# Aguardic > Aguardic is the runtime enforcement layer for AI governance, an AI governance platform that enforces policies across code, AI outputs, documents, agents, and messaging in real time. One engine with three evaluation layers: deterministic rules for speed, semantic AI for nuance, and custom knowledge (RAG) for organization-specific context. Supports EU AI Act, SOC 2, HIPAA, and other compliance frameworks with continuous audit evidence. Aguardic is not a monitoring dashboard or a risk assessment tool. It is an enforcement engine that evaluates every event (every pull request, every LLM response, every document upload, every agent action) against your policies and takes action: block, warn, require approval, or monitor. Evidence is generated automatically for every evaluation. ## Product Overview - [Homepage](https://www.aguardic.com): AI governance platform overview, capabilities, and how it works - [Pricing](https://www.aguardic.com/pricing): Three plans: Growth ($499/mo), Business ($1,299/mo), Enterprise (Contact Sales). AI Systems included on all plans. - [Integrations](https://www.aguardic.com/integrations): 16 integrations across version control, AI providers, storage, email, and messaging - [Marketplace](https://www.aguardic.com/marketplace): Pre-built governance policy packs for compliance frameworks, auto-updating when regulations change - [Security](https://www.aguardic.com/security): Security practices and certifications - [About](https://www.aguardic.com/about): Company background ## Platform - [Platform overview](https://www.aguardic.com/platform): Four pillars (AI systems, policies, enforcement, proof), three-layer engine (deterministic + semantic + custom knowledge), real-time enforcement across AI, code, documents, messaging, and email ## Documentation - [Docs Overview](https://www.aguardic.com/docs): Getting started with Aguardic - [Quickstart](https://www.aguardic.com/docs/quickstart): Set up your first integration and policy in minutes - [Core Concepts](https://www.aguardic.com/docs/concepts): Policies, rules, enforcement modes, evaluation layers, and governance model - [JavaScript SDK](https://www.aguardic.com/docs/sdk/javascript): TypeScript/JavaScript SDK for evaluating AI inputs and outputs - [Python SDK](https://www.aguardic.com/docs/sdk/python): Python SDK for evaluating AI inputs and outputs - [Evaluate API](https://www.aguardic.com/docs/api/evaluate): REST API for sending events for policy evaluation - [Authentication](https://www.aguardic.com/docs/api/authentication): API key authentication for SDK and API access - [Sessions API](https://www.aguardic.com/docs/api/sessions): Session-aware evaluation for multi-step agent workflows ## Integration Guides - [OpenAI](https://www.aguardic.com/docs/integrations/openai): Evaluate GPT model inputs and outputs via SDK sidecar - [Anthropic](https://www.aguardic.com/docs/integrations/anthropic): Evaluate Claude model inputs and outputs via SDK sidecar - [Gemini](https://www.aguardic.com/docs/integrations/gemini): Evaluate Google AI model inputs and outputs via SDK sidecar - [AI Agent](https://www.aguardic.com/docs/integrations/agent): Session-aware governance for autonomous agent workflows - [MCP Server](https://www.aguardic.com/docs/integrations/mcp): Model Context Protocol integration for AI tool governance - [REST API](https://www.aguardic.com/docs/integrations/api): Generic API integration for custom evaluation pipelines - [GitHub](https://www.aguardic.com/docs/integrations/github): PR review automation and code policy enforcement - [GitLab](https://www.aguardic.com/docs/integrations/gitlab): Merge request policy enforcement - [Bitbucket](https://www.aguardic.com/docs/integrations/bitbucket): Pull request governance - [Slack](https://www.aguardic.com/docs/integrations/slack): Channel monitoring and message policy enforcement - [Microsoft Teams](https://www.aguardic.com/docs/integrations/teams): Team chat governance - [Gmail](https://www.aguardic.com/docs/integrations/gmail): Email content scanning and PII detection - [Outlook](https://www.aguardic.com/docs/integrations/outlook): Microsoft 365 email governance - [Google Drive](https://www.aguardic.com/docs/integrations/google-drive): Document compliance and sharing policy enforcement - [Dropbox](https://www.aguardic.com/docs/integrations/dropbox): File scanning and sharing policies - [OneDrive](https://www.aguardic.com/docs/integrations/onedrive): Microsoft file governance ## Governance Guides - [Your First Policy](https://www.aguardic.com/docs/guides/first-policy): Create and deploy a governance policy - [Evaluation Sessions](https://www.aguardic.com/docs/guides/evaluation-sessions): Multi-step session-aware evaluation for agent workflows - [Audit Trail](https://www.aguardic.com/docs/guides/audit-trail): Complete audit evidence with timestamps, policy versions, and decisions - [AI Systems](https://www.aguardic.com/docs/guides/ai-systems): Register AI systems, classify by risk, link governance policies - [Network Policies](https://www.aguardic.com/docs/guides/network-policies): Share compliance policies across organizations for vendor governance - [Marketplace](https://www.aguardic.com/docs/guides/marketplace): Browse and deploy pre-built governance policy packs ## Competitor Comparisons - [Aguardic vs Holistic AI](https://www.aguardic.com/compare/aguardic-vs-holistic-ai): Workflow enforcement vs portfolio governance - [Aguardic vs Credo AI](https://www.aguardic.com/compare/aguardic-vs-credo-ai): Operational enforcement vs risk management - [Aguardic vs Lakera](https://www.aguardic.com/compare/aguardic-vs-lakera): Full-stack governance vs prompt injection defense - [Aguardic vs Guardrails AI](https://www.aguardic.com/compare/aguardic-vs-guardrails-ai): Policy platform vs output validation library - [Aguardic vs Vanta](https://www.aguardic.com/compare/aguardic-vs-vanta): AI-specific governance vs general compliance automation - [Aguardic vs GitGuardian](https://www.aguardic.com/compare/aguardic-vs-gitguardian): Full governance vs secrets detection ## Blog - [Policy-as-Code: Why Static Compliance Documents Don't Work](https://www.aguardic.com/blog/policy-as-code-why-static-compliance-documents-dont-work) - [HIPAA and AI: What Healthcare Companies Need to Know](https://www.aguardic.com/blog/hipaa-and-ai-what-healthcare-companies-need-to-know) - [How to Pass Enterprise AI Security Review](https://www.aguardic.com/blog/how-to-pass-enterprise-ai-security-review) - [EU AI Act 2026: What Vendors Need to Know](https://www.aguardic.com/blog/eu-ai-act-2026-what-vendors-need-to-know) - [Complete Guide to AI Governance for SaaS Companies](https://www.aguardic.com/blog/complete-guide-ai-governance-saas-companies) - [SOC 2 for AI: Controls Your Auditor Will Ask About](https://www.aguardic.com/blog/soc2-for-ai-controls-auditor-will-ask) - [What AI Agent Governance Actually Looks Like](https://www.aguardic.com/blog/what-ai-agent-governance-actually-looks-like) - [5 Policies Every AI Agent Should Follow](https://www.aguardic.com/blog/five-policies-every-ai-agent-should-follow) - [Why OPA/Rego Don't Work for AI Governance](https://www.aguardic.com/blog/why-opa-rego-dont-work-for-ai-governance) - [What LLM Guardrails Don't Cover](https://www.aguardic.com/blog/what-llm-guardrails-dont-cover-ai-governance) - [Network Policies: Enforce Compliance Across AI Vendors](https://www.aguardic.com/blog/network-policies-enforce-compliance-across-ai-vendors) - [NIST AI Agent Standards Initiative 2026](https://www.aguardic.com/blog/nist-ai-agent-standards-initiative-2026) - [Compliance Policies as Software](https://www.aguardic.com/blog/compliance-policies-as-software) - [Microsoft AI Compliance Engine: Governance Lessons](https://www.aguardic.com/blog/microsoft-ai-compliance-engine-governance-lessons) - [HIMSS26: AI Governance and Patient Safety](https://www.aguardic.com/blog/himss26-ai-governance-patient-safety) - [Microsoft and Palo Alto Agent Security Governance Gaps](https://www.aguardic.com/blog/microsoft-paloalto-agent-security-governance-gaps) - [AIUC-1: SOC 2 for AI Agents](https://www.aguardic.com/blog/aiuc1-soc2-for-ai-agents) - [McKinsey Lilli Breach: Writable Prompts](https://www.aguardic.com/blog/mckinsey-lilli-breach-writable-prompts) ## Optional - [Changelog](https://www.aguardic.com/changelog): Product updates and release notes - [Careers](https://www.aguardic.com/careers): Open positions - [Privacy Policy](https://www.aguardic.com/privacy-policy): Data privacy practices - [Terms of Service](https://www.aguardic.com/terms-of-service): Service terms - [Status](https://www.aguardic.com/status): Service status page