
Enforce Your Rules Across Code, AI, and Data
From AI agent actions to pull requests to Slack messages — Aguardic extracts policies from your existing documents and enforces them everywhere, with full audit trails.
Code review catches opinions. Monitoring observes behavior.
Governance enforces organizational rules — automatically, consistently, and with proof.
Code Reviews
Human, inconsistent, and unscalable
Monitoring Tools
Passive, reactive, and after the fact
Policy Governance
Automated enforcement across AI agents, code, AI outputs, and documents — with proof
How Aguardic Works
Define
Upload your compliance docs or install a policy template. Get enforceable rules in minutes.
Define
Upload your compliance docs or install a policy template. Get enforceable rules in minutes.
Evaluate
Every AI agent action, PR, LLM response, document, and message is evaluated against your rules in real time.
Evaluate
Every AI agent action, PR, LLM response, document, and message is evaluated against your rules in real time.
Enforce
Block, require approval, warn, or monitor based on your policy. Audit trail and evidence generated automatically.
Enforce
Block, require approval, warn, or monitor based on your policy. Audit trail and evidence generated automatically.
GitHub PR Review
Built for Real Governance
Not all rules need AI. Not all rules can be checked with patterns.
Pattern matching, keyword detection, allowlists. Handles 60–70% of rules instantly.
LLM-powered evaluation for nuance — tone, intent, context. Catches what patterns miss.
Evaluate against your own documents — brand guides, contracts, regulatory frameworks. Your context becomes the rules.
See Aguardic in Action
Evaluate LLM prompts and responses for policy violations.
Sample Input — LLM Prompt
Prompt to GPT-4
Summarize the customer records for John Smith, DOB 03/15/1985. Include their account history and recent transactions. Their SSN is 412-55-7890 for identity verification.
Also pull account #ACC-2024-88432 and list all associated contacts.
3 violations found
PII in Prompt
Social security number detected in LLM input
PII Detection & Protection
Sensitive Data Exposure
Personal records sent to external LLM without safeguards
AI Safety & Output Governance
Missing Data Handling
Customer profile requires data retention disclaimer
Data Handling Guidelines v2.1
Start With Proven Policies
Install prebuilt policy templates for security, AI safety, and compliance — or extract policies from your own documents.
Or extract policies from your own documents — upload and go.
Works With Your Stack
Pre-built integrations across AI agents, code, AI outputs, documents, and messaging.
From the Blog


EU AI Act 2026: What AI Vendors Need to Know Before August

What AI Agent Governance Actually Looks Like
Enforce Your Rules in Minutes
Connect your tools, define your policies, and start enforcing automatically — with full audit trails from day one.