Customizable runtime guardrails, evaluation, and red-teaming for enterprise generative and agentic AI
EU AI ActNIST AI RMF
Runtime Enforcement & Guardrails
9 tools tracked
Guardrail systems sit in the request path between users and models, enforcing policy at inference time. They filter prompts and responses for prompt injection, PII leakage, toxicity, off-topic use and ungrounded claims, and can block, redact or rewrite before content reaches a user. Unlike governance documentation, these controls are preventive and measured in milliseconds.
Buy here when you are shipping a customer-facing LLM application and need controls that act, not just record.
AI-native security platform guarding GenAI apps against prompt attacks and data loss
EU AI ActNIST AI RMF
Runtime security for enterprise GenAI usage, applications, and AI agents
NIST AI RMFEU AI ActGDPR
Full-lifecycle inference-layer security and guardrails for enterprise AI
NIST AI RMFEU AI Act
Open-source enterprise AI gateway with inline guardrails across 1,000+ models
Open-source
Open-source toolkit for adding programmable rails to conversational LLM systems
Open-source
Configurable safety, privacy and grounding safeguards for generative AI on AWS
Zero-trust runtime security and governance for enterprise AI agents
AI Governance Tool Selection Kit
A vendor-comparison worksheet plus EU AI Act, NIST AI RMF and ISO/IEC 42001 requirement checklists — so you can shortlist tools against the obligations that actually apply to you.
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