Threat-informed ATO automation for DoD and federal systems. Collects live evidence from infrastructure, generates AI narratives from real data, maps findings to MITRE ATT&CK, and exports submission-ready packages. Weeks, not months.
Request Demo →| Step | Action | Details |
|---|---|---|
| 1. Connect | Evidence adapters connect to your environment | AWS, source code repositories, vulnerability scanners |
| 2. Collect | 170+ artifacts gathered in under 2 minutes | SHA-256 hashes for integrity verification |
| 3. Generate | AI writes control narratives from real evidence | No hallucination — grounded in collected data |
| 4. Export | Submission-ready packages in one click | OSCAL, Word, PDF, eMASS formats |
Adapters connect to AWS services, source repos, and scanners to pull real-time configuration and security data. SHA-256 hashed for tamper-proof integrity.
AI agents write control implementation narratives grounded in actual evidence — no copy-paste templates, no hallucination. Every statement traceable to source.
Maps your system's attack surface to MITRE ATT&CK techniques. Identifies relevant threat actors and prioritizes controls based on real-world adversary behavior.
One-click export to OSCAL, Microsoft Word, PDF, and eMASS-ready formats. Submission-ready packages that assessors expect to see.
Evidence doesn't go stale. Scheduled re-collection keeps your authorization package current and flags drift before it becomes a finding.
Deploys entirely within your AWS VPC. Zero data exfiltration. All AI inference happens via Bedrock in your account. You own everything.
| Framework | Status |
|---|---|
| NIST 800-53 Rev 5 (IL5) | Supported |
| NIST 800-53 Rev 5 (IL4) | Supported |
| FedRAMP High | Supported |
| CMMC Level 2 | Supported |
| NIST 800-171 | Supported |
| Custom Profiles | Configurable |
Writes control implementation statements from collected evidence. Every narrative is grounded in real data with full traceability.
Identifies missing controls, incomplete implementations, and evidence gaps. Provides actionable remediation guidance.
Evaluates residual risk for each control family. Quantifies likelihood and impact based on your specific environment.
Maps your system boundary to MITRE ATT&CK techniques. Shows which adversary TTPs are relevant to your architecture.
Ranks threat actors by relevance to your mission and sector. Focuses defensive resources where they matter most.
Continuously tracks emerging threats, new CVEs, and evolving TTPs relevant to your system's technology stack.
| Aspect | Detail |
|---|---|
| Compute | 100% serverless — AWS Lambda |
| Storage | DynamoDB + S3 |
| Deployment | VPC-deployed, single-tenant |
| AI Platform | Amazon Bedrock (in-VPC inference) |
| Encryption | KMS encryption at rest and in transit |
| Compliance | FIPS 140-2 validated cryptographic modules |