Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI-powered adversaries are accelerating vulnerability discovery and automating attacks. For security teams, the challenge is adaptive attack chains, machine-speed execution, and attack volumes beyond manual workflows. Cato is redefining prevention in the AI era—predicting enterprise-specific attack paths, adapting protections at machine speed, and scaling defense with cloud-native scale. This means enterprises can do more than just react to attacks, they can prevent them.

The rise of AI agents is transforming the enterprise — and redefining insider risk. As organizations deploy AI agents alongside human employees, understanding behavior has become essential to detecting threats that traditional security approaches miss. Exabeam secures both human and AI agents with Behavior Intelligence, combining behavioral analytics and agent-powered security operations to reduce risk, accelerate threat detection, investigation, and response, and help organizations confidently secure the agentic enterprise.

Attackers are using AI to move faster, scale broader, and automate attacks at machine speed, but no one wants fully autonomous AI making high-stakes decisions unchecked. There's a better way: Super Instinct meets Super AI. Meet the Aurora Agentic SOC, the world's largest commercial agentic SOC, built on the Aurora Superintelligence Platform. The completely new operating model pairs human instinct with AI-powered security operations to outperform human-only and AI-only approaches alike.

AI didn't just speed up software development, it changed what application security programs must defend. As AI coding assistants generate code at machine speed and developers integrate AI agents, models, and RAG pipelines into production, traditional scanners generate endless backlogs of unprioritized alerts.

This week on the podcast, we review HuggingFace's technical write up of their recent run in with a rogue OpenAI model, as well as their CEO's demands from OpenAI in response. We then cover an interesting research whitepaper that describes a side channel attack that could let AI transcribe typed text by an audio recording alone. We end with a threat intelligence report about DNS Poisoning attacks against hotel Wi-Fi systems.

Tanium Atlas MCP Server brings governed, real-time endpoint data and actions into Claude, Microsoft Security Copilot, Copilot Studio, and other MCP-compatible AI clients. Security and IT teams can investigate and remediate without leaving their AI workflows — RBAC-aware, tool discovery scoped to user permissions, and built for enterprise governance.#AutonomousIT.