Dr. Ilia Shumailov, former DeepMind AI Security Researcher, explains why traditional security fails for AI agents. He details the unique threat model of agents, the dangers of supply chain attacks and architectural backdoors, and proposes a system-level solution called CAML to enforce security policies by design, separating model reasoning from data execution.
Alex Rampell of a16z explains how software is evolving from digitizing records to performing labor, shifting the industry's focus from the $300 billion SaaS market to the $13 trillion labor market. This transition, accelerated by AI, is forcing a change in business models from seat-based pricing to outcome-based pricing, creating new opportunities and expanding the total addressable market.
A deep dive into the latest AI model releases, including IBM's hyper-efficient Granite 4.0, Anthropic's code-focused Claude 4.5, and OpenAI's consumer-centric Sora 2. The discussion covers the strategic differentiation between major AI labs, the future of open-source, the rise of AI e-commerce agents, and the emerging cybersecurity challenges of social engineering AI.
Experts from Anthropic discuss the evolution of the Claude Developer Platform, the philosophy of "unhobbling" models with tools rather than restrictive scaffolding, and the future of building sophisticated, autonomous AI agents with features like the Claude Agent SDK, advanced context management, and persistent memory.
Nick Coult from AWS explains that the future of serverless is not a replacement but an essential foundation for the rise of AI agents. This talk explores the core benefits of serverless, its synergy with event-driven architectures, and how agentic AI and agentic workflows will rely on serverless principles to scale and operate effectively.
A discussion on novel methods for hijacking AI agents through social engineering, the evolution of DDoS attacks, the legacy of Zero Trust, and the glaring security flaws in AI training data apps.