Redefining CyberSecurity

De: Sean Martin ITSPmagazine
  • Resumen

  • Redefining CyberSecurity Podcast Hosted by Sean Martin, CISSP Have you ever thought that we are selling cybersecurity insincerely, buying it indiscriminately, and deploying it ineffectively? For cybersecurity to be genuinely effective, we must make it consumable and usable. We must also bring transparency and honesty to the conversations surrounding the methods, services, and technologies upon which businesses rely. If we are going to protect what matters and bring value to our companies, our communities, and our society, in a secure and safe way, we must begin by operationalizing security. Executives are recognizing the importance of their investments in information security and the value it can have on business growth, brand value, partner trust, and customer loyalty. Together with executives, lines of business owners, and practitioners, we are Redefining CyberSecurity.
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Episodios
  • Inside the DARPA AI Cyber Challenge: Securing Tomorrow’s Critical Infrastructure Through AI and Healthy Competition | An RSAC Conference 2025 Conversation with Andrew Carney | On Location Coverage with Sean Martin and Marco Ciappelli
    Apr 28 2025
    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
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    28 m
  • Vibe Coding: Creativity Meets Risk in the Age of AI-Driven Development | A Conversation with Izar Tarandach | Redefining CyberSecurity with Sean Martin
    Apr 17 2025
    ⬥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
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    36 m
  • Building and Securing Intelligent Workflows: Why Your AI Strategy Needs Agentic AI Threat Modeling and a Zero Trust Mindset | A Conversation with Ken Huang | Redefining CyberSecurity with Sean Martin
    Mar 25 2025
    ⬥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
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    43 m
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