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.
All content for Infosecurity Magazine Podcast is the property of Infosecurity Magazine and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
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.
In this Infosecurity podcast episode, the team dive into the details of Donald Trump's June 2025 Cybersecurity Executive Order (EO).
This EO revises previous orders from both Barack Obama and Joe Biden, while also removing a host of requirements from Biden's January 2025 EO.
From software supply chains and quantum computing to the research and testing of AI for cyber defense, this new order covers a wide array of critical cybersecurity topics.
To unpack the details of the latest EO We sit down with Nick Reese, the co-founder and COO of Frontier Foundry, a Professor at New York University and a member of the Homeland Security Advisory Board at the George Washington University.
Reese brings invaluable experience from his time as Director for Emerging Technology Policy at the US Department of Homeland Security (2019-2023).
In our discussion, we break down the intricate details of the executive order, helping us understand its provisions and the nuances of the changes it introduces to the cybersecurity landscape.
Sing up to receive Infosecurity Magazine's weekly newsletter here.
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.
