Compliance & Standards

Built For The
Programs That Matter

SentinelForgeAI Systems aligns with every major defense AI compliance framework — addressing the behavioral integrity gap that existing cybersecurity and AI monitoring tools leave open.

The Gap

What Existing Tools
Don't Cover

CMMC secures your boundary. Your AI performance monitor tracks accuracy and latency. Neither addresses behavioral certification — whether your AI system is doing what it is certified to do, continuously, in your operational environment.

// What Existing Tools Cover
CMMC 2.0Cybersecurity compliance boundary — network, access, data handling
AI Performance MonitoringAccuracy, latency, throughput — operational metrics
Vendor AttestationWhat the AI is designed to do under test conditions
⚠ Behavioral Certification GapWhat the AI actually does in your environment — continuously, independently, provably
→
SentinelForge
closes this
←
// What SentinelForge Adds
Behavioral Certification LayerContinuous 1Hz polling against certified baselines · Independent hardware tap · PQC-secured audit trail · NDAA §5949 documentation-ready
Framework Alignment

Compliance Framework Detail

Aligned
NDAA §5949
Foreign AI Risk Mitigation
Section 5949 of the National Defense Authorization Act prohibits covered defense contractors from using certain telecommunications and AI equipment from foreign adversary nations. Compliance requires more than vendor attestation — it requires provable documentation that AI systems behave in accordance with their specifications, independently verified.
How SentinelForge Addresses It
  • Continuous behavioral monitoring detects drift attributable to foreign-origin components
  • Hardware-independent audit trail documents behavioral conformance over time
  • PQC-secured record satisfies provable verification requirements
  • Air-gap deployment available for highest-sensitivity programs
Aligned
CMMC 2.0
AI Behavioral Integrity Gap
CMMC 2.0 establishes the cybersecurity floor for defense subcontractors handling CUI. What it does not address is the behavioral integrity of AI systems operating inside a compliant boundary. As AI integration accelerates across the defense supply chain, this gap is becoming a program risk before it becomes a formal requirement.
How SentinelForge Addresses It
  • Closes the AI behavioral integrity gap inside your CMMC boundary
  • Produces documentation supporting CMMC audit posture for AI-integrated systems
  • Raspberry Pi tap architecture deployable within existing compliance infrastructure
  • Establishes AI behavioral certification before it becomes a mandate
Aligned
DoD AI Trustworthy
Five Properties Framework
The DoD AI Trustworthiness framework defines five properties required for responsible AI use in defense: reliable, secure, explainable, traceable, and governable. SentinelForge's behavioral certification layer directly supports all five — particularly traceability and reliability — through continuous monitoring and a cryptographically secured audit trail.
How SentinelForge Addresses It
  • Reliable: continuous behavioral conformance verification against certified baselines
  • Secure: PQC-secured audit trail with hardware independence
  • Traceable: timestamped behavioral record for every polling interval
  • Governable: real-time anomaly detection supports human oversight requirements
Ready
NIST AI RMF
AI Risk Management Framework
The NIST AI Risk Management Framework provides a voluntary structure for managing AI risk across four functions: GOVERN, MAP, MEASURE, and MANAGE. SentinelForge's behavioral data and audit outputs align directly with the MEASURE and MANAGE functions, providing the continuous measurement capability the framework recommends but does not mandate.
How SentinelForge Addresses It
  • MEASURE: continuous 1Hz behavioral measurement against established baselines
  • MANAGE: real-time anomaly alerts supporting active risk management
  • GOVERN: audit trail supports AI governance documentation requirements
Ready
Post-Quantum
Cryptography
NIST PQC Algorithms
Q-Day — the point at which cryptographically relevant quantum computers can break current public-key encryption — represents an existential threat to audit trails and certification records created today. SentinelForge secures its audit trail with CRYSTALS-Kyber and CRYSTALS-Dilithium, the NIST-selected post-quantum cryptographic algorithms standardized as ML-KEM (FIPS 203) and ML-DSA (FIPS 204).
How SentinelForge Addresses It
  • CRYSTALS-Kyber (ML-KEM / FIPS 203): post-quantum key encapsulation
  • CRYSTALS-Dilithium (ML-DSA / FIPS 204): post-quantum digital signatures
  • Certification records created today remain valid after Q-Day
Compatible
MCP / A2A
Protocols
Agentic AI Systems
As defense AI moves from single-model deployments to multi-agent systems operating on Model Context Protocol (MCP) and Agent-to-Agent (A2A) frameworks, behavioral certification must extend to the agentic layer — monitoring not just what individual models do, but what systems of agents do when operating together under autonomous decision-making authority.
How SentinelForge Addresses It
  • Behavioral certification extends to agentic AI systems on MCP and A2A protocols
  • Multi-agent behavioral baseline establishment and continuous monitoring
  • Audit trail captures agentic decision chains, not just individual model outputs

Get Your Compliance Documentation Package

The 90-day pilot produces a full compliance documentation package including NDAA §5949 verification record and CMMC AI integrity gap report.

Request Pilot →Download Brief