AI-first DevSecOps platform that deploys AI agents to detect and fix vulnerabilities at commit time, automate IL5/FedRAMP/STIG compliance, and generate audit-ready evidence — cutting time-to-ATO by 50%.
Request a DemoDoW development teams discover security issues late in the cycle when fixes are expensive. Manual compliance checks for IL5, STIGs, and CIS benchmarks consume thousands of hours annually. iLAB FAST flips this model — security scanning happens at every commit, AI agents fix problems and submit reviewable merge requests, and compliance evidence is collected continuously.
| Step | What Happens | How It Helps |
|---|---|---|
| 1 | Developer pushes code | AI instantly scans for security issues |
| 2 | Vulnerability found | AI writes the fix and submits it as a merge request |
| 3 | Fix is approved and merged | Security score updates automatically on the dashboard |
| 4 | Compliance check runs | Evidence is collected and stored — no manual work |
| 5 | Leadership checks dashboard | Real-time view of security posture across all projects |
Scans every commit for vulnerabilities, auto-generates fixes, and creates merge requests. SAST, secret detection, dependency scanning, and security anti-pattern detection. Powered by Claude 3.5 Sonnet.
Continuous IL5, STIG, CIS, FedRAMP, and NIST 800-53 validation with automated evidence collection and 1-year retention. Policy-as-code enforcement. Powered by Claude 3.5 Sonnet.
AI-driven CI/CD analysis — build time optimization, failure pattern detection, resource utilization, predictive failure alerting, and caching recommendations. Powered by Amazon Nova Pro.
Real-time threat correlation with NVD, CISA KEV, GuardDuty, and Inspector. CVE correlation, risk prioritization, attack pattern detection, and escalation recommendations. Powered by Claude 3.5 Sonnet.
The Premium Tier adds MCP (Model Context Protocol) orchestration — AI agents share context and collaborate. Includes a ChatOps agent for conversational DevSecOps and IDE integration.
| Metric | Improvement |
|---|---|
| Time to ATO | 50% reduction through automated evidence collection |
| Security findings | 70% detected earlier in development cycle |
| Compliance audit prep | 80% reduction in manual effort |
| Pipeline reliability | 40% fewer failed deployments |
| Developer productivity | 25% increase through AI-assisted remediation |
| Framework | Coverage | Details |
|---|---|---|
| DoW IL5 | Full | Native GovCloud deployment, all data encrypted |
| STIG | Full | Kubernetes, Container, EKS, and OS STIGs |
| CIS Benchmarks | Full | EKS 1.4.0, 100+ controls |
| FedRAMP High | Full | Leverages FedRAMP High authorized AWS services |
| NIST 800-53 | Full | Control mapping and automated evidence collection |
| CMMC Level 2 | Partial | Technical controls automated; process controls need customer input |
| Component | Technology | Purpose |
|---|---|---|
| GitLab CE | EKS (Kubernetes) | Source control, CI/CD pipelines |
| AI Agents | Lambda / ECS Fargate | Event-driven security and compliance analysis |
| MCP Server | ECS Fargate | Multi-agent orchestration (Premium) |
| ArgoCD | Kubernetes (Helm) | GitOps deployment orchestration |
| Evidence Store | S3 + DynamoDB | Compliance evidence and audit artifacts |
| Dashboard | React + Cloudscape | Unified security posture view |
| AI Platform | Amazon Bedrock | LLM inference (Claude, Nova Pro) |
One-command deployment. Config-driven via a single YAML file. Single-tenant isolation. AWS GovCloud compatible. Air-gap ready.
| Tier | Cost | Includes |
|---|---|---|
| Proof of Concept | $600–800 (2 weeks) | Full platform deployed in your environment with real results |
| Base Tier | $4,000–7,000 / month | 4 AI agents, GitLab + ArgoCD, compliance scanning, dashboard |
| Premium Tier | $6,000–10,000 / month | Everything in Base + collaborative AI (MCP), ChatOps, IDE integration |