Compliance
definition
Compliance in agentic systems addresses the regulatory, legal, and organizational requirements that govern how AI agents handle data, make decisions, and affect systems in production environments. Key compliance frameworks include GDPR (data privacy in Europe), SOC 2 (security and availability for SaaS), HIPAA (healthcare data protection), and emerging AI-specific regulations like the EU AI Act, each imposing constraints on how agents can process information and what oversight is required.
Compliance in agentic systems addresses the regulatory, legal, and organizational requirements that govern how AI agents handle data, make decisions, and affect systems in production environments. Key compliance frameworks include GDPR (data privacy in Europe), SOC 2 (security and availability for SaaS), HIPAA (healthcare data protection), and emerging AI-specific regulations like the EU AI Act, each imposing constraints on how agents can process information and what oversight is required. For agentic coding specifically, compliance concerns include data residency (where model API calls are processed), intellectual property (who owns AI-generated code), audit trails (proving what the agent did and why), and access control (ensuring agents only access data they're authorized to see). Understanding compliance is important because organizations evaluating agentic coding tools need assurance that adoption won't create regulatory liability — and building compliance in from the start is orders of magnitude easier than retrofitting it. This concept connects to audit logging for the trail compliance requires, permission models for the access control framework, data exfiltration for the data protection dimension, and OWASP Top 10 for the security framework that compliance audits reference.