About Policies
Your developer must configure the Lineaje MCP server to allow consistent violation scanning and policy enforcement.
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.
Generates structured remediation playbooks and AI-assisted fix guidance for secure implementation.
Stores a curated, version-controlled policy repository accessible within UnifAI.
Defines which policies apply to specific AI asset types such as LLMs, AI Agents, and MCP servers.
Maps policies to global frameworks including NIST SSDF, OWASP, EU AI Act, and PDPA.
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:
Last updated