Enterprise Security & Compliance
Built for regulated industries. Air-gapped deployment. Zero IP exfiltration.
Security-First Architecture
OutcomeOps was designed from the ground up for Fortune 500 security requirements. Every architectural decision prioritizes data protection and compliance.
Data Privacy
- Deployed on YOUR infrastructure
- No code leaves your network
- Enterprise AI providers only (Bedrock/Azure)
- Zero data retention by AI provider
Encryption Everywhere
- KMS encryption at rest (DynamoDB, S3, SQS)
- TLS 1.2+ for all data in transit
- Secrets in SSM Parameter Store / Secrets Manager
- CloudWatch logs encrypted
Human-in-the-Loop
- All AI output requires PR approval
- 6 automated compliance checks
- Attribution in git history
- Full audit trail in CloudWatch
PII Redaction
- Sensitive data redacted before model invocation
- Enabled by default on every workspace
- Per-workspace opt-out for owners
- Toggle changes recorded in audit log
Compliance Controls
How OutcomeOps implements enterprise AI policy requirements
| Requirement | Technical Control | Status |
|---|---|---|
| No PII in AI prompts | ADR compliance check validates code patterns | Enforced |
| No credentials in code | Git hooks + .gitignore patterns | Enforced |
| Enterprise AI provider | AWS Bedrock / Azure OpenAI (no data retention) | Enforced |
| Regional data residency | Single or multi-region deployment (your choice of regions) | Configurable |
| Human review gate | All AI code creates PR requiring approval | Enforced |
| AI attribution | Co-authored-by footer in all AI commits | Automatic |
| License compliance | PR analyzer scans for GPL/copyleft | Enforced |
| Audit trail | CloudWatch logs with KMS encryption | Enabled |
Multi-Region & Disaster Recovery
Optional active-active deployment across two AWS regions of your choosing. No managed cross-region services, no third-party replication pipeline, no new entries on your SOC 2 / HIPAA sub-processor list.
How it works
- • Lambda dual-writes every DynamoDB and S3 Vector update to both regions before a job acknowledges
- • Two stable per-region endpoints (e.g.
outcomeops1.company-internal.comandoutcomeops2.company-internal.com) on your internal DNS — no Route 53 dependency - • AWS AppConfig per-region flag prevents scheduled jobs from running twice
- • Failover is human-in-the-loop — flip AppConfig and update DNS, or just announce the alternate endpoint over Slack/Teams
RTO & RPO posture
- RPO ≈ 0 for any acknowledged ingestion — both regions have the data before the job completes
- RPO ≈ one ingestion interval (typically 1 hour) on rare asymmetric dual-write failures — next scheduled run reconciles
- RTO ≈ seconds-to-minutes, customer-controlled. A Slack endpoint announcement is near-zero. A DNS A-record flip is bounded by your internal-DNS TTL (5–15 min)
- OutcomeOps personnel are not in the failover path
Why no DynamoDB Global Tables: we deliberately don’t use any managed cross-region AWS service in the data path. The October 2025 us-east-1 event was a reminder that “global” AWS services have regional control planes that can themselves fail. Lambda dual-writes keep the dependency graph short and the second region is the same Terraform — no new managed service to add to your audit scope.
Why Not Consumer AI Tools?
ChatGPT / Claude.ai (Consumer)
- Data retained for training/abuse monitoring
- No regional data residency guarantees
- Consumer terms, not enterprise SLAs
- Prohibited by most enterprise AI policies
GitHub Copilot
- Telemetry shared with Microsoft
- Suggestions from public GitHub (copyright risk)
- No guarantee of private code isolation
- Different risk profile than server-side automation
Ready for a Security Deep Dive?
Schedule a technical briefing with our team to review architecture diagrams, compliance documentation, and deployment options for your environment.