> For the complete documentation index, see [llms.txt](https://docs.veedna.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.veedna.com/unifai/policies.md).
# Policies
{% hint style="info" %}
Your developer must [configure the Lineaje MCP server](/unifai/setting-up/configuring-the-lineaje-mcp-server.md) to allow consistent violation scanning and policy enforcement.
{% endhint %}
UnifAI policies are your built-in controls for AI security and compliance. Instead of manually tracking complex regulations, UnifAI automates policy enforcement across your AI ecosystem.
The policies are assigned a severity level (Critical, High, Medium and Low) and span across four domains — AI Threats and Exploits, Data Security and Privacy, Identity and Access Control, and Vulnerability.
UnifAI policies provide the following benefits:
* Automates consistent policy enforcement across AI assets to reduce manual review and human error.
* Strengthens AI systems against prompt injection, unsafe outputs, and misuse.
* Maintains region-aware PII detection models for US, EU, Singapore, and other jurisdictions, along with aligned redaction rules.
* Identifies and mitigates known open source and transitive dependency vulnerabilities.
* Maps policies to global frameworks including NIST SSDF, OWASP and EU AI Act.
* Supports refinement of organization-specific AI governance rules and control configurations, and reviews custom enterprise policies for safety and completeness.
* Centralizes policy management to improve visibility, governance, and compliance.
UnifAI supports the following policy‑related actions:
1. [View all policies](/unifai/policies/viewing-and-enabling-policies.md#view-all-policies)
2. [Enable or disable policies](/unifai/policies/viewing-and-enabling-policies.md#enable-disable-policies)
3. [Upload custom policies](/unifai/policies/viewing-and-enabling-policies.md#upload-custom-policies)
---
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