FortiphAI / ASE platform
Turn live system evidence into reviewer-ready RMF output.
Automated Security Engineer (ASE) is FortiphAI's evidence-driven Risk Management Framework (RMF) execution platform for teams that need current system truth, maintained compliance posture, and package-ready artifact workflows from one controlled operating path.
FortiphAI brings the company, the platform, and the deployment conversation together for regulated organizations that need one canonical path from evidence intake to Authority to Operate (ATO) outputs, human-in-the-loop assistance, and controlled deployment in air-gapped environments.
Evidence Intake
SCAP, logs, Nessus, telemetry
Operator Model
Human-reviewed drafting and runbooks
Deployment Fit
Controlled and air-gapped environments
Company + platform
FortiphAI delivers ASE as the flagship platform for regulated compliance programs.
Automation posture
Live evidence in, grounded drafts out, reviewer approval before publish.
Why ASE
Stop fighting compliance sprawl.
Traditional RMF work splits evidence, control posture, remediation, and final artifacts across separate systems. ASE is designed to collapse that sprawl into one controlled operating model.
01
Work from current system truth
ASE keeps RMF execution anchored to current boundary, inventory, and evidence context instead of stale spreadsheets, slide decks, and disconnected package folders.
02
Keep human reviewers in control
Assisted drafting can prefill package sections, summarize failed controls, and support POA&M prioritization while reviewers still edit, approve, and publish.
03
Move from findings to guided execution
Scoped runbooks and validation help teams address selected targets, review benchmark posture, and confirm impact without turning remediation into unbounded automation.
Canonical Pipeline
The DF-3 Data Fabric pipeline keeps one defensible path from evidence to artifact.
At the center of ASE is DF-3, FortiphAI's Data Fabric compliance pipeline. It normalizes evidence into maintained control state, keeps traceability intact, and supports artifact-ready outputs without exposing internal implementation details on the public site.
Finding
SCAP, Nessus, logs, manual evidence, and runtime telemetry enter the pipeline.
Control
DF-3, FortiphAI's Data Fabric compliance pipeline, normalizes inputs into current control state.
Evidence
Supporting records stay connected to the posture they inform instead of drifting across separate systems.
Status
Teams operate from a maintained compliance picture instead of a stale point-in-time snapshot.
Artifact
Outputs stay downstream of evidence and state so package generation remains reviewable and consistent.
Deterministic normalization
One canonical path for evidence interpretation instead of parallel compliance logic and conflicting work products.
Full traceability
Compliance posture and output remain tied to the evidence that supports them.
Air-gapped ready
Built for controlled deployment environments where compliance cannot depend on internet-connected tooling.
Framework Alignment
Positioned for regulated programs beyond a single checklist.
ASE is centered on NIST-aligned compliance execution while supporting the evidence discipline, control posture, and package-readiness expectations that matter across adjacent regulated frameworks, assessment programs, and oversight models.
Platform Features
One platform surface for compliance, artifacts, guided remediation, and grounded assistance.
ASE is not a loose collection of separate tools. FortiphAI positions it as one platform with purpose-built workspaces that stay aligned to the same maintained boundary, inventory, evidence, and artifact picture.
Compliance workspace
Review boundary control posture, failure patterns, linked evidence, and current readiness from one maintained source of truth.
Boundary workspace
Keep in-scope systems, crossings, common-control providers, and benchmark readiness aligned to the active authorization boundary.
Inventory workspace
Maintain enrolled-system truth, host identity, agent coverage, OS details, and current system record context in one place.
Artifacts workspace
Track deliverable readiness, review reports, manage package outputs, and move from evidence coverage to publish-ready RMF artifacts.
Runbook workspace
Guide operators through selected-target remediation, benchmark review, and scoped validation instead of broad, opaque change execution.
ASE assistant
Provide grounded help for failed controls, artifact drafting, and package review from current boundary, evidence, and artifact context.
Artifacts and Outputs
Evidence-backed outputs that are ready for package review.
ASE produces the outputs regulated teams actually need, while keeping those artifacts connected to maintained evidence, current boundary context, and human-reviewed package workflows.
SSP
SCTM
PPSM
POA&M
Boundary and data-flow diagrams
Benchmark reports
Draft sections can be prefilled from current posture and artifact context, then reviewed, edited, and approved by human operators before publication.
Assisted Execution
AI help stays grounded, reviewable, and under operator control.
FortiphAI presents ASE as constrained assistance rather than opaque automation: grounded to current boundary and artifact truth, shaped for reviewer approval, and scoped around selected remediation work.
Human-reviewed drafting
Assistive drafting can prefill SSP and related package sections from current boundary and artifact context while keeping reviewers in control of edits, approval, and publish.
Controlled runbooks
Operators move through Linux, Windows, benchmark review, and validation lanes one target at a time instead of relying on broad automations that are hard to verify.
Policy-driven model posture
ASE is positioned for customer-controlled deployments where regulated environments may require U.S.-based open-source and open-weight model options with local control.
FortiphAI
Bring ASE into your RMF and ATO workflow.
FortiphAI works with regulated teams that need a serious platform for evidence-driven RMF execution, controlled deployment, human-reviewed artifact generation, and guided remediation.