Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

This episode looks at what happens when AI starts finding vulnerabilities at scale, restricted access creates market imbalance, and security teams struggle to keep pace. It covers fragile infrastructure, bug brokers, overloaded analysts, CISO fear, and the growing sense that cyber defence is entering a faster and harsher era.

The conversation explores why the Internet and the cloud were not designed for an AI-agent world, and what infrastructure needs to change as software agents begin generating code, running workflows, and interacting directly with online services. Ming and Anni walk through several announcements from Cloudflare’s Agents Week, including new tools for agent infrastructure, memory, developer workflows, AI Gateway, email, artifacts, browser automation, security, and agent-ready websites.

The idea that AI agents will run security operations is becoming reality. But most platforms ignore the most important question: how do you secure the agents themselves? In this video I walk through why LimaCharlie is the most secure platform for running agentic security operations and demonstrate the architectural controls that make it possible. We look at the core mechanisms that allow AI agents to operate safely inside a SecOps environment, including.

In this week's Intel Chat, Chris Luft and Matt Bromiley discuss a design flaw in Anthropic's Model Context Protocol (MCP) that could enable large-scale supply chain attacks on agentic AI systems. Researchers at OX Security found that MCP's command execution allows malicious commands to run silently without sanitization checks or warnings.

Why AI security needs more than one tool Most teams believe a single cybersecurity tool—like WAF, EDR, or API security—is enough to protect their AI systems. But that approach is outdated. AI security is not one layer—it’s a full stack problem. Discovery – Identify Shadow AI and unknown AI usage Build-Time Security – Prevent data poisoning & model risks (MLSecOps) Runtime Security – Stop real-time AI attacks and agent misuse Governance (AISPM) – Ensure visibility, compliance, and policy control.