Secure Access, Auditing, and Control
The Trust, Control & Security Filter
The security barrier managing identity access, auditability, and computational guardrails across enterprise AI operations.
Why Enterprise AI Needs Control at Every Layer
As AI accesses sensitive enterprise information and operates across business systems, organizations need clear permission boundaries, complete traceability, and safeguards against data and cost risks.
Sensitive Data Needs Clear Access Boundaries
Without granular identity and permission controls, AI risks exposing sensitive information beyond existing corporate security boundaries.
AI Activity Must Be Fully Traceable
Incomplete execution histories and cost visibility make it harder to meet regulatory, audit, and internal governance requirements.
Security and Cost Risks Can Escalate
Sensitive data leakage, prompt-based threats, and uncontrolled AI loops can create privacy risks and unexpected expenditure.
CORE CAPABILITIES
Govern Enterprise AI with Built-In Control
Govern combines access control, auditability, and computational safeguards to keep enterprise AI secure, traceable, and within defined operating boundaries.I.
Access
Manages identity and permission boundaries through enterprise SSO and Entra ID, enforcing granular Role-Based Access Control (RBAC) and security-trimmed access to enterprise information.
Audit
Maintains complete audit trails through immutable transaction histories, providing transparent AI execution records while tracking real-time resource and token costs.
Control
Protects against data leakage, security vulnerabilities, and unexpected AI expenditure by masking sensitive PII, defending against prompt injection, and enforcing budget caps and circuit breakers to prevent runaway AI loops.
INDUSTRIES
Governed AI Across Industries
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Govern, as the Trust, Control & Security Filter within the iMBrace Enterprise AI OS, manages identity access, auditability, and computational guardrails across enterprise AI operations.
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