Meeting regulatory and organizational requirements for deploying AI agents in production — including audit trails, data handling, and accountability.
AI compliance is the intersection of AI capabilities and regulatory requirements. When your AI agent handles customer data, makes decisions that affect people, or operates in regulated industries, compliance requirements apply.
Key areas: data protection (GDPR, CCPA), industry regulation (HIPAA, PCI-DSS, SOC 2), AI-specific regulation (EU AI Act), and organizational policies (internal security standards).
The foundation of AI compliance is accountability: can you prove what the agent did, why, and that it followed the rules?
Non-compliance means fines, lawsuits, and loss of customer trust. As AI regulation increases, companies deploying agents without compliance controls face growing legal risk.
Clawctl provides the technical foundation for AI compliance: full audit trails, approval workflows, data encryption, access controls, and SIEM export. Business plans include compliance evidence pack generation.
Try Clawctl — 60 Second DeployDepends on your industry and data. Common ones: GDPR (EU data), HIPAA (healthcare), SOC 2 (SaaS), PCI-DSS (payments), and the EU AI Act.
SOC 2 certification is on the roadmap. Clawctl provides the controls needed for SOC 2 compliance.
Yes. Business plans support audit log export in CSV/JSON format and SIEM integration.
Audit Trail
A chronological record of every action an AI agent takes, providing accountability, compliance evidence, and forensic capability.
SIEM Export
The ability to export AI agent audit logs to a Security Information and Event Management system for centralized security monitoring.
AI Governance
The framework of policies, processes, and controls that govern how AI agents are deployed, monitored, and managed in an organization.
SOC 2 for AI Agents
Meeting SOC 2 Trust Service Criteria for AI agent deployments — specifically security, availability, processing integrity, confidentiality, and privacy.