“prompt-injection”
Sanitizing Agent Inputs: Prompt Validation Before Inference
Protect PydanticAI agents against prompt injection, jailbreaks, and malformed inputs using typed input contracts and pre-inference sanitization filters.
Prompt Injection Defense for Tools: Context Separation and Tainting
Defend against prompt injection in agent tools using context separation and data tainting. Prevent tool outputs from hijacking agent reasoning.
Prompt Injection Defense for Autonomous Agents: Classifiers and Sanitizers
Protect autonomous agents from prompt injection attacks using input classifiers, output sanitizers, and layered defense strategies for production systems.
Guardrails for Agent Input and Output: From Validation to Policy
Screen input, validate output, and police tool calls with guardrails. Learn input, output, and tool guardrails in the OpenAI Agents SDK—and the cost of parallel vs blocking execution.
Secure AI Development: Secrets Management and Prompt Injection Defense
Instructions and data share the same token stream. Build the defensive stack for AI apps: env-based secrets, system-instruction hygiene, provider safety filters, output validation, and least-privilege tooling.
AI Security for Devs: How to Prevent Prompt Injection in Your Applications
Learn what prompt injection is, why it's a critical security vulnerability for LLM applications, and practical techniques developers can use to defend against it.