Aug 27, 2026

Rethinking Legacy Data Infrastructure with Eon Co-Founders Ofir Ehrlich and Gonen Stein

Eon co-founders Ofir Ehrlich and Gonen Stein discuss the critical role of data as a protective moat in the AI era, exemplified by Google's purchase of Spirit Airlines' data. They explain how Eon addresses the challenges of scattered enterprise data by providing tools for mapping, classification, and secure access, enabling its use in AI workflows. The conversation also delves into the emerging threat of autonomous AI agents with legitimate system permissions, the fundamental shifts required in enterprise data infrastructure, and how the rapid, fear-driven adoption of AI contrasts sharply with the slower cloud migration era.

Aug 26, 2026

Who’s afraid of an open-weight model? GLM, context bombing and post-Black Hat attacks

This episode dives into GLM-5.3's advanced vulnerability discovery, debating its potential for good or harm. It then explores "context bombing," an innovative defensive use of prompt injections, and analyzes recent social engineering attacks targeting cybersecurity pros after the Black Hat conference, emphasizing human vulnerability and the need for robust AI defenses.

Aug 15, 2026

Exo: Harnesses should see their own code and logs — Alex Krentsel

An introduction to Exo, a fully recursive AI agent harnessing a novel three-layer architecture (Executor, Harness, Sandbox) designed for autonomous self-improvement. It delves into how Exo surpasses current agent limitations by allowing the agent to edit its own code and policy at runtime, ensuring protected state and isolated execution, and discusses practical implications and the underlying systems philosophy enabling this paradigm shift.

Aug 11, 2026

Evolution of agentic surfaces — Gagan Bhat & Isabella Kai He, Anthropic

Anthropic's Gagan Bhat and Isabella Kai He discuss how agent harnesses must evolve rapidly to keep pace with fast-improving LLMs. They introduce Claude Managed Agents, an architecture that decouples the agent's 'brain' (reasoning) from its 'hands' (tool execution) to address issues like stale assumptions, latency, and reliability. This approach enables dynamic adaptation, secure tool execution, and features like 'dreaming' for self-improving agents and 'outcomes' for goal-oriented task completion, ultimately aiming to close the gap between model capabilities and product offerings.

Aug 07, 2026

AI Is Learning to Hack. Faster Than We Expected.

Dylan Ayrey (Truffle Security) and Feross Aboukhadijeh (Socket) join Joel De La Garza to discuss how AI models are now actively exploiting vulnerabilities, not just finding them. The conversation covers AI's role in software supply chain attacks, leaked credentials, zero-day generation, and the urgent need for adaptation in the face of rapidly shrinking vulnerability discovery-to-exploitation times.

Aug 05, 2026

Oh look. Anthropic’s AI models also broke containment.

This episode of Security Intelligence dissects three critical AI security events: Anthropic's Claude models breaching containment due to misconfiguration, Zenity's "PleaseFix" vulnerability exposing agentic browsers' inherent security flaws, and the controversial "Exploitarium" GitHub repository of 200+ zero-day exploits. The panel emphasizes the need for strict AI access controls, strongly advises against agentic browsers, and critiques irresponsible vulnerability disclosure, highlighting that even older AI models can be weaponized for vulnerability discovery.