AI Governance
Create a practical governance layer for how AI systems are approved and operated.
Define approval paths for servers, agents, and use cases
Keep ownership and review state visible
Align AI rollout with enterprise governance programs
Products
Security
AI GRC and Security
Move the security story into the product architecture with policy administration, controls, evidence, and oversight for AI interactions, agents, and MCP servers.
At a Glance
Governance, risk, compliance, policy administration, and security controls for adopting AI safely at enterprise scale.
AI governance and compliance workflows
Policy administration for AI content and tool use
Risk posture for MCP servers and agents
Audit trails for AI interactions
Security controls for identity, data, and deployment
Highlights
Key highlights.
Policy administration
Admins can define, update, and monitor AI policies as enterprise requirements change.
MCP server scanning
Source, dependency, and posture checks help teams review MCP servers before adoption.
Interaction visibility
AI traffic can be monitored from one place so teams understand what is being used.
In This Product
What it covers.
Policy Administration
Give security and GRC teams a dedicated place to define, maintain, and review the policies that shape AI behavior.
Create policies for messages, documents, uploads, prompts, and tool use
Set enforcement actions such as block, warn, redact, or require review
Track policy ownership, active status, rule coverage, and outcomes in audit trails
Risk And Compliance
Give GRC teams a consistent way to reason about AI risk and evidence.
Track posture for MCP servers and agent workflows
Preserve evidence such as reports, SBOMs, and audit trails
Support compliance review with consistent operational records
Security Controls
Apply enterprise controls where AI systems touch users, tools, and data.
Authenticate, authorize, and audit AI interaction paths
Control identity, credentials, and deployment scope
Reduce blind trust in tools that connect AI to enterprise systems
Interaction Visibility
Make AI activity visible enough for security and platform teams to operate confidently.
Monitor AI traffic across agents and servers
Review request and tool execution patterns
Keep security and platform operations working from the same evidence
Governance ConsoleActiveActive
Turn AI oversight into an operating workflow.
Administer policies, review audit trails, monitor runtime health, and use MCP evidence to keep AI activity visible, reviewable, and controlled.
/dashboard/policies
Search
Content Policies
Create and manage policies to protect sensitive information
Block Credit Cards in Slack
Messages
Credit Card Numbersblock
Prompt Guardwarn
Email Addressesblock
Redact PII from Documents
Document Uploads
SSNblock
Phone Numbersblock
Bank Accountsblock
FAQ
Common questions.
AI GRC and Security
Contact UsSee how this fits your AI rollout.
Talk with CorpAI about the product path, deployment model, and controls that fit your enterprise environment.