Compliance Answers an AI Can Be Trusted to Give
Security compliance spans countless controls and frameworks. Google unified them into one trusted model, the context layer that powers an AI compliance agent and cuts compliance risk.
Challenge
Compliance spans many frameworks, with controls, policies, and metrics defined differently across external and internal standards. Mapping and maintaining those relationships by hand was complex and slow, leaving risk hard to see and manage.
Solution
Google built a governed context layer that maps security controls, policies, and metrics into one connected model. That trusted foundation powers a compliance agent that reasons over the relationships instead of chasing them manually.
Technical approach
- One connected model of security controls, policies, and metrics, mapped across standards
- AI-drafted, expert-approved, and served to a compliance agent, kept governed and current
Results
- Compliance risk down, from controls and mappings kept consistent
- Audit prep 40-60% faster, with mapped and traceable standards
- Analyst time reclaimed, as an AI agent answers from trusted context