Identity security that gives teams time back

Pull entitlement data from every connected system into a unified graph, run risk-scored reviews on a continuous cadence rather than quarterly, and route certifications to the actual owner or manager based on org context. Auto-approve low-risk renewals, escalate toxic combinations, and write revocations back to the source system. Bulk-recertification workflows are where most legacy tools fail at scale.

Inconsistent permission models across clouds, sprawling SaaS scopes, service accounts with admin-equivalent roles, and AI agents granted broad OAuth scopes for convenience. Effective permissions rarely match assigned roles, which means least privilege has to be calculated from actual usage. Developer pushback on tightened scopes is the operational blocker. Without runtime usage data, right-sizing turns into guesswork.

Calculate effective permissions per identity, including AI agents and NHIs, then compare against actual usage over a 30 to 90 day window. Flag any privilege used less than a threshold or never used. Auto-remediation needs guardrails: stage changes, notify owners, allow rollback, and exclude break-glass accounts. Push the right-sized policy back to the source IDP or cloud rather than maintaining a parallel state.

Connect the HR system as the source of truth for human identities. Trigger provisioning across IDPs, SaaS apps, and cloud accounts on joiner events. For movers, recalculate entitlements based on the new role rather than appending access. For leavers, revoke everywhere in one pass, including OAuth grants, API keys, and any AI agents tied to the departing user. Manual offboarding leaves trailing access.

Yes, with usage-based right-sizing and just-in-time elevation. Calculate the actual permissions developers exercise over time and trim the rest. For occasional admin tasks, grant time-bound access through a request workflow rather than standing privilege. AI agents and CI/CD pipelines benefit from the same pattern: scoped, ephemeral credentials rather than long-lived broad tokens. The friction is in rollout, not the steady state.

Surface requests through the tools developers and business users already use (Slack, Teams, ticketing). Route to the actual data or system owner, with risk context attached: what is being requested, what privilege it grants, whether it creates a toxic combination. Auto-approve low-risk renewals. Time-bound elevated grants with auto-revocation. The bottleneck is usually the approval chain length, not the request mechanism.

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Treat contractors as a distinct identity class with mandatory end dates pulled from the contract source of truth. Default scope is least privilege with time-bound elevation for specific tasks. Automate revocation across every system on the contract end date, including any AI agents or service accounts the contractor created. Re-certification runs at shorter intervals than employees. Most overstays come from manual end-date tracking.