Your AI agents are reaching into core systems. Nothing is governing them.
Govern AI traffic, agent identity, and tool access on WSO2 — inside your own perimeter, with the audit evidence your regulators expect.
Agentic AI moved into production faster than the controls did.
LLM calls and autonomous agents now flow through the same API and identity layer that runs your business — usually with none of the governance that layer was built to enforce.
Agents with no identity
Autonomous agents invoke internal systems with shared keys, not verifiable identities. When something goes wrong, there is no answer to "which agent, acting for whom, on what authority?"
Traffic with no guardrails
Prompts and responses move to and from models with no consistent policy, no PII controls, and no central view of what data is leaving — or whether it should.
Activity with no audit trail
Examiners and risk teams are starting to ask for evidence: who initiated each AI action, what it accessed, and how access was authorized. Most stacks cannot produce it.
You already run WSO2. Now govern AI and agents on it.
We extend the WSO2 platform you operate into a control plane for AI — covering the model layer, the agent layer, and the systems agents are allowed to touch.
Identity for every agent
Treat agents as first-class identities on WSO2 Agent ID and Identity Server — registered, authenticated, scoped to least privilege, and revocable instantly. Every on-behalf-of action traces to an agent, an owner, and an authority.
Governed AI and MCP access
Route, rate-limit, and guardrail LLM and MCP traffic through the WSO2 AI Gateway. Define which agent can invoke which tool or service, under which policy — and block the rest.
Deployed inside your boundary
Run the entire control plane on-premises or in your private cloud, alongside in-perimeter models. Data and decisions stay where residency and sovereignty rules require.
Evidence built for examiners
Produce the audit trails, access records, and policy reports regulated review actually asks for — designed with the compliance control in mind, not bolted on afterward.
One governed boundary between AI and everything that matters.
Apps, agents, and users on the outside. Models, data, and core systems on the inside. WSO2 sits on the line — and nothing crosses without an identity, a policy, and a record.
Stand it up. Govern it. Keep it running.
Whether WSO2 is already core to your stack or arriving with your next project, we cover the full arc — and stay on to run it.
Build it AI-ready
New to WSO2, or rolling it out across North America? We deploy the API, integration, and identity layers ready for AI and agents from day one — so governance is designed in, not retrofitted.
Bring agents under control
Apply identity, guardrails, and audit to the AI and agents already moving through your platform. This is where the regulated stakes are highest — and where our depth shows.
Managed services
We keep the platform current, secure, and governed as it scales — so your team ships product while the control plane stays sound.
Proven depth on the platform — and the regulator.
WSO2 is moving its identity and integration stack to the front of the agentic-AI shift. We deliver that stack where the stakes are highest: regulated, in-perimeter, and audited.
- → Certified WSO2 delivery partner. We build on the platform itself, not around it.
- → Regulated by default. Deep delivery experience in data-residency-constrained, audited environments.
- → Built on WSO2's agent layer. Agent Manager, Agent ID, and Identity Server 7.2 — applied to real production constraints.
- → One stack, one perimeter. Gateway, identity, and governance delivered as a single control plane inside your boundary.
A fixed-scope governance review.
A short, low-commitment engagement: we map how AI and agents move through your WSO2 environment today, where the governance gaps are, and what it takes to close them before they reach an auditor.
New to WSO2, or want it run for you? Same conversation — just tell us where you're starting.