Protect secures your workspace data before AI can reach it. Comply gives AI a controlled path into your systems. IQ turns enterprise knowledge into answers you can defend, with Knowledge and Agent inside. Together they let you move faster without losing control.
Each layer answers the question buyers are actually asking, and hands the next layer a stronger starting point.
"Do you actually know what company data AI can already reach?"
Continuous exposure monitoring turns AI visibility into AI readiness, so the layers above it start from a workspace you actually understand.
Explore Protect"Could you prove your AI controls to your board, or an auditor, today?"
Policy checks before every request, filtered responses, human approval on high-impact actions, and a tamper-evident record. Built for the audit conversation you cannot fail.
Explore Comply"When AI gives you an answer, can you actually defend it?"
Knowledge is the truth layer: cited, defensible answers. Agent is the action layer: one chat surface with approval gates. Both live inside IQ.
Explore IQKnowledge gives teams a trusted foundation for decisions. Agent turns those decisions into action across connected systems. Comply adds governance so teams can move faster without losing control.
Agent can call Knowledge through its MCP server before preparing work in an operational system. Knowledge returns cited answers, evidence traces, graph context, and proof objects so the user can see where the answer came from before deciding what to do next.
Knowledge enforces tenant-aware ACL/RBAC and redaction during retrieval. When Knowledge is exposed to other AI tools through MCP, Comply can sit in front of that MCP surface to add boundary policy, response filtering, and tamper-evident audit for those calls.
The stack gives reviewers complementary evidence surfaces: Knowledge citations and proof objects for answers, Agent approval cards for known or configured system-of-record changes, and Comply audit logs for governed MCP and REST boundary decisions.
Retrieves approved sources and returns citations, evidence traces, and proof objects.
Coordinates configured MCP tools, packages repeatable work, and prepares approvals.
Comply gives security teams a dedicated policy and audit layer for AI callers that reach MCP and REST integrations. If Agent or Knowledge is part of that traffic path, Comply can enforce before the call, filter after the response, and record the decision.
The AI initiative does not need to rely on screenshots and good intentions. Boundary decisions can be exported, verified, and reviewed.
Knowledge becomes the trusted context layer your AI tools can call before they answer. It brings content through concrete connectors, applies retrieval controls, and returns cited answers with evidence traces and source-authority context.
“We have AI” turns into answers people can inspect, challenge, and defend.
Agent gives operators one place to investigate and prepare work across configured systems. Knowledge supplies cited context. Comply can govern the AI-to-system calls that need policy and audit. The same pattern can fit a manufacturer running ERP and quality systems, an MSP running service and accounting systems, or a health organization coordinating records, scheduling, and billing.
The conversational interface, the governed context, and the boundary controls arrive as one coordinated product family.
A regional services firm deploys OvatioIQ Agent so staff can ask questions across CRM, service-management, and finance systems in one chat surface. They add OvatioIQ Knowledge over SOPs, vendor agreements, and incident write-ups so answers can be grounded in cited enterprise context.
For the calls that need governance, they deploy Ovatio Comply at the MCP and REST boundary. Requests are checked before they reach target systems, sensitive response data can be filtered, consequential changes can be held for review, and boundary decisions are written to tamper-evident audit logs.
Each product has standalone value. The stack creates compounding value. A serious evaluation starts with the product mix, systems, deployment model, and governance depth so the scope matches the environment you actually need to support.
“Knowledge supplies context. Agent coordinates work. Comply governs the boundary.”
Bring your systems, your constraints, and the questions that still need a whiteboard.
