Agentic GRC

Agentic GRC

Agents can do real GRC work — drafting controls, assessing vendors, triaging findings, completing recurring tasks. But only if the platform beneath them is built for it. Kordon is API-first, fully connected, and schema-extensible by design.

How it works

From API key to agent-run ISMS in four steps

Kordon doesn't bolt AI onto GRC. It gives you a structured, addressable, fully-connected platform that agents — yours, ours, or third-party — can operate against with confidence.

01

Plug agents in

Generate an API key or install the official n8n node. Any agent framework — Claude, LangChain, custom code, n8n workflows — can start reading and writing within minutes.

02

Let agents populate the ISMS

Turn unstructured input — meeting notes, vendor questionnaires, ticket exports — into connected assets, risks, controls, and requirement mappings. Agents do the translation; you review the result.

03

Automate the recurring work

Vendor reviews, control description updates, finding triage, evidence collection, task completion. Agents handle the repeatable parts of running a security program while humans focus on judgment calls.

04

Keep humans in the loop

Agents propose; humans approve. Assign agent-drafted work for review, require sign-off on high-impact changes, and use Kordon's permissions model to scope exactly what agents are allowed to do.

Built for agents

A platform agents can actually operate

Agentic GRC isn't about AI-generated checkboxes. It's about agents doing real work — reading context, making connections, updating state, and leaving an audit trail. Kordon's architecture makes that possible.

Complete REST API coverage

Every action available in the Kordon UI is available through the API. Risks, controls, tasks, assets, vendors, findings, connections, custom fields — all readable, writable, and automatable. No hidden surface area.

Official n8n node

Orchestrate multi-step agent workflows visually. Trigger actions in Kordon from external events, or chain agent reasoning steps across your tools. Full parity with the API — the same complete object model.

Connected object model

Risks, controls, assets, vendors, business processes, requirements, findings — everything connects to everything. Agents can reason across the mesh instead of dealing with flat, disconnected records.

Custom fields that behave natively

Agents can extend the schema with typed custom fields that look and work exactly like built-in ones. Capture exactly the context your agents need without waiting on a vendor roadmap.

Tasks, evidence, and health

Agents don't just create records — they complete recurring tasks, attach evidence, and trigger health propagation across assets, vendors, and processes. The platform computes state; agents operate on it.

Audit-ready traceability

Every create, update, and completion is attributable and timestamped. Agent-driven changes flow through the same controls as human changes, with the same audit trail auditors already trust.

Run your GRC program with agents, not against them.

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