AI Identity vs Opal Security
Opal Security extends enterprise IAM with AI-native access workflows. AI Identity governs what agents actually do at runtime with cryptographic identity, fail-closed enforcement, and tamper-evident forensics.
Feature Comparison
Side-by-side breakdown of capabilities that matter for production AI agent deployments.
Where Opal Falls Short for AI Agents
Opal governs who can request access. It does not govern what agents do with that access.
No Runtime Enforcement
Opal's model is request-and-approve: an agent requests access, Paladin evaluates, and access is granted or denied. But once access is granted, there is no gateway intercepting what the agent actually does with that access. AI Identity's fail-closed gateway evaluates every request in real time.
No Cryptographic Agent Identity
Opal manages agent identity through its access graph — a database record, not a cryptographic binding. Agent credentials are not cryptographically tied to individual agent sessions. When a credential leaks, you cannot prove which agent instance used it.
No Tamper-Evident Forensics
Opal's Paladin produces log entries for access decisions. These logs are stored in Opal's infrastructure and can be exported to SIEMs. But they are not hash-chained — there is no mechanism to detect if a log entry has been altered after the fact.
Full IAM Adoption Required
Integrating with Opal means adopting their full IAM platform. For teams already running LangChain or CrewAI agents in production, this is a months-long migration. AI Identity integrates with a single URL change.
Why Teams Choose AI Identity
Purpose-built agent governance at the network layer, not an IAM extension.
Fail-Closed Gateway
Every agent request routes through AI Identity's gateway. Policy is evaluated before execution, not after. If the gateway is unreachable, requests are denied — not allowed by default.
Immutable Audit Trails
HMAC-SHA256 hash-chained logs where altering any record breaks the chain. Independently verifiable. Courtroom-grade evidence, not vendor-trust-dependent log entries.
Framework-Agnostic Governance
Govern LangChain, CrewAI, custom agents, and third-party agents through a single policy framework. No per-vendor integration required.
Deploy in 15 Minutes
Change one URL in your agent configuration. No IAM migration, no platform adoption, no SDK changes. Govern agents already in production without rebuilding your stack.
Ready to govern your AI agents?
Add identity, audit trails, and compliance to your agent fleet in 15 minutes. No SDK changes required.