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Anecdotes + ServiceNow: AI Agents and Trusted Data for IRM

With Anecdotes and ServiceNow IRM, you have:

A workforce of GRC agents

Autonomous agents collect evidence, test controls, and act on the results inside ServiceNow IRM, scheduled or on demand, reducing manual analyst work for the routine tasks.

An audit-grade data foundation

250+ ready-to-use connectors feed live, structured evidence into the records agents act on, so every automated decision is grounded in something you can defend to an auditor.

Native IRM, no new object model

Agents read and write your standard IRM records: control objectives, controls, policies, risks, and evidence. No migration, no parallel system of record to maintain.

The Agentic Era of IRM Is Here

Every GRC task you run today- chasing evidence, mapping it to controls, judging pass or fail, writing the report, is a manual workflow. Anecdotes replaces each one with an autonomous agent, and grounds every action in structured, credible evidence. Manual evidence becomes data pipelines. Manual workflows become agents. Together, that is the foundation the AI transformation of GRC is built on, natively inside ServiceNow.

Enterprise GRC at ServiceNow Scale

Anecdotes keeps your GRC program current across hundreds of controls, frameworks, and evidence items, automatically inside ServiceNow IRM. Your GRC data and agents work across Anecdotes and ServiceNow IRM together, with no context switching.

It speaks fluent ServiceNow IRM

Agents read and write your standard IRM records. No new object model.

Control Objectives

Create · Report
Bulk-create from 60+ frameworks. Objective-level reports roll up linked controls and evidence.

Controls

Test · Update
Continuously tested with AI-ranked evidence mapping. Status auto-updates when a threshold is crossed.

Policies

Extract · Map
Policy Guardian extracts statements, maps evidence to them, and suggests tests.

Evidence

Collect · Link
250+ connectors feed artifacts, linked to the right controls automatically.

Risks

Inform · Refresh
As controls and evidence move, the risks they mitigate reflect live posture.

What the agents actually do

Use case · CCM

Continuous control monitoring that closes the loop

A config drifts overnight. An agent re-collects the evidence, re-runs the test, breaches your threshold, and flips the control to Non-Compliant in ServiceNow. The owner is alerted. No analyst. No quarter-end surprise.

Use case · Unstructured evidence

Unstructured evidence in, defensible data out

One agent extracts testable requirements from a control objective. A second dynamically tests unstructured evidence (reports, policies, screenshots) and writes back structured, audit-grade artifacts.

Build your own with Data Studio, no code required.

Agents read and write your standard IRM records. No new object model.

How it works

Agents read & write your standard IRM records,no new object model.

Running an agentic enterprise GRC program

Your GRC data and agents work across Anecdotes and ServiceNow IRM. No context switching.

GRC at enterprise scale

Anecdotes keeps your entire GRC program current across hundreds of controls, frameworks, and evidence items, automatically, inside ServiceNow IRM.

Native to ServiceNow IRM

Reads and writes standard IRM records. No new object model, no migration, no parallel system of records and actions to maintain.

A governed AI perimeter

LLM access runs through GCP Vertex AI as a fully governed perimeter, with the right model matched to each task and quality-evaluated. Data delegation across AWS, Azure, and GCP keeps evidence in your own environment.

Get Agentic IRM Operational Quickly

Install from the ServiceNow Store, connect your data, and your first agents are live.