Agentic GRC

Welcome to the Agentic GRC Era

AI agents work alongside your team to transform traditional GRC: replacing manual, human-operated workflows with an automated and continuous program.

How Agents Work for You

1.

Trigger

The signals that activate an agent

Time-based (scheduled)

GRC event (status change)

Evidence update

User request

2.

Task

The agent's execution of your workflow

Analyze data & gaps

Match & link entities

Generate recommendations

Assess risk & coverage

3.

Action

The outcomes the agent produces

Update GRC objects

Notify stakeholders

Create findings/tasks

Generate reports

1.

Trigger

The signals that activate an agent

Time-based (scheduled)

GRC event (status change)

Evidence update

User request

2.

Task

The agent's execution of your workflow

Analyze data & gaps

Match & link entities

Generate recommendations

Assess risk & coverage

3.

Action

The outcomes the agent produces

Update GRC objects

Notify stakeholders

Create findings/tasks

Generate reports

1.

Trigger

The signals that activate an agent

Time-based (scheduled)

GRC event (status change)

Evidence update

User request

2.

Task

The agent's execution of your workflow

Analyze data & gaps

Match & link entities

Generate recommendations

Assess risk & coverage

3.

Action

The outcomes the agent produces

Update GRC objects

Notify stakeholders

Create findings/tasks

Generate reports

What is Agentic GRC?

Agentic GRC

/ā-jen-tik jē-är-sē/ noun

1.

A data-informed GRC operating model where AI agents function as specialized team members, independently executing complete workflows, while human experts provide strategic oversight.

2.

The practice of deploying autonomous AI agents to complete multi-step workflows.

3.

The future of GRC, where teams leave the busy work behind and focus on strategic improvement and continuous GRC.

The Agentic GRC Stack

Everything you need to build, deploy, and monitor AI agents across your GRC program.

Agent Studio

Build agents that match your needs with our no-code builder. Define triggers, tasks, and actions to mirror your unique workflows and processes.
Learn about Agent Studio

Agent Library

Production-ready agents for common GRC workflows. These specialized team members offer multi-step reasoning and seamless handoff to human experts when needed.
Browse Agents

ChatGRC

The conversational AI agent that powers all other agents. Ask questions, explore your program, and get instant answers grounded in your actual GRC data. 
Learn about ChatGRC

Model Context Protocol

Connect your data in Anecdotes and external tools to your agents. Build orchestrations that span your calendar, ticketing systems, and more.
Learn about MCP

Data: What Makes Agentic GRC Possible

AI is only as smart as the data it runs on. The Anecdotes Data Engine normalizes and structures data from 230+ enterprise systems into a unified GRC context so your agents can work with the same accuracy as your most experienced team members.

raw

230+ Plugin Integrations

Live data from AWS, Azure, Okta, GitHub, Jira, and more

Processed

Data Normalization

Unified schema across all sources and evidence types

Mapped

GRC Structure

Controls, risks, policies, requirements, frameworks

Ready

Agent Context

Program metadata, relationships, history, status

GRC Teams, Empowered

Agentic GRC doesn't replace your team, it multiplies their impact. When agents handle manual workflows, your team can do what humans do best: judgment, strategy, and building a security program that makes a real impact.