Glossary › Prompt Injection

Prompt Injection

Content the model reads (a web page, an email, a document, a tool result) that contains instructions the model then follows. Structurally unsolved because the model sees instructions and content as one sequence. Contained, not prevented, by limiting what the agent can do.

← Prompt Caching · Reasoning Model → · All terms

Where Prompt Injection shows up

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AI Security for Agents: Prompt Injection, Excessive Agency, and Sandboxing

Prompt injection is structurally unsolved, and agents turned it from an embarrassment into a breach. Learn the OWASP agentic risk categories, why detection fails, and the containment architecture that works: least-privilege tools, approval gates, sandboxes, provenance, and a red-team practice you run against your own harness.

#ai-security#prompt-injection#agent-engineering#guardrails#agents

Agent Evals and AI Security

How do you know an agent works, and how do you keep it from being turned against you? Trajectory grading, task suites built from failures, validated judges, CI regression gates, and the containment architecture for prompt injection: least privilege, approval gates, sandboxes, and a red-team practice you run yourself.

#agent-evals#ai-security#prompt-injection#agent-engineering#evaluation#agents

Prompt Injection: Why It's Unsolved and How to Contain It

Prompt injection is content the model reads that redirects what it does, and no filter catches it reliably. Here is the mechanism, a taxonomy of attacks with real-shaped examples, why detection fails, and the containment architecture that makes a successful injection boring instead of a breach.

#prompt-injection#ai-security#agent-engineering#agents