Use Cases

Prove Compliance Across Every Surface

See how teams use Aguardic to prove compliance across code, AI, agents, documents, and communications — while enforcing policies in real time.

Define Policies

Evaluate Events

Enforce Outcomes

Retain Evidence

Every use case below uses the same governance engine. The difference is where governance is applied.

AI Agents & Autonomous Systems

Govern what your AI agents can do before they act

Evaluate every tool call, workflow step, and autonomous decision against your safety and compliance policies — blocking unsafe actions, enforcing boundaries, and recording audit-ready evidence.

Common rules enforced

•Block agents from executing destructive operations
•Require approval for actions exceeding cost thresholds
•Flag tool calls accessing sensitive customer data

Integrations: OpenAI, Anthropic, Google Gemini, Agent, MCP

Best for: AI platform teams, ML engineers, and CISOs

Explore Agent Governance

AI Systems

Maintain a complete inventory of every AI-powered application — from internal models to third-party APIs. Classify risk levels, link governance policies, and generate inventory reports for EU AI Act compliance and internal audits.

What you get

•Register all AI systems with risk classification
•Automatically apply policies based on risk tier
•Generate AI system inventory reports for regulators

Integrations: All AI integrations — OpenAI, Anthropic, Gemini, Agent, MCP

Best for: Compliance officers, AI governance leads, and CISOs

Explore AI Systems

Code & Pull Requests

Enforce engineering standards before code ships

Automatically evaluate every pull request against your security, compliance, and operational policies — blocking unsafe changes and recording audit-ready evidence.

Common rules enforced

•Block PRs with hardcoded secrets or API keys
•Require approval for infrastructure-as-code changes
•Flag AI-generated code without attribution

Integrations: GitHub, GitLab, Bitbucket

Best for: Engineering leads, platform teams, and CISOs

Explore Code Governance

AI Outputs

Control what your AI says before users see it

Evaluate every LLM response against your safety, brand, and compliance policies in real time — blocking unsafe content, enforcing brand voice, and logging everything for audit.

Common rules enforced

•Block responses containing medical or legal advice
•Prevent PII from appearing in AI-generated responses
•Enforce brand voice guidelines on customer-facing outputs

Integrations: OpenAI, Anthropic, Google Gemini, REST API

Best for: AI product teams and application developers

Explore AI Output Governance

Documents & Storage

Protect sensitive content across storage, email, and messaging

Scan files, emails, and messages for policy violations — quarantining sensitive content, restricting sharing, and generating compliance evidence across every platform.

Common rules enforced

•Quarantine files containing Social Security numbers
•Block external sharing of confidential documents
•Flag emails with patient health information

Integrations: Google Drive, Dropbox, OneDrive, Gmail, Outlook, Slack, Teams

Best for: Compliance officers, legal teams, and operations

Explore Document Governance

Compliance & Audit

Prove AI governance to auditors and regulators

Generate continuous compliance evidence across every surface you govern. Map policies to frameworks, export audit-ready reports, and prove governance over time.

What you get

•Map policies to SOC 2, HIPAA, and EU AI Act requirements
•Generate timestamped evidence for every evaluation
•Export framework-aligned audit reports

Integrations: All integrations — one audit trail across every surface

Best for: Compliance officers, auditors, and executive leadership

Explore Compliance & Audit

One Governance Platform. Applied Everywhere.

These use cases are not separate products — they are different applications of the same governance engine. The same policies, evaluation engine, and enforcement modes apply across:

Code changesPRs, commits, branches

AI outputsLLM responses, completions

AI agentsTool calls, workflows, MCP

Documents & dataFiles, storage, drives

Emails & messagesGmail, Outlook, Slack, Teams

This consistency is what makes governance enforceable, scalable, and auditable.

Start Where the Risk Is Highest

Start with one surface

Most teams begin with code governance — enforcing rules on pull requests at the most familiar checkpoint.

Add more surfaces

Extend the same policy engine to AI outputs, AI agents, documents, and messages.

Prove compliance

Use built-in audit trails and framework mapping to demonstrate governance to auditors and regulators.

Most teams begin in monitoring mode and enforce progressively.

Prove Compliance in Minutes

Connect your tools, deploy compliance packs, and start generating audit evidence — with full enforcement from day one.

14-day free trial

16 integrations

HIPAA · SOC 2 · EU AI Act policies included

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Or explore the documentation