Redefining CyberSecurity

Leslie Kesselring, founder of Kesselring Communications, discusses how media coverage in cybersecurity is evolving, shifting towards real-time influences. Daniel Cuthbert highlights that although technology advances quickly, old security bugs persist. Michael Parisi raises alarms about operational risks from AI processes lacking visibility. Richard Stiennon forecasts a surge in AI vendors at upcoming events, while Rupesh Chokshi emphasizes the need for effective risk management strategies amid emerging technologies. The roundtable offers a rich blend of insights ahead of Black Hat 2025.

Sean Metcalf, an Identity Security Architect at TrustedSec and a seasoned speaker at major cybersecurity conferences, dives deep into the innovative use of honeypots in identity security. He explains how these deceptive tools can trap intruders while enhancing detection in Microsoft environments. Metcalf shares practical strategies for using old service accounts as bait and discusses the critical role of naming conventions in creating convincing honeypots. His insights highlight the balance between detection accuracy and the need for robust security measures.

In a thought-provoking discussion, John Salomon, a seasoned cybersecurity consultant and board member at CyAN, reveals the flaws in current hiring practices. He argues that entry-level roles often miss the mark on providing true entry points for talent. Salomon emphasizes the need for mentorship, highlighting the decline of informal guidance that previously nurtured newcomers. He advocates for investment in apprenticeship programs and a shift in perception, urging organizations to view cybersecurity as a vital area for talent development rather than just a cost center.

⬥GUEST⬥Tobias Halmans, OT Incident Responder | GIAC Certified Incident Handler | Automation Security Consultant at admeritia GmbH | On LinkedIn: https://www.linkedin.com/in/tobias-halmans/⬥HOST⬥Host: Sean Martin, Co-Founder at ITSPmagazine and Host of Redefining CyberSecurity Podcast | On LinkedIn: https://www.linkedin.com/in/imsmartin/ | Website: https://www.seanmartin.com⬥EPISODE NOTES⬥Business continuity planning is a familiar exercise for most IT and security leaders—but when you move into operational technology (OT), the rules change. In this episode of Redefining CyberSecurity, Sean Martin talks with Tobias Halmans, an incident responder at admeritia, who helps organizations prepare for and respond to incidents in OT environments. Tobias shares why disaster recovery planning in OT requires more than simply adapting IT frameworks. It demands a change in approach, mindset, and communication.OT engineers don’t think in terms of “ransomware readiness.” They think in terms of safety, uptime, manual fallback options, and how long a plant can stay operational without a SCADA system. As Tobias explains, while IT teams worry about backup integrity and rapid rebooting, OT teams are focused on whether shutting down a system—even safely—is even an option. And when the recovery plan depends on third-party vendors, the assumptions made on both sides can derail the response before it begins.Tobias walks us through the nuances of defining success in OT recovery. Unlike the IT world’s metrics like mean time to recover (MTTR), OT environments often hinge on production impacts and safety thresholds. Recovery Time Objectives (RTOs) still exist—but they must be anchored in real-world plant operations, often shaped by vendor limitations, legacy constraints, and tightly regulated safety requirements.Perhaps most importantly, Tobias stresses that business continuity planning for OT can’t just be a cybersecurity add-on. It must be part of broader risk and operational conversations, ideally happening when systems are being designed or upgraded. But in reality, many organizations are only starting these conversations now—often driven more by compliance mandates than proactive risk strategy.Whether you’re a CISO trying to bridge the gap with your OT counterparts or an engineer wondering why cyber teams keep showing up with playbooks that don’t fit, this conversation offers grounded, real-world insight into what preparedness really means for critical operations.⬥SPONSORS⬥LevelBlue: https://itspm.ag/attcybersecurity-3jdk3ThreatLocker: https://itspm.ag/threatlocker-r974⬥RESOURCES⬥Inspiring Article: https://www.linkedin.com/posts/sarah-fluchs_notfallvorsorge-in-der-ot-traut-euch-activity-7308744270453092352-Q8X1⬥ADDITIONAL INFORMATION⬥✨ More Redefining CyberSecurity Podcast: 🎧 https://www.seanmartin.com/redefining-cybersecurity-podcastRedefining CyberSecurity Podcast on YouTube:📺 https://www.youtube.com/playlist?list=PLnYu0psdcllS9aVGdiakVss9u7xgYDKYq📝 The Future of Cybersecurity Newsletter: https://www.linkedin.com/newsletters/7108625890296614912/Interested in sponsoring this show with a podcast ad placement? Learn more:👉 https://itspm.ag/podadplc Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Before a power crew rolls out to check a transformer, sensors on the grid have often already flagged the problem. Before your smart dishwasher starts its cycle, it might wait for off-peak energy rates. And in the world of autonomous vehicles, lightweight systems constantly scan road conditions before a decision ever reaches the car’s central processor.These aren’t the heroes of their respective systems. They’re the scouts, the context-builders: automated agents that make the entire operation more efficient, timely, and scalable.Cybersecurity is beginning to follow the same path.In an era of relentless digital noise and limited human capacity, AI agents are being deployed to look first, think fast, and flag what matters before security teams ever engage. But these aren’t the cartoonish “AI firefighters” some might suggest. They’re logical engines operating at scale: pruning data, enriching signals, simulating outcomes, and preparing workflows with precision."AI agents are redefining how security teams operate, especially when time and talent are limited," says Kumar Saurabh, CEO of AirMDR. "These agents do more than filter noise. They interpret signals, build context, and prepare response actions before a human ever gets involved."This shift from reactive firefighting to proactive triage is happening across cybersecurity domains. In detection, AI agents monitor user behavior and flag anomalies in real time, often initiating mitigation actions like isolating compromised devices before escalation is needed. In prevention, they simulate attacker behaviors and pressure-test systems, flagging unseen vulnerabilities and attack paths. In response, they compile investigation-ready case files that allow human analysts to jump straight into action."Low-latency, on-device AI agents can operate closer to the data source, better enabling anomaly detection, threat triaging, and mitigation in milliseconds," explains Shomron Jacob, Head of Applied Machine Learning and Platform at Iterate.ai. "This not only accelerates response but also frees up human analysts to focus on complex, high-impact investigations."Fred Wilmot, Co-Founder and CEO of Detecteam, points out that agentic systems are advancing limited expertise by amplifying professionals in multiple ways. "Large foundation models are driving faster response, greater context and more continuous optimization in places like SOC process and tools, threat hunting, detection engineering and threat intelligence operationalization," Wilmot explains. "We’re seeing the dawn of a new way to understand data, behavior and process, while optimizing how we ask the question efficiently, confirm the answer is correct and improve the next answer from the data interaction our agents just had."Still, real-world challenges persist. Costs for tokens and computing power can quickly outstrip the immediate benefit of agentic approaches at scale. Organizations leaning on smaller, customized models may see greater returns but must invest in AI engineering practices to truly realize this advantage. "Companies have to get comfortable with the time and energy required to produce incremental gains," Wilmot adds, "but the incentive to innovate from zero to one in minutes should outweigh the cost of standing still."Analysts at Forrester have noted that while the buzz around so-called agentic AI is real, these systems are only as effective as the context and guardrails they operate within. The power of agentic systems lies in how well they stay grounded in real data, well-defined scopes, and human oversight. ¹ ²While approaches differ, the business case is clear. AI agents can reduce toil, speed up analysis, and extend the reach of small teams. As Saurabh observes, AI agents that handle triage and enrichment in minutes can significantly reduce investigation times and allow analysts to focus on the incidents that truly require human judgment.As organizations wrestle with a growing attack surface and shrinking response windows, the real value of AI agents might not lie in what they replace, but in what they prepare. Rob Allen, Chief Product Officer at ThreatLocker, points out, "AI can help you detect faster. But Zero Trust stops malware before it ever runs. It’s not about guessing smarter; it’s about not having to guess at all." While AI speeds detection and response, attackers are also using AI to evade defenses, making it vital to pair smart automation with architectures that deny threats by default and only allow what’s explicitly needed.These agents are the eyes ahead, the hands that set the table, and increasingly the reason why the real work can begin faster and smarter than ever before.References1. Forrester. (2024, February 8). Cybersecurity’s latest buzzword has arrived: What agentic AI is — and isn’t. Forrester Blogs. https://www.forrester.com/blogs/cybersecuritys-latest-buzzword-has-arrived-what-agentic-ai-is-and-isnt/ (cc: Allie Mellen and Rowan Curran)2. Forrester. (2024, March 13). The battle for grounding has begun. Forrester Blogs. https://www.forrester.com/blogs/the-battle-for-grounding-has-begun/ (cc: Ted Schadler)________This story represents the results of an interactive collaboration between Human Cognition and Artificial Intelligence.Enjoy, think, share with others, and subscribe to "The Future of Cybersecurity" newsletter on LinkedIn.Sincerely, Sean Martin and TAPE3________Sean Martin is a life-long musician and the host of the Music Evolves Podcast; a career technologist, cybersecurity professional, and host of the Redefining CyberSecurity Podcast; and is also the co-host of both the Random and Unscripted Podcast and On Location Event Coverage Podcast. These shows are all part of ITSPmagazine—which he co-founded with his good friend Marco Ciappelli, to explore and discuss topics at The Intersection of Technology, Cybersecurity, and Society.™️Want to connect with Sean and Marco On Location at an event or conference near you? See where they will be next: https://www.itspmagazine.com/on-locationTo learn more about Sean, visit his personal website. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Cyber threat intelligence (CTI) is no longer just a technical stream of indicators or a feed for security operations center teams. In this episode, Ryan Patrick, Vice President at HITRUST; John Salomon, Board Member at the Cybersecurity Advisors Network (CyAN); Tod Beardsley, Vice President of Security Research at runZero; Wayne Lloyd, Federal Chief Technology Officer at RedSeal; Chip Witt, Principal Security Analyst at Radware; and Jason Kaplan, Chief Executive Officer at SixMap, each bring their perspective on why threat intelligence must become a leadership signal that shapes decisions far beyond the security team.From Risk Reduction to OpportunityRyan Patrick explains how organizations are shifting from compliance checkboxes to meaningful, risk-informed decisions that influence structure, operations, and investments. This point is reinforced by John Salomon, who describes CTI as a clear, relatable area of security that motivates chief information security officers to exchange threat information with peers — cooperation that multiplies each organization’s resources and builds a stronger industry front against emerging threats.Real Business ContextTod Beardsley outlines how CTI can directly support business and investment moves, especially when organizations evaluate mergers and acquisitions. Wayne Lloyd highlights the importance of network context, showing how enriched intelligence helps teams move from reactive cleanups to proactive management that ties directly to operational resilience and insurance negotiations.Chip Witt pushes the conversation further by describing CTI as a business signal that aligns threat trends with organizational priorities. Jason Kaplan brings home the reality that for Fortune 500 security teams, threat intelligence is a race — whoever finds the gap first, the defender or the attacker, determines who stays ahead.More Than DefenseThe discussion makes clear that the real value of CTI is not the data alone but the way it helps organizations make decisions that protect, adapt, and grow. This episode challenges listeners to see CTI as more than a defensive feed — it is a strategic advantage when used to strengthen deals, influence product direction, and build trust where it matters most.Tune in to hear how these leaders see the role of threat intelligence changing and why treating it as a leadership signal can shape competitive edge.________This story represents the results of an interactive collaboration between Human Cognition and Artificial Intelligence.Enjoy, think, share with others, and subscribe to "The Future of Cybersecurity" newsletter on LinkedIn.Sincerely, Sean Martin and TAPE3________Sean Martin is a life-long musician and the host of the Music Evolves Podcast; a career technologist, cybersecurity professional, and host of the Redefining CyberSecurity Podcast; and is also the co-host of both the Random and Unscripted Podcast and On Location Event Coverage Podcast. These shows are all part of ITSPmagazine—which he co-founded with his good friend Marco Ciappelli, to explore and discuss topics at The Intersection of Technology, Cybersecurity, and Society.™️Want to connect with Sean and Marco On Location at an event or conference near you? See where they will be next: https://www.itspmagazine.com/on-locationTo learn more about Sean, visit his personal website. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Frida Torkelsen, AI Solution Architect at Newcode.ai, and Maged Helmy, Associate Professor of AI and CEO of Newcode.ai, dive into the integration of agentic AI in the legal sector. They discuss how large firms are optimizing historical data through customized AI agents, while smaller firms leverage specific automation for a competitive edge. The conversation also highlights the importance of human oversight, ensuring cybersecurity, and the transformative impact of AI on workflow efficiency and innovation in law.

During RSAC Conference 2025, Andrew Carney, Program Manager at DARPA, and (remotely via video) Dr. Kathleen Fisher, Professor at Tufts University and Program Manager for the AI Cyber Challenge (AIxCC), guide attendees through an immersive experience called Northbridge—a fictional city designed to showcase the critical role of AI in securing infrastructure through the DARPA-led AI Cyber Challenge.Inside Northbridge: The Stakes Are RealNorthbridge simulates the future of cybersecurity, blending AI, infrastructure, and human collaboration. It’s not just a walkthrough — it’s a call to action. Through simulated attacks on water systems, healthcare networks, and cyber operations, visitors witness firsthand the tangible impacts of vulnerabilities in critical systems. Dr. Fisher emphasizes that the AI Cyber Challenge isn’t theoretical: the vulnerabilities competitors find and fix directly apply to real open-source software relied on by society today.The AI Cyber Challenge: Pairing Generative AI with Cyber ReasoningThe AI Cyber Challenge (AIxCC) invites teams from universities, small businesses, and consortiums to create cyber reasoning systems capable of autonomously identifying and fixing vulnerabilities. Leveraging leading foundation models from Anthropic, Google, Microsoft, and OpenAI, the teams operate with tight constraints—working with limited time, compute, and LLM credits—to uncover and patch vulnerabilities at scale. Remarkably, during semifinals, teams found and fixed nearly half of the synthetic vulnerabilities, and even discovered a real-world zero-day in SQLite.Building Toward DEFCON Finals and BeyondThe journey doesn’t end at RSA. As the teams prepare for the AIxCC finals at DEFCON 2025, DARPA is increasing the complexity of the challenge—and the available resources. Beyond the competition, a core goal is public benefit: all cyber reasoning systems developed through AIxCC will be open-sourced under permissive licenses, encouraging widespread adoption across industries and government sectors.From Competition to CollaborationCarney and Fisher stress that the ultimate victory isn’t in individual wins, but in strengthening cybersecurity collectively. Whether securing hospitals, water plants, or financial institutions, the future demands cooperation across public and private sectors.The Northbridge experience offers a powerful reminder: resilience in cybersecurity is built not through fear, but through innovation, collaboration, and a relentless drive to secure the systems we all depend on.___________Guest: Andrew Carney, AI Cyber Challenge Program Manager, Defense Advanced Research Projects Agency (DARPA) | https://www.linkedin.com/in/andrew-carney-945458a6/Hosts:Sean Martin, Co-Founder at ITSPmagazine | Website: https://www.seanmartin.comMarco Ciappelli, Co-Founder at ITSPmagazine | Website: https://www.marcociappelli.com______________________Episode SponsorsThreatLocker: https://itspm.ag/threatlocker-r974Akamai: https://itspm.ag/akamailbwcBlackCloak: https://itspm.ag/itspbcwebSandboxAQ: https://itspm.ag/sandboxaq-j2enArcher: https://itspm.ag/rsaarchwebDropzone AI: https://itspm.ag/dropzoneai-641ISACA: https://itspm.ag/isaca-96808ObjectFirst: https://itspm.ag/object-first-2gjlEdera: https://itspm.ag/edera-434868___________ResourcesThe DARPA AIxCC Experience at RSAC 2025 Innovation Sandbox: https://www.rsaconference.com/usa/programs/sandbox/darpaLearn more and catch more stories from RSAC Conference 2025 coverage: https://www.itspmagazine.com/rsac25___________KEYWORDSandrew carney, kathleen fisher, marco ciappelli, sean martin, darpa, aixcc, cybersecurity, rsac 2025, defcon, ai cybersecurity, event coverage, on location, conference______________________Catch all of our event coverage: https://www.itspmagazine.com/technology-and-cybersecurity-conference-coverageWant to tell your Brand Story Briefing as part of our event coverage? Learn More 👉 https://itspm.ag/evtcovbrfWant Sean and Marco to be part of your event or conference? Let Us Know 👉 https://www.itspmagazine.com/contact-us Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

⬥GUEST⬥Izar Tarandach, Sr. Principal Security Architect for a large media company | On LinkedIn: https://www.linkedin.com/in/izartarandach/⬥HOST⬥Host: Sean Martin, Co-Founder at ITSPmagazine and Host of Redefining CyberSecurity Podcast | On LinkedIn: https://www.linkedin.com/in/imsmartin/ | Website: https://www.seanmartin.com⬥EPISODE NOTES⬥In this episode of Redefining CyberSecurity, host Sean Martin sits down with Izar Tarandach, Senior Principal Security Architect at a major entertainment company, to unpack a concept gaining traction across some developer circles: vibe coding.Vibe coding, as discussed by Izar and Sean, isn’t just about AI-assisted development—it’s about coding based on a feeling or a flow, often driven by prompts to large language models (LLMs). It’s being explored in organizations from startups to large tech companies, where the appeal lies in speed and ease: describe what you want, and the machine generates the code. But this emerging approach is raising significant concerns, particularly in security circles.Izar, who co-hosts the Security Table podcast with Matt Coles and Chris Romeo, calls attention to the deeper implications of vibe coding. At the heart of his concern is the risk of ignoring past lessons. Generating code through AI may feel like progress, but without understanding what’s being written or how it fits into the broader architecture, teams risk reintroducing old vulnerabilities—at scale.One major issue: the assumption that code generated by AI is inherently good or secure. Izar challenges that notion, reminding listeners that today’s coding models function like junior developers—they may produce working code, but they’re also prone to mistakes, hallucinations, and a lack of contextual understanding. Worse yet, organizations may begin to skip traditional checks like code reviews and secure development lifecycles, assuming the machine already got it right.Sean highlights a potential opportunity—if used wisely, vibe coding could allow developers to focus more on outcomes and user needs, rather than syntax and structure. But even he acknowledges that, without collaboration and proper feedback loops, it’s more of a one-way zone than a true jam session between human and machine.Together, Sean and Izar explore whether security leaders are aware of vibe-coded systems running in their environments—and how they should respond. Their advice: assume you already have vibe-coded components in play, treat that code with the same scrutiny as anything else, and don’t trust blindly. Review it, test it, threat model it, and hold it to the same standards.Tune in to hear how this new style of development is reshaping conversations about security, responsibility, and collaboration in software engineering.⬥SPONSORS⬥LevelBlue: https://itspm.ag/attcybersecurity-3jdk3ThreatLocker: https://itspm.ag/threatlocker-r974⬥RESOURCES⬥Inspiring LinkedIn Post — https://www.linkedin.com/posts/izartarandach_sigh-vibecoding-when-will-we-be-able-activity-7308105048926879744-fNMSSecurity Table Podcast: Vibe Coding: What Could Possibly Go Wrong? — https://securitytable.buzzsprout.com/2094080/episodes/16861651-vibe-coding-what-could-possibly-go-wrongWebinar: Secure Coding = Developer Power, An ITSPmagazine Webinar with Manicode Security — https://www.crowdcast.io/c/secure-coding-equals-developer-power-how-to-convince-your-boss-to-invest-in-you-an-itspmagazine-webinar-with-manicode-security-ad147fba034a⬥ADDITIONAL INFORMATION⬥✨ More Redefining CyberSecurity Podcast: 🎧 https://www.seanmartin.com/redefining-cybersecurity-podcastRedefining CyberSecurity Podcast on YouTube:📺 https://www.youtube.com/playlist?list=PLnYu0psdcllS9aVGdiakVss9u7xgYDKYqInterested in sponsoring this show with a podcast ad placement? Learn more:👉 https://itspm.ag/podadplc Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

⬥GUEST⬥Ken Huang, Co-Chair, AI Safety Working Groups at Cloud Security Alliance | On LinkedIn: https://www.linkedin.com/in/kenhuang8/⬥HOST⬥Host: Sean Martin, Co-Founder at ITSPmagazine and Host of Redefining CyberSecurity Podcast | On LinkedIn: https://www.linkedin.com/in/imsmartin/ | Website: https://www.seanmartin.com⬥EPISODE NOTES⬥In this episode of Redefining CyberSecurity, host Sean Martin speaks with Ken Huang, Co-Chair of the Cloud Security Alliance (CSA) AI Working Group and author of several books including Generative AI Security and the upcoming Agent AI: Theory and Practice. The conversation centers on what agentic AI is, how it is being implemented, and what security, development, and business leaders need to consider as adoption grows.Agentic AI refers to systems that can autonomously plan, execute, and adapt tasks using large language models (LLMs) and integrated tools. Unlike traditional chatbots, agentic systems handle multi-step workflows, delegate tasks to specialized agents, and dynamically respond to inputs using tools like vector databases or APIs. This creates new possibilities for business automation but also introduces complex security and governance challenges.Practical Applications and Emerging Use CasesKen outlines current use cases where agentic AI is being applied: startups using agentic models to support scientific research, enterprise tools like Salesforce’s AgentForce automating workflows, and internal chatbots acting as co-workers by tapping into proprietary data. As agentic AI matures, these systems may manage travel bookings, orchestrate ticketing operations, or even assist in robotic engineering—all with minimal human intervention.Implications for Development and Security TeamsDevelopment teams adopting agentic AI frameworks—such as AutoGen or CrewAI—must recognize that most do not come with out-of-the-box security controls. Ken emphasizes the need for SDKs that add authentication, monitoring, and access controls. For IT and security operations, agentic systems challenge traditional boundaries; agents often span across cloud environments, demanding a zero-trust mindset and dynamic policy enforcement.Security leaders are urged to rethink their programs. Agentic systems must be validated for accuracy, reliability, and risk—especially when multiple agents operate together. Threat modeling and continuous risk assessment are no longer optional. Enterprises are encouraged to start small: deploy a single-agent system, understand the workflow, validate security controls, and scale as needed.The Call for Collaboration and Mindset ShiftAgentic AI isn’t just a technological shift—it requires a cultural one. Huang recommends cross-functional engagement and alignment with working groups at CSA, OWASP, and other communities to build resilient frameworks and avoid duplicated effort. Zero Trust becomes more than an architecture—it becomes a guiding principle for how agentic AI is developed, deployed, and defended.⬥SPONSORS⬥LevelBlue: https://itspm.ag/attcybersecurity-3jdk3ThreatLocker: https://itspm.ag/threatlocker-r974⬥RESOURCES⬥BOOK | Generative AI Security: https://link.springer.com/book/10.1007/978-3-031-54252-7BOOK | Agentic AI: Theories and Practices, to be published August by Springer: https://link.springer.com/book/9783031900259BOOK | The Handbook of CAIO (with a business focus): https://www.amazon.com/Handbook-Chief-AI-Officers-Revolution/dp/B0DFYNXGMRMore books at Amazon, including books published by Cambridge University Press and John Wiley, etc.: https://www.amazon.com/stores/Ken-Huang/author/B0D3J7L7GNVideo Course Mentioned During this Episode: "Generative AI for Cybersecurity" video course by EC-Council with 255 people rated averaged 5 starts: https://codered.eccouncil.org/course/generative-ai-for-cybersecurity-course?logged=falsePodcast: The 2025 OWASP Top 10 for LLMs: What’s Changed and Why It Matters | A Conversation with Sandy Dunn and Rock Lambros⬥ADDITIONAL INFORMATION⬥✨ More Redefining CyberSecurity Podcast: 🎧 https://www.seanmartin.com/redefining-cybersecurity-podcastRedefining CyberSecurity Podcast on YouTube:📺 https://www.youtube.com/playlist?list=PLnYu0psdcllS9aVGdiakVss9u7xgYDKYqInterested in sponsoring this show with a podcast ad placement? Learn more:👉 https://itspm.ag/podadplc Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.