01 — Security Baseline
Represent systems, assets, controls, evidence, and risks as one RMF graph.
Build a structured operating view of compliance state across defense systems.
K-RMF Agent for Defense
AI-assisted cybersecurity risk management for defense compliance and authorization workflows.
Defense compliance agent
Authorize with evidence
Connect system categorization, control selection, implementation evidence, assessment, authorization, and monitoring.
About K-RMF Agent
K-RMF Agent turns compliance work into a supervised security operation.
The agent automates defense cybersecurity risk management workflows: categorization, control mapping, evidence collection, authorization packages, and continuous monitoring.
It is designed for security, compliance, and defense-standard alignment where auditability and human authorization are mandatory.
Capabilities
Built around the defense RMF lifecycle.
02 — Categorization
Classify systems and impact levels with traceable reasoning.
Generate categorization packages from asset inputs and mission context.
03 — Control Selection
Map requirements to control candidates.
Recommend control baselines and implementation tasks with human approval.
04 — Evidence Vault
Collect and package audit evidence.
Preserve scripts, documents, screenshots, logs, and attestations with immutable trace context.
05 — Continuous Monitor
Detect control drift and trigger review.
Connect SIEM and EDR signals to compliance events, tickets, and authorization updates.
Technology
Built for restricted, auditable, and controlled environments.
Air-Gap Ready
Deployment patterns support on-prem and restricted-network environments.
Control Ontology
Assets, risks, controls, evidence, and authorizations are linked as operational objects.
Immutable Audit
Actions are preserved with hash-linked logs and evidence package references.
HITL Authorization
Risk acceptance, exception approval, and authorization are blocked until human review.
Security Bridge
SIEM and EDR integrations support continuous monitoring and control drift detection.
K-RMF Agent in Action
Impact model
-> Faster control mapping and evidence package assembly.
-> Clear authorization state across systems and controls.
-> Continuous monitoring alerts tied directly to RMF artifacts.
Start Building
Bring K-RMF Agent to a security program.
Share your target environment, compliance workflow, and evidence requirements.