Security & Governance
From content entering a model to knowledge retrieval, tool calls and cost management, your existing identity and permission boundaries carry through, so AI use remains controlled, auditable and sustainable over the long term.
Sensitive information is detected, then reviewed, masked or blocked by policy.
Organization, role and access scope are inherited from the corporate identity.
Knowledge and tools carry the user's identity and stay within the authorized scope.
Key logs are kept permanently, and usage counts toward team budgets.
Key governance controls
Extend your existing security mechanisms into the way AI works. Employees keep their habits, and IT stays in control of the boundaries.
Company policies apply to inputs and outputs, reducing the risk of sensitive data reaching a model or being returned inappropriately.
Connect your enterprise sign-in system and bring organizations, roles and resource permissions into the AI platform.
When AI reads knowledge, calls connectors or runs tools, it follows the current user's authorization scope.
Key operations, model calls and resource consumption are all recorded, supporting tracing, review and continuous improvement.
Keep your identity system
No need to reinvent permissions. Bring your existing sign-in, organization, role and resource rules into the platform, so identity stays in force across the entire task chain.
Connect enterprise SSO through standards such as SAML 2.0 and OIDC, so employees reach the AI workspace and business apps with their existing accounts.
Knowledge and tools, called with identity
AI never needs a master key. Every read and every action is checked layer by layer against user identity, resource permissions and operational risk.
Before knowledge is recalled, the user's accessible documents, data scope and metadata are verified, and answer citations follow the same boundary.
Connectors get scoped authorization through mechanisms such as OAuth, and callable scope is configured per tool and action to reduce credential exposure.
High-risk actions such as sending externally or writing to business systems can require confirmation and approval, keeping people in charge of key decisions.
Always traceable
Turn security governance from after-the-fact investigation into an everyday operating capability that is visible, reviewable and improvable.
Key events such as sign-ins, content policy hits, knowledge retrieval, model calls, tool execution and admin actions are stored for long-term audit tracing.
Usage and budget management
Model usage is attributed by user, team, project and app, closing the loop between security governance and cost operations on one platform.
See model calls and resource usage for each user, team and business app.
Allocate limits by organization and business priority so every team works within clear boundaries.
The right owners are alerted when spending nears the budget, usage spikes or a policy anomaly occurs, so they can act promptly.
Review models, Agents and processes against real usage and business results, and keep scaling what works.
Yes. Common SSO standards such as SAML 2.0 and OIDC are supported. During onboarding, account mapping, organizations and role permissions are confirmed with your identity provider.
