The AI-Cybersecurity Convergence: Expert Perspectives from Google DeepMind, Anthropic, and OpenAI
Are you prepared for the evolving threats AI could pose in the cyber landscape?
As AI technology rapidly advances, the risks and challenges it introduces to cybersecurity are growing more complex. In this pivotal discussion, Sounil Yu, Co-Founder and Chief AI Safety Officer at Knostic, leads an expert panel featuring top cybersecurity leaders: Vijay Bolina (CISO and Head of Cybersecurity Research at Google DeepMind), Jason Clinton (CISO at Anthropic), and Matt Knight (Head of Security at OpenAI).
They discussed the importance of domain expertise, carefully curated data, and nuanced permission management in developing effective AI models. Additionally, they explored the potential of Large Language Models (LLMs) to improve vulnerability discovery and exploitation, and the challenges of implementing least privilege and internal authorization in organizations. The speakers also discussed the limitations and potential of language models in tool use, acknowledging both the hope for models to perfect tool use and the potential for failure modes.
Panel Recommendations
[ ] Further develop benchmarks and evaluations for measuring AI safety thresholds for vulnerability discovery.
[ ] Incorporate AI throughout the software development lifecycle where it can enhance security.
[ ] Consider how permission models may need to differentiate between human and AI agents acting on behalf of humans.
Don’t miss this opportunity to arm yourself with the latest insights and strategies from those on the front lines of AI-driven cybersecurity. Sign up now to secure your spot and ensure your organization is ready to meet the challenges of tomorrow.
