Google’s James Brodsky on Securing AI and Building Security Ecosystems

Future of Threat Intelligence

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We Have The Receipts

1
Battle Camp S1: Reality Rivalries with Dana Moon & QT 1:00:36

לפני 22 ימים1:00:36

הפעל מאוחר יותר

רשימות

לייק

אהבתי

1:00:36

Do you have fond childhood memories of summer camp? For a chance at $250,000, campers must compete in a series of summer camp-themed challenges to prove that they are unbeatable, unhateable, and unbreakable. Host Chris Burns is joined by the multi-talented comedian Dana Moon to recap the first five episodes of season one of Battle Camp . Plus, Quori-Tyler (aka QT) joins the podcast to dish on the camp gossip, team dynamics, and the Watson to her Sherlock Holmes. Leave us a voice message at www.speakpipe.com/WeHaveTheReceipts Text us at (929) 487-3621 DM Chris @FatCarrieBradshaw on Instagram Follow We Have The Receipts wherever you listen, so you never miss an episode. Listen to more from Netflix Podcasts.…

לפני שנה 26:45

MP3•בית הפרקים

James walks David through Google's approach to AI security through their SAFE framework, the critical role of partnerships in building comprehensive security solutions, and the importance of continuous learning in cybersecurity. James also introduces tools like Model Armor and NotebookLM that are shaping the future of AI security.

Topics discussed:

The multiple layers of protection needed for AI systems, from infrastructure to model security, including protection against prompt injection attacks.
How Google's SAFE framework ensures privacy-first approach to AI implementation, with strict data usage and training policies.
Why even large organizations like Google need strategic partnerships for comprehensive security coverage and specialized expertise.
How fundamental security practices remain crucial for AI applications, focusing on data access control and protection.
How continuous learning through CTFs, podcasts, and hands-on experience is essential for staying current in cybersecurity.
The value of focusing on hiring passionate, curious individuals who continuously learn and adapt to new challenges.

Key Takeaways:

Implement foundational security controls for AI applications, focusing first on data location, access controls, and DLP before advancing to more complex measures.
Review OWASP's top 10 list for protecting LLMs and Google's SAFE framework as starting points for AI security best practices.
Establish clear data privacy protocols for AI models, including explicit policies about how customer data is used in model training.
Monitor AI applications for unusual behaviors like prompt injection attacks, model poisoning, and unauthorized data exfiltration.
Develop detection mechanisms for AI-driven threats like deepfake meetings by correlating calendar data with video conference attendance.
Leverage free or low-cost learning resources like CTFs, security podcasts, and platforms like Google Cloud Skills Boost for team development.
Create partnerships to fill security gaps, especially in areas requiring specialized expertise or unique data sets.
Use tools like NotebookLM to stay current with security research and white papers while managing information overload.
Maintain regular security hygiene practices for AI applications, including access control, authentication, and data protection.
Build security teams with diverse skill sets, prioritizing curiosity and continuous learning mindsets.

82 פרקים

#Cyber Risk

Google’s James Brodsky on Securing AI and Building Security Ecosystems

Future of Threat Intelligence

published לפני שנה

שתפו

MP3•בית הפרקים

Topics discussed:

The multiple layers of protection needed for AI systems, from infrastructure to model security, including protection against prompt injection attacks.
How Google's SAFE framework ensures privacy-first approach to AI implementation, with strict data usage and training policies.
Why even large organizations like Google need strategic partnerships for comprehensive security coverage and specialized expertise.
How fundamental security practices remain crucial for AI applications, focusing on data access control and protection.
How continuous learning through CTFs, podcasts, and hands-on experience is essential for staying current in cybersecurity.
The value of focusing on hiring passionate, curious individuals who continuously learn and adapt to new challenges.

Key Takeaways:

Implement foundational security controls for AI applications, focusing first on data location, access controls, and DLP before advancing to more complex measures.
Review OWASP's top 10 list for protecting LLMs and Google's SAFE framework as starting points for AI security best practices.
Establish clear data privacy protocols for AI models, including explicit policies about how customer data is used in model training.
Monitor AI applications for unusual behaviors like prompt injection attacks, model poisoning, and unauthorized data exfiltration.
Develop detection mechanisms for AI-driven threats like deepfake meetings by correlating calendar data with video conference attendance.
Leverage free or low-cost learning resources like CTFs, security podcasts, and platforms like Google Cloud Skills Boost for team development.
Create partnerships to fill security gaps, especially in areas requiring specialized expertise or unique data sets.
Use tools like NotebookLM to stay current with security research and white papers while managing information overload.
Maintain regular security hygiene practices for AI applications, including access control, authentication, and data protection.
Build security teams with diverse skill sets, prioritizing curiosity and continuous learning mindsets.

82 פרקים

#Cyber Risk

כל הפרקים

Future of Threat Intelligence

1
Rapid7’s Lonnie Best on Measuring SOC Success Beyond Alert Closures 21:25

לפני 12 ימים21:25

21:25

In a world obsessed with cutting-edge security technology, Lonnie Best , Senior Manager of Detection & Response Services at Rapid7 , makes a compelling case for mastering the fundamentals. After transitioning from craft beer journalism through nuclear security to cybersecurity, Lonnie witnessed the evolution of ransomware attacks from "spray and pray" tactics to sophisticated credential theft and security tool disablement. His insights reveal why 54% of incident response engagements still trace back to inadequate MFA implementation, and why understanding "how computers compute" creates better security professionals than certifications alone. Lonnie also shares practical wisdom on building effective security operations, avoiding analyst burnout, and measuring program success. As AI increasingly handles tier-one alert triage, he predicts the traditional junior analyst role will fundamentally change within 5-10 years — though human expertise will always remain essential for validating what machines uncover. Topics discussed: The evolution of attack sophistication from "spray and pray" ransomware to targeted credential theft and security tool disablement, requiring more comprehensive detection capabilities. How managed detection and response (MDR) services have evolved to provide enterprise-grade security capabilities to organizations lacking internal resources or security maturity. The critical components of building an effective internal SOC: centralized logging through SIEM implementation, specialized security expertise across multiple domains, and leadership strategies to combat analyst burnout. Implementing AI and machine learning for tier-one alert triage to reduce analyst fatigue while maintaining human oversight for validation, with predictions that traditional junior analyst roles will transform within 5-10 years. Why traditional metrics like alert closures fail to accurately measure SOC analyst performance, requiring more nuanced approaches focusing on contribution quality rather than quantity. The hiring dilemma of attitude versus aptitude in security analysts, revealing why foundational system administration experience creates more effective investigators than certifications alone. Strategies for preventing analyst burnout through appropriate tooling, staffing levels, and leadership practices that recognize security's 24/7 operational demands. The persistent gap between security knowledge and implementation, as demonstrated by 54% of incident response engagements in 2024 resulting from inadequate MFA deployment or enforcement. Practical fundamentals for effective security: comprehensive asset inventory, attack surface management, vulnerability remediation, and understanding where critical assets reside. Key Takeaways: Implement multi-factor authentication across all access points to address the root cause behind 54% of incident response engagements in 2024, according to Rapid7's metrics. Build your security operations center with centralized logging through SIEM implementation as the core foundation before expanding detection capabilities. Recruit security analysts with system administration experience rather than just certifications to ensure practical understanding of system behavior and anomaly detection. Deploy AI and machine learning solutions specifically for tier-one alert triage to combat analyst fatigue while maintaining human oversight for validation. Create comprehensive asset inventories that identify and map all crown jewels and their access paths before implementing advanced security controls. Develop leadership strategies that address security's 24/7 operational demands, including appropriate time-off policies and workload management to prevent burnout. Measure security operations performance through nuanced metrics beyond alert closures, focusing on the quality of investigations and genuine threat detection. Structure your security team with specialized roles (threat hunting, cloud detection, malware analysis) to create effective career paths and deeper expertise. Incorporate regular one-on-one meetings with security analysts to assess performance challenges and identify improvement areas beyond traditional metrics. Prioritize attack surface management alongside vulnerability remediation to understand how attackers could gain entry and navigate toward critical assets. Listen to more episodes: Apple Spotify YouTube Website…

Future of Threat Intelligence

1
Rapyd’s Nir Rothenberg on Breaking the CISO Burnout Cycle Through Focused Priorities 28:27

לפני 26 ימים28:27

28:27

From cleaning up after an insider theft of the notorious Pegasus spyware to safeguarding billions in payment transactions, Nir Rothenberg brings battlefield-tested security leadership to his role as CISO/CIO at Rapyd , and joins David on this episode of The Future of Threat Intelligence to share all his lessons learned. In this no-holds-barred conversation , Nir delivers a wake-up call to security leaders still pretending they can defend against everything, offering instead a radical prioritization framework shaped by watching elite hackers routinely break supposedly "unbreakable" systems. Nir challenges conventional CISO thinking by ruthlessly eliminating theoretical threats from his roadmap, explaining why even Google-level security can't ultimately stop determined nation-state attackers, and providing practical strategies for focusing resources exclusively on threats that organizations can realistically defend against. Topics discussed: The challenges of prioritizing security efforts based on attacker capability tiers, focusing resources on threats that can realistically be defended against rather than top-tier nation-state actors. How working with elite offensive security teams fundamentally transforms a defender's understanding of what's feasible in attack scenarios and reshapes security investment decisions. The evolution of breach disclosure practices and why current placative approaches prioritize shareholder confidence over sharing actionable details that would help other defenders. Strategic approaches to developing security capabilities through partnerships rather than building in-house, particularly for specialized functions like threat intelligence. Why even major crypto breaches often stem from preventable issues like social engineering rather than sophisticated technical exploits, and how to prioritize defenses accordingly. Practical strategies for combating CISO burnout through focused prioritization and avoiding the tendency of boiling the ocean that leads to ineffective security programs. Creating collaborative security ecosystems that leverage the numerical advantage defenders have over attackers when working together effectively. How to extract meaningful intelligence from breaches beyond just indicators of compromise, focusing on understanding attacker methodologies and misconfigurations that can be tested and remediated. Key Takeaways: Prioritize security resources based on attacker capability tiers, focusing efforts on threats that can realistically be defended against rather than top-tier nation-state actors that will find a way in regardless of defenses. Implement a strategic partnership approach with specialized security vendors instead of building capabilities like threat intelligence in-house, leveraging their decades of experience to enhance your security posture more efficiently. Demand more detailed technical information in breach disclosures from vendors and partners, seeking specific misconfigurations and vulnerabilities that were exploited rather than just indicators of compromise. Position your security leadership role within the management team to enable greater impact, reducing bureaucratic barriers to implementing innovative security controls and technologies. Evaluate emerging security startups as design partners before they become widely known, creating a competitive advantage through early access to cutting-edge security capabilities. Challenge theoretical security risks like AI data exposure by comparing them with documented threats that have caused actual damage, allocating resources proportionally to proven rather than hypothetical dangers. Leverage M&A transitions as opportunities to eliminate technical debt and modernize security practices rather than just viewing them as risk events requiring assessment. Adopt comprehensive breach intelligence sources like the Verizon Breach Report to compensate for the limited technical detail in most public breach disclosures. Combat CISO burnout by focusing exclusively on security elements you can control and impact. Create collaborative security ecosystems with partners, vendors, and internal teams to maximize the numerical advantage defenders have over attackers when working together effectively.…

Future of Threat Intelligence

1
Option Care’s Jill Rhodes on Uniting Legal Expertise and Cybersecurity in Healthcare 28:39

לפני 6 weeks28:39

28:39

Jill Rhodes , SVP & CISO at Option Care Health , shares her unconventional journey from international development lawyer stationed in Bolivia and Moscow to healthcare leader, where she built the security program from the ground up as the organization's first CISO. Jill outlines for David how a transformative assignment at an intelligence agency sparked her cybersecurity passion before she helped build cloud environments for the intelligence community. Now, she's leveraging this background to develop what she calls the rainbow of security — a visual security model for board communications — while building a security culture so pervasive that employees discuss security without her team present. Her approach, balancing legal analytical thinking with strategic security vision, demonstrates how healthcare CISOs can navigate a complex regulatory landscape of HIPAA plus 50 different state laws while maintaining the essential visibility needed for comprehensive threat intelligence. Topics discussed: Transforming organizational behavior through the Ambassador Program that deploys 100+ non-technical employees as security advocates. Conducting pre-meeting content reviews with non-technical audiences including family members and business partners to ensure security concepts are translated from technical language into business value propositions. Navigating the complex healthcare regulatory landscape that requires simultaneous compliance with federal HIPAA requirements and 50 distinct state privacy laws versus the unified security framework of intelligence agencies. Implementing the rainbow of security visualization framework that maps security controls from perimeter to internal systems, making complex security architecture understandable to board members while facilitating threat intelligence integration. Building security teams through maturity-based prioritization by conducting comprehensive security maturity assessments before hiring, then strategically filling gaps starting with technical experts to complement leadership's strategic orientation. Measuring security program effectiveness through cultural integration metrics rather than technical KPIs by tracking whether security considerations arise organically in conversations when security personnel aren't present. Applying intelligence community verification methodology to threat intelligence by requiring multiple non-derivative data sources to validate information, particularly crucial as healthcare-specific threat intelligence accessibility has declined. Key Takeaways: Implement a security ambassador program by recruiting non-technical employees across your organization to meet monthly, discuss security topics relevant to both work and personal life, and serve as security advocates within their departments. Translate technical security concepts for board presentations by testing your content on non-technical family members and business partners first — if they don't understand it, executives won't either. Construct your security team strategically by first conducting a comprehensive security maturity assessment to identify gaps, then hiring for skills that complement leadership's background rather than duplicating existing expertise. Develop a visual security framework that maps controls from perimeter to internal systems, making complex architecture understandable to executives while providing structure for threat intelligence integration. Measure security program effectiveness through cultural indicators rather than just technical metrics, specifically tracking whether security considerations arise organically in conversations when security personnel aren't present. Validate threat intelligence using the intelligence community verification methodology by requiring multiple non-derivative data sources before acting on information, especially important as healthcare-specific intelligence becomes less accessible. Navigate complex healthcare regulations by partnering closely with privacy, compliance, and business teams to create a collaborative approach to security rather than viewing it as a balance between competing priorities. Build security partnerships across departments, especially with finance, privacy, and compliance teams, to frame security risks in business language rather than technical terms and strengthen organizational buy-in. Transform security behaviors by comparing security adoption to the evolution of seatbelt use — initially resisted but eventually becoming automatic — to normalize security practices throughout the organization. Apply intelligence community analytical thinking to private sector security challenges by focusing on asking the right questions rather than having all the technical answers, particularly valuable for CISOs with non-technical backgrounds.…

Future of Threat Intelligence

1
Silverado Policy Accelerator’s Dmitri Alperovitch on Hunting Intruders After They're Already In 28:00

לפני 9 weeks28:00

28:00

In this episode of The Future of Threat Intelligence, Dmitri Alperovitch , Co-founder & Executive Chairman at Silverado Policy Accelerator and Author of World on the Brink: How America Can Beat China in the Race for the 21st Century , delivers a stark warning about the second Cold War with China that's unfolding, from military and nuclear arms races to space competition and technological rivalry. Dmitri also shares how the Volt Typhoon intrusions represent deliberate "preparation of the battlefield" for potential conflict. He explains why Salt Typhoon could represent one of America's greatest counterintelligence failures. Topics discussed: The evolution of Chinese cyber operations from noisy, sloppy techniques in 2010 to today's sophisticated threats that represent unprecedented counterintelligence failures. How the Volt Typhoon intrusions into critical infrastructure serve as "preparation of the battlefield" designed to impede America's ability to defend Taiwan during potential conflict. The concrete evidence of China's Taiwan invasion preparations, including specialized bridge barges designed to land armored forces directly onto Taiwan's highways. Why Taiwan's 40% share of global semiconductor manufacturing creates catastrophic economic risk that could trigger a 5% compression in global GDP if disrupted. The fundamental flaw in prevention-focused security models and why CrowdStrike's hunt-focused approach better addresses persistent nation-state threats. Why the concept of "deterrence by denial" fails in cyberspace, unlike in physical warfare where anti-ship capabilities and other tactics can effectively deter invasion. The organizational dysfunction in US government cybersecurity, where even CISA lacks operational control over civilian networks and agencies operate in silos. Key Takeaways: Implement a hunt-focused security strategy that assumes adversaries will penetrate initial defenses, allocating resources to rapidly detect and eject intruders during their post-exploitation activities before they can accomplish objectives. Evaluate your organization's target value to nation state actors rather than simply comparing your defenses to industry peers, recognizing that highly valuable targets will face persistent campaigns lasting years, regardless of defensive measures. Acknowledge the inherent tension between security and availability requirements in your industry, developing tailored frameworks that balance operational resilience against the risk of catastrophic compromise. Diversify semiconductor supply chains in your technology procurement strategy to reduce dependency on Taiwan-manufactured chips, preparing contingency plans for severe disruptions in global chip availability. Incorporate geopolitical risk analysis into your security planning, particularly regarding China-Taiwan tensions and the projected window of heightened vulnerability identified by intelligence experts. Revise incident response playbooks to address sophisticated nation-state intrusions like Volt Typhoon that target critical infrastructure as "preparation of the battlefield" rather than immediate data theft. Establish clear security governance across organizational silos, addressing the dysfunction that plagues even government agencies where CISA lacks operational control over civilian networks. Shift security metrics from prevention-focused measurements to detection speed, dwell time reduction, and ability to prevent objective completion even after initial compromise. Challenge assumptions about deterrence by denial in your security architecture, recognizing that unlike physical defenses, cyber adversaries have virtually unlimited attack vectors requiring fundamentally different defensive approaches. Prioritize protection of your most valuable digital assets based on adversary objectives rather than spreading resources evenly, recognizing that nation-state actors will specifically target strategic information regardless of general security posture. Join us for the 15th anniversary of RISE in San Francisco this April 8-9, where cybersecurity professionals, law enforcement, and threat intelligence analysts come together for two days of TLP-RED content sharing and hands-on collaboration in the fight against cybercrime. Apply now at http://www.cymru.com/rise . Listen to more episodes: Apple Spotify YouTube Website…

Future of Threat Intelligence

1
Directions on Microsoft’s Wes Miller on Harmonizing Microsoft's Security & Identity Tools 24:28

לפני 10 weeks24:28

24:28

What happens when Microsoft's on-premises security falls behind while cloud innovation accelerates? In this episode of The Future of Threat Intelligence, Wes Miller , Research Analyst for Microsoft Identity, Security, and Management at Directions on Microsoft , pulls back the curtain on Microsoft's fragmented security landscape. Having survived the historic Windows security push during his 7 years at Microsoft and spent the last 15 years analyzing their enterprise strategy, Wes delivers an insider's perspective on why vulnerable legacy systems like Exchange Server, Certificate Services, and Federation Services have become prime attack vectors while Microsoft focuses its innovation almost exclusively on cloud services. He also walks David through why organizations are struggling with critical misconceptions about Entra ID, reveals how Microsoft's release notes contain hidden threat intelligence, and shares tactical approaches to influence Microsoft's security roadmap through strategic stakeholder relationships. Topics discussed: The critical security gap between Microsoft's cloud-focused investments and neglected on-premises systems like Exchange, Certificate Services, and Federation Services. How analyzing Microsoft Defender update notes provides a "hidden" threat intelligence feed that reveals emerging attack patterns targeting enterprise environments. The misconception that Active Directory and Entra ID are similar systems, when they require fundamentally different security approaches. Why entitlement management represents the essential intersection between security and identity teams, connecting HR processes directly to access lifecycles. The strategic challenge of harmonizing legacy and cloud identity systems while protecting non-Microsoft workloads in increasingly Microsoft-centric environments. Practical methods for large enterprises to influence Microsoft's security roadmap through targeted stakeholder relationships and coordinated feedback. How certificate servers often operate as "forgotten infrastructure" within organizations, creating prime attack vectors that Microsoft's Defender for Identity is specifically designed to detect. The threat of Microsoft potentially limiting third-party identity provider integration capabilities, and strategies for maintaining ecosystem diversity. Key Takeaways: Monitor Microsoft Defender release notes to identify emerging attack patterns that Microsoft is actively detecting across their customer base, providing valuable threat intelligence without additional cost. Implement entitlement management systems that connect HR processes directly to identity lifecycles, ensuring proper access provisioning and deprovisioning throughout employee transitions. Audit your on-premises certificate servers and federation services which often operate as "forgotten infrastructure" and represent prime attack vectors. Develop a comprehensive strategy for synchronizing Active Directory and Entra ID, recognizing their fundamental architectural differences rather than treating them as interchangeable systems. Establish strategic relationships with Microsoft stakeholders to influence their security roadmap, leveraging coordinated feedback when features don't align with real-world enterprise security needs. Harmonize legacy and cloud identity systems by mapping complete workflows and identifying potential integration gaps between Microsoft's on-premises and cloud-based security tools. Evaluate third-party identity providers for critical non-Microsoft workloads, addressing the potential limitations of Microsoft's tightening control over Entra ID integration capabilities. Prioritize Exchange Server security through rigorous patch management and enhanced monitoring, as Microsoft has effectively "abandoned" on-premises Exchange according to Wes Miller. Integrate security and identity management teams through shared workflow processes, recognizing their interdependence rather than maintaining traditional organizational silos. Document architectural limitations of Microsoft's identity systems, particularly in hybrid environments where cloud and on-premises systems must interoperate securely. Join us for the 15th anniversary of RISE in San Francisco this April 8-9, where cybersecurity professionals, law enforcement, and threat intelligence analysts come together for two days of TLP-RED content sharing and hands-on collaboration in the fight against cybercrime. Apply now at http://www.cymru.com/rise .…

Future of Threat Intelligence

1
Wikistrat’s Jeffrey Caruso on New Methods in Cyber-Physical Attacks 25:20

לפני 11 weeks25:20

25:20

In this episode of The Future of Threat Intelligence, Jeffrey Caruso , Senior Analyst at Wikistrat & Author of Inside Cyber Warfare , shares examples of how teams with minimal budgets achieved kinetic effects through OT system manipulation — from destroying missile research facilities to compromising subway systems and burning down FSB-affiliated banks. His findings, based on two years documenting Ukrainian cyber operations, demonstrate how deep supply chain understanding and innovative attack methods are proving more effective than conventional nation-state capabilities. Through methodical vendor system compromise and strategic engineering documentation exfiltration, he tells with David how these teams have developed techniques for creating cascading physical effects without entering Russian territory. Notably, they've demonstrated that successful cyber-physical attacks don't require massive resources; instead, success comes from understanding system interdependencies and supply chain relationships, combined with the ability to interrogate key technical personnel about specific system behaviors. This research challenges traditional security models that emphasize tool stacks over team composition and suggests that adversary categorization (nation-state vs. criminal) may be less relevant than previously thought. Topics discussed: How Ukrainian teams executed cyber-physical attacks by compromising vendor systems to obtain engineering diagrams and documentation, then exploiting OT vulnerabilities to create kinetic effects. Why commercial security tools face limitations in addressing these attack methods due to business model constraints and design approach. Technical examination of supply chain compromise techniques enabling physical infrastructure attacks, with examples of vendor system exploitation. Evidence supporting an "adversary agnostic" approach to defense rather than traditional threat actor categorization. Practical insights on building security teams by prioritizing mission focus and institutional loyalty over technical credentials. Analysis of how OT system trial-and-error testing creates new risks for critical infrastructure protection Key Takeaways: Implement an adversary-agnostic defense strategy rather than focusing on threat actor categorization, as demonstrated by Ukrainian operations showing how even small teams can achieve nation-state-level impacts. Prioritize supply chain security assessments by mapping vendor relationships and identifying potential engineering documentation exposure points that could enable cyber-physical attacks. Establish comprehensive OT system monitoring to detect trial-and-error testing patterns that could indicate attackers attempting to understand system behavior for kinetic effects. Transform security team building by prioritizing veteran hiring and mission focus over technical credentials alone, focusing on demonstrated loyalty and motivation. Design resilient backup systems and fail-safes for critical infrastructure, operating under the assumption that primary defenses will be compromised. Evaluate commercial security tools against their fundamental design limitations and business model constraints rather than feature lists alone. Document all subsystems and interdependencies in OT environments to understand potential cascade effects that could be exploited for physical impact. Build security team loyalty through comprehensive support services, competitive compensation, and burnout prevention rather than relying on high-paid "superstar" hires. Develop verification checkpoints throughout automated security processes rather than assuming tool effectiveness, particularly for critical infrastructure protection. Create architectural resilience by assuming breach scenarios and implementing multiple layers of manual oversight for critical system changes. Join us for the 15th anniversary of RISE in San Francisco this April 8-9, where cybersecurity professionals, law enforcement, and threat intelligence analysts come together for two days of TLP-RED content sharing and hands-on collaboration in the fight against cybercrime. Apply now at http://www.cymru.com/rise . Listen to more episodes: Apple Spotify…

Future of Threat Intelligence

1
Rapid7’s Deral Heiland on Why Your Network Segmentation Strategy Overlooks IoT Risk 29:31

לפני 12 weeks29:31

29:31

Deral Heiland ’s research has uncovered critical vulnerabilities across the IoT spectrum, from office printers to medical devices, revealing how seemingly isolated devices can compromise entire networks. In one investigation, he discovered active credentials for five major hospital systems still present on secondhand medical equipment. With extensive experience, including his current role as Principal Security Research (IoT) at Rapid7 , Deral breaks down why IoT security requires examining entire ecosystems rather than individual devices, and shares practical frameworks for testing and securing IoT infrastructure at scale. On this episode of The Future of Threat Intelligence, Deral walks David through how his team's testing methodology examines the full attack surface: embedded device firmware, cloud APIs, management interfaces, and critically — the often-overlooked inter-chip communications. Topics discussed: The development of an IoT testing methodology that maps complete device ecosystems: examining firmware extraction points, analyzing unencrypted inter-chip communications, evaluating cloud API security posture, and testing management interface access controls. A technical analysis of inter-chip communication vulnerabilities, where internal busses like I2C and SPI often transmit authentication credentials and sensitive data without encryption, even in devices with strong external security. An example of lateral movement through a state government network via unsegmented security cameras, demonstrating how default credentials and shared infrastructure bypassed department-level network isolation. A framework for building IoT security testing capabilities, progressing from web/API/mobile security foundations to hardware-specific skills like firmware analysis and bus protocol monitoring. Research findings on medical device disposal practices, identifying active directory credentials, Wi-Fi PSKs, and other sensitive data retained in second-hand equipment across five major hospital systems. Practical strategies for securing unpatchable legacy IoT devices through network segmentation, behavioral baseline monitoring, and access control reconfiguration. Integration of AI tools to accelerate IoT security testing, focusing on firmware analysis automation while maintaining human oversight of test methodology and results validation. Implementation of coordinated vulnerability disclosure programs specifically designed for IoT vendors, including practical mitigation strategies for devices that cannot be immediately patched. Key Takeaways: Map IoT device communication pathways by monitoring all traffic types and documenting API endpoints, cloud services, and management interfaces to understand the complete attack surface. Implement protocol-aware monitoring for inter-chip communications to detect unauthorized data access at the hardware level, even when external interfaces are secured. Deploy VLAN segmentation with explicit access controls for IoT devices, using separate networks for different device types with monitored cross-VLAN communication. Create device behavior baselines using network flow analysis to identify normal communication patterns and detect anomalous activities that could indicate compromise or misuse. Establish IoT asset disposal procedures that include secure erasure verification, credential revocation, and documentation of all removed sensitive data before decommissioning. Implement network access controls for legacy devices based on known-good behavior patterns, restricting communication to required services and monitoring for deviation from baseline. Deploy protocol-specific IDS rules for IoT device traffic, focusing on device-specific anomalies rather than traditional network attack signatures. Develop hardware testing capabilities by starting with API/mobile security testing, then progressively adding firmware analysis and hardware protocol monitoring skills. Create incident response playbooks specifically for IoT devices, including procedures for evidence collection from embedded systems and cloud service logs. Structure vulnerability disclosure processes around providing configuration-based mitigations when patches aren't available, focusing on network isolation and access control recommendations Join us for the 15th anniversary of RISE in San Francisco this April 8-9, where cybersecurity professionals, law enforcement, and threat intelligence analysts come together for two days of TLP-RED content sharing and hands-on collaboration in the fight against cybercrime. Apply now at http://www.cymru.com/rise .…

Future of Threat Intelligence

1
IDC's Frank Dickson on Moving from Reactive to Proactive Security Strategy 31:51

לפני 13 weeks31:51

31:51

What happens when you combine market research expertise with cybersecurity strategy? On this episode of The Future of Threat Intelligence, Frank Dickson , Group VP of Security & Trust at IDC , shares his journey from market research to leading a team of 20 cybersecurity analysts advising organizations on security strategy. Frank walks David through the industry's shift from reactive security to proactive threat management, discussing why traditional metrics need to evolve and how security leaders can better communicate risk to business stakeholders. His unique perspective on the CISO role's evolution, the impact of organizational complexity on security, and the strategic importance of data management reveals why technical expertise alone isn't enough for modern security leadership. Topics discussed: Moving from reactive security to proactive threat management through strategic metrics and improved risk communication approaches. The evolution of the CISO role from technical expert to business leader, including critical communication and customer service skills. Impact of organizational complexity on security effectiveness, particularly in environments with legacy systems and acquisitions. Strategic approaches to managing and leveraging threat intelligence data while avoiding unnecessary complexity and redundancy. Balancing necessary and unnecessary risks when implementing AI and machine learning in security programs. Importance of translating cyber risk into business risk for effective communication with executives and board members. The evolution of security leadership reporting structures in response to changing business technology dynamics. Building strategic security programs that focus on simplification and clear business alignment. The challenges of regulation in driving security adoption while maintaining agility and effectiveness. Developing security metrics that meaningfully communicate value and risk to business stakeholders. Key Takeaways: Implement mean time to detection and mean time to remediation as core metrics to measure security program effectiveness and efficiency. Transform threat data into actionable intelligence by aligning it specifically with your environment's outcomes and requirements. Streamline security infrastructure by consolidating tools and platforms to reduce complexity and improve manageability. Establish direct CISO-to-CEO reporting structures to effectively manage security across line-of-business technology initiatives. Develop customer service capabilities within security leadership to support sales processes and stakeholder relationships. Structure security communications around business risk rather than technical metrics to improve executive understanding and support. Create standardized taxonomies using frameworks like MITRE ATT&CK and OCSF to make security data more homogeneous and actionable. Evaluate AI implementation risks by distinguishing between necessary innovation risks and unnecessary implementation risks. Build security leadership skills progressively through compliance, business acumen, and executive communication capabilities. Maintain comprehensive data inventories to prevent orphaned data and reduce unnecessary security exposure. Join us for a milestone celebration as RISE marks its 15th year of bringing together elite cybersecurity professionals, law enforcement, and enterprise teams. Apply now to be part of RISE USA 2025 April 8 - 9th in San Francisco: https://www.team-cymru.com/rise-usa . Space is limited.…

Future of Threat Intelligence

1
ISG's Jeff Orr on Moving Beyond Perimeter Defense to Dynamic Security 29:33

לפני 14 weeks29:33

29:33

Jeff Orr , Director of Research & IT Technologies at ISG , brings over three decades of technology experience to his discussion with David about transforming enterprise security approaches. On this episode of The Future of Threat Intelligence, Jeff shares his explanation for why traditional security investments focused primarily on protection are leaving organizations vulnerable, with 98% experiencing significant incidents despite increased spending. The conversation also explores the critical need to shift from perimeter defense to comprehensive security programs that include detection and recovery, while addressing the challenges of limited budgets and resources. Jeff offers practical insights about aligning security with business objectives, leveraging AI effectively, and building valuable industry peer networks to stay ahead of emerging threats. Topics discussed: The evolution from traditional perimeter defense approaches to comprehensive security programs that include detection and recovery capabilities. Research findings that show 98% of organizations experienced significant security incidents despite increased investment in protection. The importance of aligning security goals with business objectives rather than treating security as an isolated technical challenge. Leveraging AI and machine learning as assistive technologies to help address staffing gaps and alert fatigue in security operations. Balancing security investments across protection, detection, and recovery capabilities while operating under constrained budgets. The role of experience and human intuition in security operations, and how AI can complement but not replace seasoned practitioners. Building effective community networks within industries and geographic regions to share threat intelligence and security insights. The importance of breaking down silos between IT and security teams to leverage existing tools and observability capabilities. Developing risk-based approaches to security that align with business risk appetite and operational priorities. Creating effective tabletop exercises that include business stakeholders to better understand and prepare for security incidents. Key Takeaways: Diversify security investments beyond perimeter protection by allocating specific budget percentages to detection and recovery capabilities. Establish clear metrics linking security initiatives to business outcomes through collaboration with department leaders and stakeholders. Implement automated threat intelligence sharing within your industry vertical to leverage collective insights about emerging attack patterns. Deploy AI-powered security tools strategically to address alert fatigue while maintaining human oversight of critical security decisions. Create cross-functional teams between IT and security to leverage existing observability tools and network monitoring capabilities. Develop comprehensive incident response plans that include business continuity strategies beyond just technical recovery procedures. Institute regular brown bag sessions between security and IT teams to share knowledge about emerging threats and technical capabilities. Build regional security partnerships with peer organizations to share attack intelligence and mitigation strategies. Schedule quarterly tabletop exercises that involve business stakeholders in scenario planning for security incidents.…

Future of Threat Intelligence

1
Meta's Oded Anderman on Preventing Unauthorized Data Collection 20:42

לפני 15 weeks20:42

20:42

Where is the balance between data accessibility and protection in today's interconnected digital landscape? Oded Anderman , Privacy Lead at Meta , has plenty of insights on this question and more from his journey from financial services to protecting user data at one of the world's largest social platforms. His conversation with David on this episode of The Future of Threat Intelligence explores how the proliferation of connected devices, advancement in AI, and evolving regulatory frameworks are reshaping our approach to data privacy. Oded also touches on why unauthorized data scraping poses risks for organizations of all sizes, not just social media giants, and offers practical strategies for implementing effective privacy protection measures while maintaining essential business functions. Topics discussed: The evolution of data scraping threats, from simple email harvesting to sophisticated automated collection affecting organizations of all sizes. The impacts of technological advancements, including AI and machine learning, on both data collection capabilities and protective measures. How regulatory frameworks like GDPR and CCPA shape organizational approaches to data protection and privacy. Strategies for distinguishing between legitimate data collection and unauthorized scraping while maintaining business accessibility. Comprehensive anti-scraping programs that incorporate prevention, detection, and enforcement capabilities. Importance of industry collaboration through organizations like the Mitigating Unauthorized Scraping Alliance. Challenges of balancing privacy protection with legitimate research needs through controlled data access programs. The growing need for consumer education and digital literacy in protecting personal information online. Evolution of privacy policies and communication strategies to make data practices more transparent and accessible. Key Takeaways: Implement a comprehensive anti-scraping strategy that addresses prevention, detection, and enforcement rather than focusing on single-point solutions. Recognize that unauthorized data scraping affects organizations of all sizes, not just large social media platforms. Develop clear protocols for distinguishing between legitimate data collection and unauthorized scraping activities. Stay informed about evolving regulatory frameworks and adjust data protection strategies accordingly. Invest in consumer education and transparent communication about data practices and privacy policies. Participate in industry collaborations and information sharing to stay ahead of emerging threats. Balance security measures with business accessibility to maintain user value while protecting data. Consider both technical and regulatory aspects when developing data protection strategies. Maintain awareness of emerging technologies that could impact both threat scenarios and protective measures. Prepare for future developments in the data protection landscape, including potential governed data exchange platforms.…

Future of Threat Intelligence

1
Maltego's Ben April on Using Commander's Intent for Remote Team Success 18:39

לפני 16 weeks18:39

18:39

When Ben April started managing remote teams in 2005, the concept was nearly unheard of. Now, as CTO of Maltego , he brings nearly two decades of distributed team leadership experience, which he shares with David in this episode of The Future of Threat Intelligence. From implementing Commander's Intent for clear direction to ensuring mental health support during the pandemic, Ben brings practical wisdom about building strong remote cultures that transcend time zones and technology challenges. His unique perspective on hybrid versus fully remote environments reveals why seemingly simple choices about communication tools and meeting structures can make or break team cohesion. Drawing from experiences that span from the early days of remote work through the global pandemic and beyond, Ben has invaluable insights about preventing burnout, maintaining work-life boundaries, and fostering genuine connection in distributed teams. Topics discussed: Establishing effective communication protocols across multiple time zones while preventing isolation and maintaining team cohesion. Managing the unique challenges of hybrid work environments versus fully remote teams, including the risk of excluding remote team members. Developing strategies for monitoring and supporting remote employees' mental health. Building strong remote team cultures through regular video connections, virtual social activities, and periodic in-person gatherings. Adapting leadership methodologies to effectively manage distributed teams while maintaining clear lines of communication. Identifying key characteristics and qualities when hiring for remote positions, including self-motivation and adaptability. Leveraging follow-the-sun operations for enhanced productivity and continuous coverage across global time zones. Balancing the benefits of remote work flexibility with the need for face-to-face collaboration and team building. Creating dedicated workspaces and establishing clear work-life boundaries to prevent burnout in remote work settings. Implementing Commander's Intent leadership strategy to empower remote teams in making autonomous decisions aligned with organizational goals. Key Takeaways: Prioritize video communication to maintain human connection and monitor team wellbeing in remote environments. Focus on building inclusive communication practices that prevent hybrid environments from creating two-tier team structures. Schedule regular face-to-face meetings to strengthen team bonds and align on strategic objectives. Create opportunities for non-work social interaction to maintain team cohesion across remote environments. Look for self-motivated candidates with strong communication skills when hiring for remote positions. Leverage global time zones strategically for enhanced operational coverage and team handoffs. Establish dedicated workspaces and clear boundaries between work and personal life to prevent remote work burnout. Implement Commander's Intent to provide clear direction while allowing remote teams autonomy in decision-making.…

Future of Threat Intelligence

1
The Cyber Hut's Simon Moffatt on Transforming Identity Security from Static to Dynamic Defense 25:22

לפני 17 weeks25:22

25:22

David steps into the new world of identity security with Simon Moffatt , Founder & Research Analyst at The Cyber Hut , on the latest episode of The Future of Threat Intelligence. With over two decades of experience, Simon illuminates the dramatic transformation from static directory management to dynamic, threat-informed security architecture. He walks through the challenges of modern identity security, exploring how cloud computing, remote work, and the rise of non-human identities are reshaping our approach to access management. Simon shares invaluable insights on building adaptive security systems that can respond in real time to emerging threats while balancing usability and privacy concerns. From passwordless authentication to AI-driven security controls, discover how organizations can move beyond traditional static defenses to create more resilient security architectures for an increasingly complex digital landscape. Topics discussed: The evolution of identity security from static directory management to dynamic, adaptive systems responding to real-time threat intelligence and behavioral analysis. Misconceptions about identity threat intelligence and the importance of moving from static protections to dynamic, responsive security controls. The intersection of zero trust architecture with identity security principles and how both concepts transcend individual product implementations. Emerging trends in non-human identity management, including API security, workload identity, and infrastructure automation authentication challenges. Implementation of adaptive access controls that can make fine-grained security decisions based on real-time context and behavioral analysis. Balancing privacy considerations with the need for comprehensive security monitoring and threat intelligence sharing across organizations. The rise of passwordless authentication and its impact on both security posture and user experience in modern digital environments. Strategies for understanding and mapping your complete identity landscape, including human and non-human identities across cloud and on-premises systems. The importance of runtime behavior monitoring and real-time intervention capabilities in modern identity security architectures. Practical approaches to implementing threat-informed defense strategies while maintaining operational efficiency and user productivity. Key Takeaways: Map your complete identity landscape across cloud and on-prem environments to establish a comprehensive visibility baseline for both human and non-human identities. Implement adaptive authentication controls that can dynamically adjust access permissions based on real-time context and behavioral analysis. Deploy passwordless authentication solutions to enhance both security posture and user experience while eliminating password-related vulnerabilities. Establish robust authentication mechanisms for non-human identities, including API credentials, service accounts, and infrastructure automation tools. Design fine-grained access controls that can respond to contextual changes by adjusting permissions in real-time rather than simply terminating sessions. Integrate threat intelligence feeds with identity security controls to enable dynamic, threat-informed defensive responses. Develop privacy-preserving methods for sharing threat intelligence across organizations while maintaining competitive boundaries and regulatory compliance. Build resilient identity architectures that assume breach scenarios and focus on rapid detection and response capabilities. Monitor runtime behaviors of both human and non-human identities to establish baseline patterns and detect anomalous activities. Create surgical, precise security controls informed by sector-specific threats and actual attack patterns targeting your industry.…

Future of Threat Intelligence

1
Zoom's Lee Ramsey on Transforming Customer Service Skills into Cybersecurity Success 15:08

לפני 18 weeks15:08

15:08

David ’s latest guest on The Future of Threat Intelligence points out the unexpected ways his customer service background enhances his cybersecurity work. From mastering the art of asking the right questions to navigating remote SOC operations, Lee Ramsey , Senior Security Analyst at Zoom shares practical insights on digital forensics, incident response, and the future of AI in security. Drawing from his experience in customer service and his journey to his current role at Zoom, Lee offers valuable perspectives on building successful security teams, implementing effective incident response plans, and maintaining critical thinking in an AI-driven world. Topics discussed: The intersection of customer service skills and cybersecurity investigations, focusing on effective communication and problem-solving techniques. Common pitfalls in incident response planning and the importance of having documented procedures before crises occur. The impact of AI on digital forensics and incident response, including potential risks and benefits. Challenges and strategies for managing remote SOC operations in the post-pandemic era. Key Takeaways: Implement a documented incident response plan before you need it to avoid legal and operational complications. Borrow from customer service skills to improve security investigations through better question-asking techniques. Approach AI tools with healthy skepticism and always validate their outputs manually. Build remote SOC capabilities with proper tools and processes for remote data acquisition. Maintain team cohesion in remote environments through proactive engagement and trust-building. Document all security practice experience, including CTF participation, to demonstrate practical skills. Attend local security conferences and volunteer to build professional networks. Pursue relevant certifications for both credentials and learning opportunities. Balance tool automation with critical thinking to avoid over-reliance on technology.…

Future of Threat Intelligence

1
Google’s James Brodsky on Securing AI and Building Security Ecosystems 26:45

לפני 19 weeks26:45

26:45

In our latest episode of the Future of Threat Intelligence podcast, David is joined by James Brodsky , Head of Global Security Architects at Google , who shares insights from his extensive career in cybersecurity. Drawing from his experience at Splunk, Okta, and now Google, James discusses the challenges of securing AI applications and infrastructure, emphasizing the importance of basic security hygiene in the AI era. James walks David through Google's approach to AI security through their SAFE framework, the critical role of partnerships in building comprehensive security solutions, and the importance of continuous learning in cybersecurity. James also introduces tools like Model Armor and NotebookLM that are shaping the future of AI security. Topics discussed: The multiple layers of protection needed for AI systems, from infrastructure to model security, including protection against prompt injection attacks. How Google's SAFE framework ensures privacy-first approach to AI implementation, with strict data usage and training policies. Why even large organizations like Google need strategic partnerships for comprehensive security coverage and specialized expertise. How fundamental security practices remain crucial for AI applications, focusing on data access control and protection. How continuous learning through CTFs, podcasts, and hands-on experience is essential for staying current in cybersecurity. The value of focusing on hiring passionate, curious individuals who continuously learn and adapt to new challenges. Key Takeaways: Implement foundational security controls for AI applications, focusing first on data location, access controls, and DLP before advancing to more complex measures. Review OWASP's top 10 list for protecting LLMs and Google's SAFE framework as starting points for AI security best practices. Establish clear data privacy protocols for AI models, including explicit policies about how customer data is used in model training. Monitor AI applications for unusual behaviors like prompt injection attacks, model poisoning, and unauthorized data exfiltration. Develop detection mechanisms for AI-driven threats like deepfake meetings by correlating calendar data with video conference attendance. Leverage free or low-cost learning resources like CTFs, security podcasts, and platforms like Google Cloud Skills Boost for team development. Create partnerships to fill security gaps, especially in areas requiring specialized expertise or unique data sets. Use tools like NotebookLM to stay current with security research and white papers while managing information overload. Maintain regular security hygiene practices for AI applications, including access control, authentication, and data protection. Build security teams with diverse skill sets, prioritizing curiosity and continuous learning mindsets.…

Future of Threat Intelligence

1
Veeva Systems’ Justin Jettòn on Balancing Human Analysis and Automation in Threat Intel 31:56

לפני 20 weeks31:56

31:56

In our latest episode of the Future of Threat Intelligence podcast, David welcomes Justin Jettòn , Senior Threat Intelligence Engineer at Veeva Systems who brings his military intelligence background to discuss the evolving landscape of cybersecurity. Drawing from his experience transitioning from forensics to threat intelligence, Justin explores how AI is transforming both offensive and defensive capabilities in cybersecurity. They discuss the potential of AI in early threat detection, the critical need for breaking down organizational silos to improve collective defense, and finding the right balance between automation and human analysis. Justin also emphasizes that while technology advances, the human element remains crucial for effective threat intelligence analysis. Topics discussed: Artificial intelligence is reducing the timeline between threat identification and new attack development, lowering barriers for adversaries. Using AI models for "indications and warning" could help identify threat patterns earlier, enabling proactive defense strategies. Breaking down organizational silos and creating security collectives is crucial for effective threat intelligence in modern cybersecurity. Despite technological advances, human analysts remain essential for contextual understanding and strategic threat assessment. Adding multiple security tools can extend detection time; organizations need better strategies for tool integration and automation. Clear distinction between engineering and analyst roles, with engineers handling technology while analysts focus on assessment and dissemination. Future security teams need balanced automation with human oversight, following the military's OODA (Observe, Orient, Decide, Act) loop. Key Takeaways: Implement human verification checkpoints within automated security processes to maintain the "trust but verify" approach in threat intelligence workflows. Evaluate your organization's security tool stack to prevent tool fatigue — focus on understanding each tool's workflow before adding new ones. Develop comprehensive understanding of automation processes, from data collection points to decision thresholds, before deploying new security automation. Establish cross-organizational information sharing frameworks to enhance collective threat detection capabilities through shared AI models. Differentiate clearly between threat intelligence engineering and analyst roles to optimize team structure and workflow efficiency. Incorporate the OODA loop (Observe, Orient, Decide, Act) methodology into your threat intelligence processes, ensuring human oversight at critical points. Broaden your threat intelligence perspective by studying geopolitical events and connecting them to potential cybersecurity implications. Create sampling protocols to regularly verify that automated security systems are functioning as intended and catching relevant threats. Build collaborative relationships with ISPs, tech companies, and security vendors to expand threat detection capabilities beyond organizational boundaries. Document automation workflows thoroughly to ensure security teams understand where decision points occur and how data flows through the system.…

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Future of Threat Intelligence « » Google’s James Brodsky on Securing AI and Building Security Ecosystems

Google’s James Brodsky on Securing AI and Building Security Ecosystems

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Google’s James Brodsky on Securing AI and Building Security Ecosystems