Real research from Unit 42 and the security community — explained plainly, so your team knows what's coming.
Fast explainers on prompt injection, unsafe tool use, RAG poisoning, and compliance evidence.
Security research translated for product, platform, and risk teams without losing the important details.
A reusable article structure so the live 12-piece Unit 42 content pool can drop in cleanly later.
Six placeholder cards are live now so the hub structure, links, and publishing flow are ready before the final Unit 42 article pool lands.
Unit 42 keeps showing the same pattern: once an attacker can rewrite the model's priorities, your workflow stops behaving like your workflow. This explainer breaks down where that control flips and what a sane defense looks like.
The dangerous instruction often isn't in the chat box. It's buried in the PDF, webpage, ticket, or retrieval result your agent decides to trust.
Tool access turns a bad answer into a real-world action. We unpack how weak tool-selection rules let injected instructions trigger the wrong side effect at the wrong time.
If your model trusts retrieved context more than it should, poisoned content quietly becomes system behavior. This piece explains the control failures behind that shift.
Regulators and enterprise buyers are converging on the same expectation: if your AI system can fail in a security-relevant way, you need evidence, not claims.
A scanner can surface signals. An audit tells you whether those signals become risk, how serious they are, and what remediation should happen next.
Most teams discover critical prompt injection vulnerabilities in their first Ciphvex audit.