AI Governance
AI Governance Built Into the Platform
Every model call, agent action and prompt runs through policy, approval and audit controls, so AI adoption stays defensible.
Governance Center
Illustrative dashboard.
Capabilities
Control, protect and prove
- Model governance
- Agent governance
- Prompt governance
- Role-based access control
- Human approvals
- AI guardrails
- Data privacy
- Audit trails
- Explainability
- Model monitoring
- Agent monitoring
- Usage controls
- Security policies
- Sensitive-data controls
- Version management
How it works
Policy that applies everywhere
Governance lets risk, compliance and IT teams define how AI may be used, then enforces it across the platform.
01
Define
Set policies for data, models, users and use cases.
02
Approve
Review new solutions and models before they go live.
03
Enforce
Guardrails and access rules apply automatically at runtime.
04
Audit
Evidence of every decision is available for review and reporting.
Inside the product
Core components
Policy center
Central place to write and version AI usage policies.
Approval workflows
Sign-off for new solutions, models and data sources.
Use case register
Inventory of AI solutions with owners and risk levels.
Audit trail
Tamper-evident record of requests, outputs and approvals.
Reports
Evidence packs for internal audit and regulators.
Connected platform
How it works with the rest of BrainShift
Security and deployment
Runs under your control
- ▸Deploys on premises, in a private or sovereign cloud, or fully air-gapped.
- ▸Single sign-on and role-based access aligned with your directory.
- ▸Every action written to an audit trail your teams own.
- ▸Separation of duties between builders, approvers and administrators.
Questions
Frequently asked
Who owns governance?
Typically risk, compliance or IT; roles are configurable.
Can policies differ by department?
Yes, policies can be scoped to departments, solutions or users.
Does it support regulatory frameworks?
Policies can be mapped to the frameworks your organization follows.
Can we prove what the AI did?
Yes, the audit trail records inputs, outputs and approvals.
Govern enterprise AI centrally
Bring your data, knowledge, AI models, workflows, and AI agents together through one secure enterprise AI platform.