Anecdotes has released new agentic features in its enterprise GRC platform, allowing teams to build and deploy no-code AI agents that autonomously handle custom workflows with trusted GRC context.
Quick Intel
Traditional GRC programs struggle with increasing operational complexity as enterprises expand across geographies, systems, and stakeholders. Teams often dedicate excessive time to workflow orchestration instead of focusing on strategic risk decisions. Anecdotes' latest agentic GRC capabilities address this by deploying AI agents to automate custom workflows, allowing GRC teams to prioritize high-value strategic work while scaling programs effectively.
ChatGRC: The GRC Command Center ChatGRC stands out as a purpose-built solution unlike general AI assistants. It routes conversations directly to enterprise GRC data sources and program definitions. This enables natural language queries on program posture, including control status, risk exposure, and policy coverage. Beyond insights, ChatGRC supports actionable execution by triggering workflows and operations through dialogue, streamlining complex GRC tasks.
Pre-Built Recipes for Faster Adoption To simplify implementation, Anecdotes provides pre-built recipes covering common GRC processes such as gap detection and remediation, policy review coordination, and control assessment automation. These serve as ready-to-use accelerators while offering flexibility for teams to tailor them to specific requirements, reducing adoption barriers for sophisticated operations.
Agent Studio: Custom No-Code AI Agents Agent Studio empowers organizations to construct bespoke AI agents via an intuitive no-code interface. Users define triggers, tasks, and actions to automate diverse processes, from vendor risk assessments to multi-stakeholder policy approvals and cross-functional control implementations. This customization ensures agents align precisely with unique policies and workflows.
These capabilities leverage Anecdotes' robust data infrastructure, featuring over 230 native integrations and Data Studio for custom GRC pipelines. Agents operate with deep program context for enterprise-grade accuracy and reliability. The Model Context Protocol further extends connectivity, linking GRC data to external AI assistants like Claude and ChatGPT, forming a comprehensive agentic ecosystem.
"Enterprise GRC programs are entering a new era," said Yair Kuznitsov, CEO and Co-founder of Anecdotes. "For years, enterprises have been forced to choose between speed, scale, and accuracy. Agentic GRC eliminates those tradeoffs. With the ability to build custom agents that run on trusted data, enterprises can finally achieve continuous GRC at scale. This is not incremental improvement. This is a fundamental transformation in how GRC operates."
Anecdotes structures its agentic GRC platform across three integrated layers: a data layer for unifying and analyzing enterprise data into program context, an agentic layer for autonomous workflow execution by specialized AI agents, and a GRC layer delivering dedicated applications for governance, risk, compliance, and trust needs. This architecture supports modern enterprises in managing complex programs with required precision and scale.
About Anecdotes
Anecdotes is the enterprise agentic GRC platform built for organizations that refuse to compromise. With comprehensive solutions across governance, risk, and compliance, deep customization capabilities, and AI agents that run on an audit-grade data infrastructure, Anecdotes enables the world's top enterprises to manage GRC programs as unique as their businesses.
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