The observability layer for enterprise identity.
observity.ai turns IAM, IdP, IGA, PAM, cloud, HR, and ITSM data into a defensible baseline, including visibility into service accounts, automation identities, and agentic identity candidates.
See observity.ai in your environment.
A 30-minute walkthrough of observity.ai against an environment like yours.
IAM Discovery Report
Provisioning Optimization
Integrations You Already Use
Real metrics pulled from your enterprise systems — no manual entry.
Surface IAM gaps no single tool can show on its own.
observity.ai pulls signals from your identity, governance, HR, and ITSM stack, turns them into a defensible baseline, and gives your team a repeatable way to prove what changed after remediation.
Learn moreFind risks no single system can prove alone
Review AI findings before you share them
Rerun from a trusted version and compare
Surface AI agents, bots, apps, and automation identities
Bring evidence, not generic maturity claims
See the autonomous identities your IAM program was not built to govern.
AI agents, service principals, bots, app registrations, managed identities, and automation accounts are becoming part of the enterprise workforce. observity.ai helps identity teams observe these identities through the systems they already govern.
The report is evidence-first: explicit AI agents only when the connected data proves them, and agentic candidates when autonomous access is inferred from identity, application, cloud, IGA, or PAM signals.
Classify candidates conservatively
observity.ai separates explicit AI agents from inferred agentic candidates, service accounts, app registrations, bots, and API clients.
Map ownership and privilege
Show owners, privileged roles, broad scopes, review gaps, and governance bypass risk from connected identity evidence.
Find credential risk
Surface stale service accounts, long-lived automation access, and credential hygiene gaps where connector data supports it.
Prove control improvement
Rerun the assessment after cleanup to compare what changed and what still needs governance attention.
AI Agent & Non-Human Identity
Ownership, privilege, credential hygiene, access review coverage, cloud entitlement exposure, and governance bypass.
How observity.ai Works
Built for Teams Owning IAM Outcomes
observity.ai fits enterprise teams working across governance, identity, HR, and ITSM systems that need a defensible baseline before they scale remediation.
Identity Architects
Need cross-system evidence without another six-week data chase
IAM Program Leads
Need a baseline they can defend to leadership and delivery teams
Security and Audit Leaders
Want repeatable proof of identity risk reduction across core systems
Enterprise-Grade Security
Your IAM data is sensitive. observity.ai is built so enterprise teams can review connector access, retained artifacts, and report history with clear expectations instead of vague marketing claims.
Purpose-Bound Retention
We retain the snapshots, report versions, and audit history needed for baselines, reruns, exports, and collaboration.
No Training on Customer Data
Your tenant data is not used to train or improve foundation models.
Encryption in Transit and at Rest
Connector credentials and application data are protected with encrypted transport and encrypted storage.
Enterprise Authentication
Support for SSO and SAML so you can control access through your existing identity provider.
Org-Scoped Access Controls
Permissions are scoped at the organization level so teams only see the workspaces and reports they should.
Versioned Auditability
Report history, validation status, and shared artifacts stay traceable over time.
Stay in the loop
Get launch updates, product news, and occasional deep dives on IAM assessment workflows.