Llm security

Time to become a hacker // Matt Sharp

Time to become a hacker // Matt Sharp

In this talk, Matt Sharp explains that while 2025 is the year of AI agents, it's also the year of cybercrime. The rush to create frictionless, user-friendly agents has led to a neglect of fundamental security principles, creating a perfect environment for hackers who are now using these same powerful AI tools to innovate and scale their attacks.

Cybersecurity Trends in 2026: Shadow AI, Quantum & Deepfakes

Cybersecurity Trends in 2026: Shadow AI, Quantum & Deepfakes

Explore Jeff Crume's cybersecurity predictions for 2026 and beyond, detailing the dual impact of AI in security, the rise of autonomous AI agents, the futility of deepfake detection, and the critical importance of post-quantum cryptography and passkeys for future defense.

AI Agents for Cybersecurity: Enhancing Automation & Threat Detection

AI Agents for Cybersecurity: Enhancing Automation & Threat Detection

An exploration of how LLM-powered AI agents are transforming cybersecurity by moving beyond traditional static rules to provide dynamic, adaptive security operations. The summary covers key applications in threat detection and incident response, while also addressing critical risks like hallucinations and adversarial manipulation, emphasizing a "human-in-the-loop" approach.

Arvind Jain on building Glean and the future of enterprise AI

Arvind Jain on building Glean and the future of enterprise AI

Arvind Jain, CEO of Glean, details the company's journey from a pre-LLM enterprise search innovator to a leading AI agent platform. He covers their hybrid model strategy, the critical role of permission-aware RAG for security, and how AI agents are creating 'evergreen' documentation and reshaping enterprise workflows.