Autonomous
AI Agents.
Governed Through WSO2
Most enterprises are experimenting with AI agents. Very few are ready to operate them in production — because building an agent is easy. Governing it across enterprise systems, identity layers, compliance boundaries, and sensitive data is the real challenge.
THE ENTERPRISE AI PROBLEM
Most AI stacks look impressive in demos. Very few survive the move to production.
Once enterprises move beyond pilots, the real questions begin — and most AI frameworks have no answers. The result is fragmented governance, repeated compliance reviews, and AI initiatives permanently stuck in proof-of-concept.
How are AI agents authenticated?
Service accounts and API keys cannot represent autonomous agents acting on behalf of users.
Who governs data access?
No per-user scoping, no policy enforcement, no audit trail on what data agents can retrieve.
How do you audit AI-driven decisions?
Auditors need a traceable chain from intent to action — most frameworks provide none.
How do you scale without rebuilding governance?
Every new agent requires a full security re-review — slowing deployment to a crawl.
WHY MODEROR.AI + WSO2
Governance built in. Not bolted on.
WSO2 provides the governed enterprise runtime. moderor.ai delivers the AI-native agent layer. Together, every agent action is authenticated, policy-bound, explainable, and traceable from day one.
WSO2 — The Governed Runtime
Production-grade gateways, identity, and governance for APIs and AI traffic. Every interaction routed through enterprise controls.
AI / LLM Gateway — model routing, cost control, guardrails
MCP Gateway — turn REST APIs into governed agent tools
Identity Server — agent IAM with OBO delegation and CIBA
API Gateway — secure, monitor, and govern all API traffic
Multi-LLM flexibility — swap models without re-architecting
moderor.ai — The AI-Native Layer
Pre-built, configurable AI agents for GRC workflows enterprises actually need — with zero-trust architecture by design.
Autonomous AI agents for compliance, audit, and risk
Governed RAG — source-attributed, per-user scoped answers
Approval hierarchies and risk threshold controls
Decision-level audit trails and explainability
Reusable governance — new agents inherit existing controls
Instead of stitching together five vendors — you get one governed stack,
production-ready from day one.
AGENTIC AI SOLUTIONS
Pre-built agents for the workflows that matter most
Every solution ships with built-in governance, audit trails, and enterprise IAM — ready to go live in 60–90 days.
Auditor Workbench
Continuous audit readiness and autonomous evidence collection. Eliminate manual audit prep and accelerate assurance cycles.
KYC / AML Agents
API Testing - AI-driven API test generation and automated regression workflows. Reduce manual testing effort while enabling scalable, consistent API validation across evolving release cycles.
User Access Management
AI-assisted access governance and identity reviews. Automate entitlement analysis and recertification at scale.
Vendor Risk Assessment
Continuous third-party risk monitoring and governance. Identify exposure early and maintain always-current vendor risk profiles.
Continuous Compliance
Real-time compliance intelligence across systems and controls. Stay ahead of regulatory change without manual monitoring overhead.
PURPOSE-BUILT FOR
Every regulated enterprise has a governance problem.
We built moderor.ai for the industries where governance, compliance, and audit readiness are not optional — they are existential.
Banking & Financial Services
Healthcare & Life Sciences
Insurance
Public Sector & Government
Manufacturing & Supply Chain
WHAT YOU GAIN
Enterprise-Grade AI Governance
Every agent action is authenticated, policy-aware, and auditable — not as an afterthought, but as the foundation.
End-to-End Traceability
Trace every decision from user request → AI reasoning → tool execution → backend response. Full chain of custody for auditors.
Zero-Trust Agent Identity
Agents operate with scoped, delegated permissions using enterprise IAM. No shared service accounts. No unchecked access.
MCP-Native, No Lock-In
Open standards throughout. Swap models, tools, or cloud providers without re-architecting your agents or governance layer.
Reusable Governance at Scale
Every new agent inherits existing gateway policies, identity controls, and compliance frameworks automatically.
FROM PILOT TO PRODUCTION - FAST
A risk-shared path to your first
production AI agent.
Our engagement model is designed for regulated enterprises. We validate one workflow end-to-end before scaling — so you see real ROI before committing to a full programme.
We win when you win. Pilot incentives are aligned to your outcomes — not our billable hours.
ONE GOVERNED ENTERPRISE AI STACK
WSO2 already consolidates API, Integration, and IAM. moderor.ai layers agents, MCP runtime, governed RAG, and GRC intelligence on top. Fewer contracts, fewer seams, simpler audits.
Together, they create production-ready Agentic AI for the enterprise — governed from day one.
Deploy your first governed AI agent in 60–90 days.
Talk to us at WSO2Con 2026, Austin — or reach out directly. We'll map one cross-system workflow, identify your governance gaps, and show you exactly what governed agentic AI looks like in your environment.