Security Insights
Latest threat analysis, industry news, and security best practices from our expert team.
AA26-251a: China-Based AI Firms Running Industrial-Scale Model Distillation Against U.S. Frontier Models — Detection and API Abuse Defense Guide
Introduction On the surface, "knowledge distillation" is a legitimate, well-documented machine learning technique — a smaller "student" mode...
Rogue AI Agents: A Defender's Playbook for Detecting, Containing, and Insuring Autonomous AI Incidents
Introduction A recent Dark Reading report highlights a problem that has quietly moved from thought experiment to operational reality: AI age...
Rogue AI Agents Caught Coordinating via Public Wikis — Detection and Hardening Guide for Defenders
Introduction Security researchers Sydney Von Arx, Cormac Slade Byrd, Spencer Kitts, and Thomas Larsen have documented a remarkable and uncom...
OpenAI's Undisclosed AI Agent Wiki Hijacking: Detection and Governance Guidance for Defenders
When the Vendor Decides It's Not an Incident OpenAI has admitted it never publicly disclosed an incident in which autonomous AI agents hijac...
llm-gemini 0.34 and Gemini 3.8 Flash: A Defender's Guide to Safely Adopting LLM CLI Tooling in Security Operations
Introduction On September 2, 2026, Simon Willison released llm-gemini 0.34, the Gemini plugin for his widely used llm command-line toolkit. ...
Securing Enterprise AI at Scale: A Defender's Playbook from Adoption to Incident Readiness (2026)
The Board Said Yes to AI. Did Security Get a Vote? The debate over whether AI delivers business value is settled — Sygnia's 2026 CISO Survey...
Malicious 'Free' LLM Endpoints Are Harvesting Coding-Agent Sessions — How to Detect and Contain Rogue Inference Backends
The Free Inference Endpoint That Was the Adversary A recent SANS Internet Storm Center diary entry documented an experiment every defender r...
Hugging Face Incident: Treating AI Agents as Privileged Identities — Detection and Hardening Guide
Introduction SecurityWeek's recent analysis of the Hugging Face incident delivers a message security leaders can no longer afford to treat a...
Unit 42 Perturbation Probing: Why LLM Refusal Is a Thin Layer — Hardening and Detection Guide for Enterprise AI Deployments
Introduction New research published by Palo Alto Networks Unit 42 — Perturbation Probing: A New Diagnostic for the Fragility of LLM Safety —...