Solutions

Four use cases. One platform. Each transforms a manual, months-long process into an automated, continuous workflow.

ATO Acceleration

Before: 12-18 months, $2.4M, 560 hours manual
After: Weeks, automated evidence, continuous monitoring

Generate SSPs, POAMs, STIG checklists, SBOMs, and OSCAL artifacts at build time. Map one NIST 800-53 control and cascade across 30+ frameworks. FedRAMP 20x KSI evidence built in.

  • Dual-hub crosswalk engine (NIST + ISO 27001)
  • Continuous ATO monitoring with freshness scoring
  • OSCAL-native output for eMASS and Xacta
  • FedRAMP, CMMC, CJIS, HIPAA, PCI DSS, SOC 2

DevSecOps Pipeline

Before: Security bolted on after development
After: Security woven into every commit

SAST, dependency audit, secret detection, and container scanning run automatically. Zero Trust architecture scored across 7 pillars. Policy-as-code with Kyverno or OPA.

  • STIG-hardened Docker containers
  • Service mesh generation (Istio/Linkerd)
  • Network segmentation and mTLS
  • Pipeline security gates block on CAT1 findings

Legacy Modernization

Before: Monolith, no documentation, ATO at risk
After: Decomposed, documented, ATO preserved

7R assessment (Retain, Retire, Rehost, Replatform, Refactor, Re-architect, Replace). Strangler fig tracking. Cross-language translation across 30 language pairs.

  • Automated architecture extraction
  • ATO compliance bridge during migration
  • Digital thread maintained through decomposition
  • Version and framework migration (Python 2 to 3, Struts to Spring)

AI Governance

Before: No inventory, no oversight, no accountability
After: Full transparency, model cards, impact assessments

AI inventory per OMB M-25-21. Model cards (Google format). System cards. Fairness assessment. Confabulation detection. CAIO designation and oversight plans.

  • NIST AI RMF, ISO 42001, EU AI Act
  • MITRE ATLAS threat defense
  • OWASP LLM Top 10 + Agentic AI security
  • GAO-21-519SP evidence builder