The compliance problem with AI automation
Every enterprise AI deployment hits the same wall: the security and compliance review. Your team has built a brilliant automation workflow, but before it touches production data, legal needs to know which frameworks apply, InfoSec needs to verify encryption and access controls, and the compliance team needs evidence that policies exist and are enforced.
Most AI automation platforms punt on this. They offer a checkbox for “SOC 2” on their marketing page and call it done. When auditors show up, you’re left building the evidence yourself — writing policies from scratch, mapping controls manually, and hoping nothing falls through the cracks.
JieGou takes a different approach. Compliance is a first-class feature, not an afterthought.
412 policies across 17 domains
JieGou ships with a comprehensive policy library covering every compliance domain your auditors will ask about. These aren’t empty templates — they’re pre-filled, versioned documents mapped to the relevant compliance frameworks.
The 17 compliance domains
| # | Domain | What it covers |
|---|---|---|
| 1 | Information Security | Organizational security program, objectives, and management commitment |
| 2 | Access Control | Authentication, authorization, privilege management, and access reviews |
| 3 | Change Management | Change request processes, impact assessment, approval workflows, and rollback procedures |
| 4 | Incident Response | Detection, escalation, containment, remediation, and post-incident review |
| 5 | Risk Assessment | Risk identification, likelihood/impact scoring, treatment plans, and residual risk tracking |
| 6 | Vendor Management | Third-party risk assessment, due diligence, contractual requirements, and ongoing monitoring |
| 7 | Data Classification | Classification levels, labeling, handling requirements, and declassification criteria |
| 8 | Retention & Disposal | Data retention schedules, legal hold procedures, and secure disposal methods |
| 9 | Acceptable Use | Permitted use of systems, prohibited activities, and enforcement consequences |
| 10 | Business Continuity & DR | Recovery objectives (RPO/RTO), failover procedures, and continuity testing |
| 11 | Asset Management | Hardware/software inventory, ownership, lifecycle tracking, and decommissioning |
| 12 | Encryption | Encryption standards, key management, certificate rotation, and BYOK policies |
| 13 | Logging & Monitoring | Log collection, retention, alerting thresholds, and SIEM integration |
| 14 | Physical Security | Facility access, environmental controls, and visitor management |
| 15 | Employee Security | Background checks, security awareness training, and termination procedures |
| 16 | Privacy | Personal data processing, consent management, DSAR procedures, and cross-border transfers |
| 17 | Remote Work | Remote access requirements, device management, and secure communication standards |
Each domain contains multiple policies — 412 in total. Every policy includes:
- Pre-filled content — Ready to review and customize, not blank templates
- Framework mapping — Which HIPAA, SOX, GDPR, FedRAMP, and PCI-DSS controls each policy satisfies
- Version history — Every change tracked with timestamps and authorship
- Review schedule — Configurable reminders for periodic policy reviews
Terraform-based evaluation scoring
Policies are only useful if you know whether they’re being followed. JieGou’s Terraform-based evaluation engine scores your compliance posture automatically.
How it works
- Policy rules are defined as Terraform-style evaluation criteria
- The engine scans your JieGou configuration — workflows, integrations, access controls, encryption settings, audit log configuration
- Each rule produces a pass/fail/partial result
- Results are aggregated into a compliance score per domain and an overall posture score
What gets evaluated
The evaluation engine checks concrete, observable configuration:
- Access control: Are roles assigned? Are permissions scoped to departments? Is MFA enabled?
- Encryption: Are API keys encrypted with AES-256-GCM? Is BYOK configured? Is TLS enforced?
- Audit logging: Is logging enabled? Are retention policies set? Are all action types captured?
- Data protection: Are PII policies configured? Are redaction rules active?
- Vendor management: Are MCP server credentials encrypted? Are health checks enabled?
- Change management: Are workflow approval gates configured? Is version control active?
The compliance dashboard
Your compliance score is visible at a glance:
- Overall score (e.g., 94/100) with trend over time
- Per-domain breakdown — instantly see which domains need attention
- Failing rules — drill into specific evaluation criteria that didn’t pass
- Remediation guidance — each failing rule includes a description of what to fix
- Export — CSV/JSON/PDF reports for auditor evidence packages
Five compliance frameworks
JieGou maps policies and evaluations to five enterprise compliance frameworks:
| Framework | Focus | Typical industries |
|---|---|---|
| HIPAA | Protected health information | Healthcare, health tech |
| SOX | Financial reporting controls | Public companies, financial services |
| GDPR | Personal data protection | Any company with EU data subjects |
| FedRAMP | Federal cloud security | Government contractors, federal agencies |
| PCI-DSS | Payment card data | E-commerce, payment processing |
Each framework has its own control mapping. When you view a policy, you can see which frameworks it satisfies. When you view a framework, you can see all policies that contribute to it and their current evaluation status.
Why this matters for AI automation specifically
AI automation introduces unique compliance challenges that traditional policy frameworks don’t fully address:
- LLM data exposure: Which data is sent to which LLM provider? Are prompts logged? Can they be audited?
- Multi-provider governance: If you use Claude for one workflow and GPT for another, how do you ensure consistent data handling?
- BYOK (Bring Your Own Key): Enterprise customers need to use their own API keys — encrypted at rest, never exposed in logs
- Approval gates: Certain AI outputs require human review before being sent externally (e.g., customer communications, financial reports)
- Knowledge base access: Who can attach which documents to which workflows? Is knowledge base content classified?
JieGou’s policy library addresses all of these. The 412 policies include AI-specific sections for LLM data handling, prompt logging, model selection governance, and automated output review.
Getting started with compliance
Compliance features are available on the Enterprise plan. Here’s how to activate them:
- Enable the compliance module in Account Settings → Compliance
- Review the policy library — all 412 policies are pre-filled and ready for customization
- Run your first evaluation — the Terraform engine scores your current configuration
- Address gaps — follow the remediation guidance for any failing rules
- Schedule reviews — set up periodic policy reviews and re-evaluations
- Export evidence — generate audit-ready reports for your compliance team
The goal is to reduce the time from “we want to deploy AI automation” to “we passed the compliance review” from months to days. With 412 policies already written, 17 domains already covered, and automated evaluation scoring, the heavy lifting is done for you.