Compliance Guide

AI Agent Security & Compliance Checklist

Complete checklist for SOC 2 Type II, GDPR, HIPAA, and enterprise security. Printable compliance framework for 2026.

Checklist Sections

2026 Compliance Landscape for AI Agents

Deploying AI agents in enterprise environments requires navigating multiple compliance frameworks. Here's what you need:

SOC 2 Type II
De facto standard for B2B SaaS. Not a law, but enterprises won't sign contracts without it. Audits verify security controls, data privacy, system availability, and processing integrity.
GDPR (EU AI Act Integration)
If you process personal data of EU residents, GDPR applies. High-risk AI system requirements (most agents are "limited risk" or "minimal risk") take effect August 2026. Fines up to €35M or 7% of global revenue.
HIPAA
Required for healthcare data. AI agents handling PHI (Protected Health Information) need BAA (Business Associate Agreement), encryption, audit trails, and workforce training.
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Data Security & Encryption Foundation

Encryption (In Transit & At Rest)

  • API calls between agent and external services encrypted end-to-end.
  • Databases, vector stores, and file storage use 256-bit encryption.
  • Use AWS KMS, Azure Key Vault, or equivalent. Never hardcode keys in code/config.
  • Automated key rotation for secrets, API tokens, database passwords.
  • Ensure backup integrity quarterly.

Access Control & Authentication

  • No single-password access to admin/production environments.
  • Users can only access data/tools their role permits.
  • No hardcoded credentials. Use IAM roles or credential rotation.
  • Or shorter for high-risk integrations.
  • For audit purposes.

Network Security

  • Not exposed directly to internet (unless necessary).
  • Blocks injection attacks, DDoS attempts.
  • AWS Shield, Cloudflare, or equivalent.
  • By external security firm or red team.

SOC 2 Type II Compliance Checklist

SOC 2 audits verify five "Trust Service Criteria" (Security, Availability, Processing Integrity, Confidentiality, Privacy). Here's what you need:

CC: Common Criteria (Security Foundation)

  • Covers asset classification, incident response, access control, encryption.
  • Identify threats, vulnerabilities, and mitigation strategies.
  • Code reviews, approval workflow, rollback procedures.
  • Different credentials and audit trails for each environment.

A: Availability (System Uptime & Performance)

  • E.g., 99.9% uptime. Publicly documented.
  • Includes escalation, communication, post-mortems.
  • Annual failover test required.
  • For system health, error rates, latency.

PI: Processing Integrity (Data Accuracy)

  • Unit tests, integration tests, edge case validation.
  • Agents can't process malformed/invalid data.
  • Including who/what/when/why for reproducibility.
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GDPR Compliance Checklist

If your AI agents process personal data of EU residents, you must comply with GDPR. Key obligations:

Data Handling & Privacy

  • Including LLM providers, cloud hosts, vector DB operators.
  • If required, ensure vendor has DPA and data residency controls.
  • Automatic deletion after X days/months unless business reason to retain.
  • Users can request data removal; system purges within 30 days.
  • Users can export their data in machine-readable format.

Consent & Transparency

  • How data flows through the agent, which vendors it reaches, retention periods.
  • Opt-in, not opt-out.
  • Proof user consented at specific date/time.

Data Subject Rights

  • Response within 30 days with copy of their data.
  • Agent accepts update requests.
  • Agent stops all processing for that user.

AI-Specific Requirements (Aug 2026+)

  • Minimal, limited, or high-risk. Most agents are limited/minimal.
  • How it works, training data, bias mitigation, performance metrics.
  • Critical decisions require human review before execution.

HIPAA Compliance Checklist (Healthcare)

If your AI agent handles Protected Health Information (PHI), HIPAA requirements apply. This is strict.

Business Associate Agreement (BAA)

  • LLM providers, cloud hosts, storage, analytics platforms.
  • All organizations that touch PHI documented.

PHI Security & Encryption

  • No exceptions.
  • Use only de-identified data if LLM access is needed. Or use HIPAA-compliant LLM.
  • Prevent accidental PHI exposure on unattended devices.
  • Only authorized personnel, screen locks, no printing PHI, etc.

Audit Controls & Breach Notification

  • Who accessed what, when, from where, why. Retained 6+ years.
  • If PHI is compromised, affected individuals notified within 60 days.
  • For breach detection, containment, notification.
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AI-Specific Guardrails & Safety Controls

Model & Output Safety

  • Sanitize user input, block common attack patterns.
  • Scan responses for social security numbers, credit cards, etc.
  • Flag harmful content before returning to user.
  • Test for performance regression, safety violations, hallucinations.

Tool & Action Controls

  • No privilege escalation; no access to unintended systems.
  • E.g., delete database records, execute financial transfers.
  • Prevents abuse and runaway costs.
  • Alerts when approaching budget, auto-shutdown at limit.

Audit, Monitoring & Testing

Ongoing Monitoring

  • Unusual API calls, failed auth attempts, data exfiltration patterns.
  • Check dependencies for vulnerabilities; prioritize critical patches.
  • Automated code analysis and penetration testing.

Testing & Validation

  • For SOC 2 compliance.
  • By external firm to test real attack scenarios.
  • Full failover to backup infrastructure and data.
  • Simulate breach scenario; test response procedures.

Documentation & Evidence

  • Required for compliance audits.
  • Security awareness, incident response, data handling.
  • For all production changes.
  • Confirm LLM providers, cloud hosts meet your standards.

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