Security & Evidence Governance

SECURITY PROTECTS THE SYSTEM. EVIDENCE GOVERNANCE PROTECTS THE DECISION.

Accentus designs information security and AI governance as part of the same operating architecture.

Our Posture

Secure AI requires more than cybersecurity controls around a language model.

Organizations must also control what information AI can retrieve, what users are authorized to access, how derived intelligence is separated from authoritative information, what evidence supports important outputs, and where human review remains required.

Accentus designs information security and AI governance as part of the same operating architecture.

Evidence Governance

CONTROL WHAT AI CAN SEE BEFORE CONTROLLING WHAT IT CAN SAY.

Retrieval Authorization

Identity, role, sensitivity, permissions, and policy determine what a user or AI service may retrieve — before information enters an AI workflow.

Authoritative vs. Derived

The original record remains authoritative. OCR text, extracted data, summaries, relationships, and AI answers are kept distinct as derived intelligence.

Evidence & Provenance

Important outputs remain linked to the source passages, documents, and context that support them, so conclusions can be checked.

Human Review & Accountability

Workflows define where human review is required and preserve validation results, decisions, and significant actions for audit.

See the Source-to-Decision model →
Frameworks

COMPLIANCE ALIGNMENT.

NIST 800-53 Rev 5

Control Mapping

Control mapping approach supported by implementation statements, SSP sections, and POA&M artifacts generated from infrastructure-as-code.

NIST 800-207 Zero Trust

Architecture-Level

Microsegmentation, least-privilege access, continuous authentication, and encrypted east-west traffic across AI services.

FedRAMP-Aligned Patterns

Design Alignment

Architectures designed with FedRAMP baseline controls in mind and intended to support agency ATO processes. Accentus does not claim FedRAMP authorization.

CMMC 2.0

Alignment

Practices aligned to CUI protection, access control, audit accountability, and incident response expectations for the defense supply chain.

Practices

HOW WE SECURE AI.

→AI interactions logged with tamper-evident audit trails
→Input and output guardrails for AI services
→Output validation against supporting evidence
→SAST/DAST integrated into CI/CD pipelines
→Hardened containers with image scanning
→Severity-based promotion gating across environments
→Encryption at rest (AES-256) and in transit (TLS 1.2+)
→Role-based access control with MFA enforcement
→Automated vulnerability scanning with coordinated remediation
→Infrastructure-as-code with drift detection and compliance checks
Team

CERTIFIED PRACTITIONERS.

AWS Solutions Architect — ProfessionalAWS DevOps Engineer — ProfessionalMicrosoft Azure Data EngineerTOGAF Enterprise ArchitectProfessional Scrum Master

SECURE THE SYSTEM. GOVERN THE DECISION.

Zero Trust, DevSecOps, and evidence governance designed into one architecture.

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