“guardrails”

Python framework with input and output guards that detect LLM risks, plus structured output generation

Open-source Python library for adding programmable guardrails to LLM-based conversational applications

Guards AI models, apps and agents against prompt injection, data leakage and harmful outputs.

Configurable safeguards for generative AI apps that filter harmful content, redact PII and detect hallucinations.

Meta's open safeguard models that moderate LLM prompts and responses, including Llama Guard 4.

Guardrails, evaluation and pre-production red teaming for AI agents, RAG apps and chatbots.

Guardrails, red teaming and risk management platform for securing AI applications and agents.

Open-source agent harness engineering platform with OpenTelemetry tracing, evals and guardrails

Unified platform to test, protect and govern AI, covering red teaming, runtime guardrails and AI asset discovery.

Platform to discover, protect and govern AI agents and AI interactions, with runtime enforcement

AI observability and eval engineering platform where offline evals become production guardrails

IBM model family that judges whether LLM inputs and outputs meet criteria such as jailbreak, harm and hallucination checks.

Meta's open classifier models that detect prompt injection and jailbreak attacks on LLM inputs.

AI quality platform for developers that builds evaluators, guardrails and monitoring for LLM applications

Finds AI assets and risks, red teams models and agents, and blocks threats to AI apps in real time.

Discovers, tests, secures and governs every AI agent in an organization from one platform.

Discovers AI agents, MCP servers and skills, tests them adversarially and blocks attacks at runtime.

Google Cloud service that screens LLM prompts and responses for prompt injection, sensitive data and harmful content.

Monitor the performance, usage, cost and guardrails of LLM and agentic AI apps in Elastic Observability

Framework that detects and mitigates AI-centric security risks in agents and LLM applications.

AI security platform covering discovery, assessment, runtime protection and governance of AI apps and agents

Enterprise agent security and governance platform covering agent discovery, guardrails, evals and traces

Security platform for AI covering asset discovery, supply chain checks, attack simulation and runtime defense.

Agent security and governance platform that controls agent behavior at runtime across endpoint, SaaS and cloud.