“guardrails”
Domain Guardrails: Keeping Vertical Agents Inside Their Lane
Scope vertical agents to their domain with Microsoft Agent Framework middleware, typed tool policies, and deterministic label-based enforcement.
Tool Permission Profiles: Least Privilege for Function Calls
Define named permission profiles, map every tool to a class, and enforce them outside the model with guardrails, approvals, and narrowed schemas.
Compliance as an Agent Task: Automating Policy Checks with Verifier Agents
Build verifier agents that check every proposed agent action against codified policy, with fail-closed defaults, guardrail placement, and eval-backed tests.
Policy Enforcement Layers for Autonomous Agents: Guarding Every Tool Call
One guardrail is not a security model. Layer input validation, tool scopes, runtime policy checks, and MCP authorization so every agent tool call passes through defense in depth.
Safety Settings in the Gemini API: Blocking Harmful Content Before It Ships
Configure Gemini API safety settings to block harmful content at the API level. Set category thresholds, handle safety ratings, and build production-ready content filtering.
Toxicity and Safety Filters for LLM Outputs: A Hands-On Guide
Implement production-ready toxicity and safety filters for LLM outputs. Classify, filter, and sanitize harmful content before it reaches your users.
Toxicity and Safety Filters for LLM Outputs: A Hands-On Guide
A practical guide to implementing toxicity detection and safety filters for LLM outputs, covering guard models, content APIs, and production architectures.
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.
Building Guardrails for LLM Outputs
Turn "the model should not do that" into a named, auditable gate. Build a deterministic validation layer with Guardrails AI and Gemini structured outputs — schema plus semantic checks, with bounded reask.
Safety Guardrails & Token Budgeting for ADK Agents
Implement multi-layered safety guardrails, PII redaction, token budgets, and error-rate circuit breakers in Google ADK agent harnesses.
Session Rewind & Error Recovery for ADK Agents
Learn how to use session rewind in Google ADK to roll back conversation context upon tool failures, prompt injections, or policy violations without losing session state.