One Platform, Every Surface
See how teams use Aguardic to enforce governance across code, AI, agents, documents, and compliance — without slowing down.
Every use case below uses the same governance engine. The difference is where governance is applied.
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
Integrations: OpenAI, Anthropic, Google Gemini, Agent, MCP
Best for: AI platform teams, ML engineers, and CISOs
Explore Agent GovernanceEnforce 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
Integrations: GitHub, GitLab, Bitbucket
Best for: Engineering leads, platform teams, and CISOs
Explore Code GovernanceControl 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
Integrations: OpenAI, Anthropic, Google Gemini, REST API
Best for: AI product teams and application developers
Explore AI Output GovernanceProtect 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
Integrations: Google Drive, Dropbox, OneDrive, Gmail, Outlook, Slack, Teams
Best for: Compliance officers, legal teams, and operations
Explore Document GovernanceProve 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
Integrations: All integrations — one audit trail across every surface
Best for: Compliance officers, auditors, and executive leadership
Explore Compliance & AuditThese 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:
This consistency is what makes governance enforceable, scalable, and auditable.
Most teams begin with code governance — enforcing rules on pull requests at the most familiar checkpoint.
Extend the same policy engine to AI outputs, AI agents, documents, and messages.
Use built-in audit trails and framework mapping to demonstrate governance to auditors and regulators.
Most teams begin in monitoring mode and enforce progressively.
Connect your tools, define your policies, and start enforcing automatically — with full audit trails from day one.