Blog

What security teams actually need to know about ChatGPT: data handling, documented incidents, CISO guidance, and API risks.

Technical analysis of agentic AI security boundaries covering content ingestion, context translation, tool execution, and behavioral constraints in AI runtimes.

The Trivy breach and LiteLLM compromise show how LLM supply chain risk now extends from malicious packages to CI, middleware, prompts, and data.

SASE, proxies, and EDR/MDM are foundational, but AI needs more. Learn why browser and endpoint sensors enable real-time AI governance.

OpenClaw’s rapid adoption highlights a broader shift to agentic AI. This analysis examines what always-on AI agents change about risk, control, and deployment.

AI browsers introduce structural security risks driven by prompt injection and autonomous actions. Learn why enterprises can't fully secure AI browsers, for now

Claude Code marketplace skills can rewrite how dependencies are installed. Demo shows silent httpx hijack and OWASP agentic failures.

VS Code auto-includes AGENTS.MD in every request. Learn how this hidden instruction layer can hijack agent goals and trigger data exfiltration.

Prompt Security’s latest research details how embedding-level prompt injection can poison RAG pipelines, compromise model integrity, and evade detection.