Feb 21, 2026

MCP Security: The Exploit Playbook (And How to Stop Them)

Vitor, co-founder of Runlayer and former tech lead for Zapier Agents, provides a deep dive into the security vulnerabilities of the rapidly adopted MCP standard for AI agents. He outlines the primary attack vectors, including sophisticated prompt injections, supply chain attacks like 'rug-pulls', and tool schema manipulation, using real-world exploits as examples. The talk concludes with a multi-layered defensive strategy for users, developers, and enterprises to secure their AI agent deployments.

Feb 20, 2026

India's USD $200B AI hub & Claude builds C compiler

Experts from IBM discuss Google's $200B AI investment in India, Claude's autonomous C compiler creation, the significant security risks in AI agent skills, and the looming AI ROI problem facing IT leaders, debating the shift from per-token to value-based pricing.

Feb 19, 2026

Beyond the Gold Standard: Evaluating and Trusting Agents in the Wild // Sanjana Sharma

A deep dive into the challenges of deploying AI agents in production, arguing that reliability stems not from model intelligence but from a "system-first" approach. The talk introduces a new architecture that separates the LLM's reasoning from a versioned, auditable "Context Layer" containing business logic and expert knowledge, which is continuously updated through a "Living Ground Truth" loop driven by expert feedback.

Feb 19, 2026

Guide to Architect Secure AI Agents: Best Practices for Safety

AI agents offer immense power but come with significant security risks. This guide outlines a comprehensive architecture for securing AI agents using DevSecOps, robust access controls, threat monitoring, and a principle-of-least-privilege approach to mitigate dangers like prompt injection and data leaks.

Feb 18, 2026

Simple AI Upsells 30% Better Than Trained Reps

Founders of Simple AI, Catheryn Li & Zach Kamran, discuss their journey from building consumer apps to creating an AI sales agent that handles inbound calls for major brands. They cover their pivot, the technical challenges of integrating with legacy systems, and how their AI outperforms human reps by leveraging hyper-personalization and rapid A/B testing.

Feb 17, 2026

Boris Cherny: How We Built Claude Code

Boris Cherny, creator of Claude Code, shares the development philosophy behind the AI coding tool, emphasizing building for future models, leveraging latent user demand, and the surprising longevity of the terminal interface.