GOVERNANCE
Compliance is the starting condition.
Governance in AgentAnywhere is not a layer we paint on top of an agent platform. It is the substrate the platform was built on. Aligned with all twenty-six recommendations of RBI FREE-AI. Continuously verified against OWASP Top 10 and SANS Top 25. SOC 2 Type II, ISO 27001, HIPAA, GDPR.
Five planes. One governance model.
Most AI governance products treat compliance as a reporting layer. AgentAnywhere does the opposite. The governance model is the substrate; reporting is what falls out of it.
Five planes structure every AgentAnywhere deployment. Identity — every agent, model, prompt, and tool has a unique address and a named human owner. Provenance — the lineage of every artifact is reconstructable, back to the corpus, the trainer, the approval. Evaluation — the behavior of every model in production is measured against published benchmarks and your own. Policy — guardrails are first-class artifacts in the runtime, not configuration files. Audit — every decision the platform makes leaves a chained, signed record an external party can verify.
These planes are not separable. Removing one is not a tradeoff for performance — it is a deployment that we will not support.
What each plane enforces.
Identity
Every artifact in the deployment — agent, model, prompt, tool, dataset, policy — has a unique, immutable identifier and a named human owner. Anonymous artifacts cannot run in production. Ownership transfers leave audit records.
Provenance
Lineage is reconstructable for every model and every flow back to the corpus they were trained on, the trainer who built them, the approver who released them. Cryptographic chains link each release event to the next.
Evaluation
Behavior is measured, not assumed. Accuracy on benchmarks, fairness across protected groups, drift against the registered baseline, red-team results — all stored on the asset record and surfaced at deployment time.
Policy
Guardrails are runtime artifacts in Registry. A policy update is a release, with an approval workflow, a diff, and a rollback. No policy ever changes silently in a deployed environment.
Audit
Every consequential platform decision — model selection, tool invocation, human handoff, policy enforcement — leaves a signed record. The audit trail is queryable, exportable, and designed for an external party to verify without trusting us.
Aligned with all twenty-six recommendations of RBI FREE-AI.
The Reserve Bank of India's Framework for Responsible and Ethical Enablement of AI (FREE-AI) is the most concrete national framework yet published for AI in regulated finance. It contains twenty-six recommendations spanning data governance, model governance, deployment posture, transparency, redress, and continuous oversight.
AgentAnywhere maps to all twenty-six. The mapping is maintained as a living document — every recommendation is paired with the platform mechanism that implements it, the artifact in your deployment that evidences it, and the audit query a regulator can run to verify it.
The full mapping is available under NDA. We provide it in advance of every banking pilot and refresh it as RBI updates the framework. For the non-NDA overview, see the Trust Center. For a working session with a regulated-finance compliance officer in the room, see the CTA at the foot of this page.
Continuously verified.
Certification is a snapshot. Verification is a posture. AgentAnywhere is operated as a continuously verified platform — both against external security frameworks and against the internal governance model.
External frameworks
- OWASP Top 10 for application security. Every release runs the full check; results are published to customers under NDA.
- SANS Top 25 for the most common software weaknesses. Static and dynamic analysis on every merge.
- SOC 2 Type II with annual audit. Reports available under NDA.
- ISO 27001 information security management.
- HIPAA controls for healthcare deployments. BAA available.
- GDPR data-subject mechanisms across EU deployments.
Internal verification
Every governance plane is monitored against a published service-level objective. Identity-without-owner is a critical-severity event. Unsigned audit chains are a critical-severity event. Drift exceeding a model's registered envelope is a high-severity event with mandatory review.
Verification results are reported back into Registry, where they become part of the deployment's auditable history. A customer can see, for any week of any month, every governance event the platform raised, every action taken, and every named owner who closed the loop.
When verification fails, customers learn first. Not the press, not the analysts, not the launch blog.
What governance is not, in this product.
Governance in AgentAnywhere is not a separate dashboard you log into. It is not a quarterly compliance report your team has to assemble by hand. It is not a badge in a footer.
It is a substrate. Every agent inherits it. Every model carries it. Every audit trail emits it. The only way to deploy AgentAnywhere is to deploy it with governance on; the only way to operate it is to operate it under the planes above. There is no "governance-off" mode, because the platform was built without one.
If you need a platform where governance can be turned off to ship faster, this is not it. If you need a platform where governance is what makes shipping possible at all, this is the one we built.
Bring your compliance team to the conversation.
Governance conversations are best run with the people who own the framework on your side. Bring your CISO, your CCO, your DPO, your model risk lead. Our compliance and solutions teams will walk through the platform, the planes, and the mappings against the frameworks you operate under — including the RBI FREE-AI mapping under NDA.