Generative AI is poised to revolutionize vulnerability discovery in critical infrastructure, but will it actually fix the problem, or just shift the burden?
The recent AI Cybersecurity Challenge (AIxCC), a two-year competition sponsored by the US Defense Advanced Research Projects Agency (DARPA) and Advanced Research Projects Agency for Health (ARPA-H), crowned winners whose AI systems autonomously discovered and patched zero-day flaws in real-world code.
Now, with models potentially going open-source, the implications for defenders, attackers and policymakers are seismic.
In this episode, we sat down with Taesoo Kim, the leader of Team Atlanta, the AIxCC winning team, and Andrew Carney, program manager for the AIxCC at DARPA and ARPA-H.
In the interview (13.56), they discuss why the commercialization of GenAI-powered vulnerability scanning tools could be just around the corner and how "self-healing infrastructure" might soon become a reality.
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Generative AI is poised to revolutionize vulnerability discovery in critical infrastructure, but will it actually fix the problem, or just shift the burden?
The recent AI Cybersecurity Challenge (AIxCC), a two-year competition sponsored by the US Defense Advanced Research Projects Agency (DARPA) and Advanced Research Projects Agency for Health (ARPA-H), crowned winners whose AI systems autonomously discovered and patched zero-day flaws in real-world code.
Now, with models potentially going open-source, the implications for defenders, attackers and policymakers are seismic.
In this episode, we sat down with Taesoo Kim, the leader of Team Atlanta, the AIxCC winning team, and Andrew Carney, program manager for the AIxCC at DARPA and ARPA-H.
In the interview (13.56), they discuss why the commercialization of GenAI-powered vulnerability scanning tools could be just around the corner and how "self-healing infrastructure" might soon become a reality.
AI Safety for Cybersecurity Professionals: Understanding the Risks and Implications
Infosecurity Magazine Podcast
48 minutes 40 seconds
1 year ago
AI Safety for Cybersecurity Professionals: Understanding the Risks and Implications
In November the UK hosted its first ever AI Safety Summit, less than one year after OpenAI released ChatGPT, its revolutionary generative AI-powered chatbot.
In this episode, we delve into the rapidly evolving world of artificial intelligence, exploring the implications of recent developments and announcements from governments, tech companies, and industry bodies around the globe.
Join us as we dissect the key takeaways from the AI Safety Summit and examine how these advancements impact the cybersecurity landscape. Whether you're a cybersecurity professional or simply curious about the future of AI, this episode provides valuable insights into the intersection of AI and cybersecurity.
You’ll hear from:
- Matt Roach, Head of i-4 Cyber Security Leaders Community, KPMG UK (11.45)
- Rob van der Veer, Senior Director, Software Improvement Group (SIG) & Founder, OWASP AI Exchange (30.01)
Infosecurity Magazine Podcast
Generative AI is poised to revolutionize vulnerability discovery in critical infrastructure, but will it actually fix the problem, or just shift the burden?
The recent AI Cybersecurity Challenge (AIxCC), a two-year competition sponsored by the US Defense Advanced Research Projects Agency (DARPA) and Advanced Research Projects Agency for Health (ARPA-H), crowned winners whose AI systems autonomously discovered and patched zero-day flaws in real-world code.
Now, with models potentially going open-source, the implications for defenders, attackers and policymakers are seismic.
In this episode, we sat down with Taesoo Kim, the leader of Team Atlanta, the AIxCC winning team, and Andrew Carney, program manager for the AIxCC at DARPA and ARPA-H.
In the interview (13.56), they discuss why the commercialization of GenAI-powered vulnerability scanning tools could be just around the corner and how "self-healing infrastructure" might soon become a reality.
