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