Jeff Crume examines Jev, a new AI approach that makes structured decisions rather than generating text, through a cybersecurity lens. He argues that confidence scores are not evidence, that AI decisions expand the attack surface, and that observability, decomposed reasoning, independent controls, and human oversight are needed before trusting them.
a16z's Raghu Raghuram interviews AWS CEO Matt Garman about how AI is reshaping cloud infrastructure: why startups remain central to AWS, how cloud primitives like databases, permissions, and sandboxes must be rethought for agents, how GPU capacity is allocated amid $220B in capex, and how Graviton and Trainium fit into the AI stack. The discussion also covers enterprise barriers to autonomous agents, data privacy with Bedrock, and AWS's own internal use of agents.
Kevin Mandia, founder of Mandiant and CEO of Armadin, discusses how AI is revolutionizing cybersecurity. He explains that machine-speed attacks necessitate autonomous defenses, detailing Armadin's approach of continuous AI-driven red teaming to find zero-days and build real-time defense mechanisms. The conversation also explores the transformation of the SOC, the demise of traditional pentesting, and the challenges of building a company at AI speed.
Jeff Crume explains how AI agents, RAG pipelines, prompts, tools, and models move sensitive data through modern AI systems, and why traditional DLP falls short. He outlines a unified approach built on data lineage, workload and workforce visibility, proactive risk identification, and compliance reporting.
This podcast explores the friction between frontier AI labs and cybersecurity experts, who disagree on AI safety priorities (alignment vs. traditional controls). It discusses the dual risks of open-weight AI models enabling sophisticated hacks like the TikTok camera exploit, and the challenges of CISA's call for transparent breach disclosures amidst corporate self-interest and the complexities of global AI regulation.
Grant Miller explains the paradox of "super agents" in AI systems – their immense power comes with significant risks. He details concerns like privilege abuse and expanded attack surfaces, contrasting them with the benefits of unified organizational intelligence and workflow coordination. The solution proposed is an architecture of "agent swarms," guided by principles of least agency, isolation, observability, and human oversight, to build secure and scalable agentic systems.