It is a set of AI agents onboarded as first-class IAM principals, each with a role, a human owner, and a lifecycle, and governed exactly like employees. Every action an agent takes is authorized deterministically before it runs, so autonomous AI can be put to work without handing it standing super-admin access.

OGIAM gives each agent a standards-based identity and runs every single action through a deterministic policy gate that returns allow, deny, transform, or escalate. The agent acts on behalf of its owner, capped by that owner's own access, and never beyond it. Models advise; only policy authorizes.

Yes. OGIAM QA pairs autonomous QA agents that drive the real UI with a penetration-testing scanner that probes for broken access control and IDOR, auth and JWT weaknesses, missing rate limits, error and information disclosure, weak security headers, and injection. Every finding is CWE-classified, located, and severity-ranked, so InfoSec is built into how the software ships.

The agentic SDLC is the software lifecycle once AI agents are writing, shipping, and operating code faster than traditional review allows. OGIAM adds the governance, enterprise-grade QA, and penetration-testing layers that keep that lifecycle safe and accountable.

Every agent decision is written to a tamper-evident, hash-chained ledger that names the rule that fired and attributes the action to the agent and its owner. The same deterministic gate that governs people governs agents, so access reviews, audit trails, and policy enforcement extend to AI without a separate process.

OGIAM is built for enterprise security, IAM, and platform teams: standards-based identity, deterministic and reproducible authorization, owner-bounded delegation, and a full audit trail on every action. Reach the team to see it against your stack.