THREATIQ
From architecture to a risk position you can defend in a review.
THREATIQ is a threat modeling platform for government and commercial systems. Draw the system once and the platform carries it the whole way: data-flow diagrams with trust boundaries, a STRIDE-per-element walk, a deterministic rules engine that proposes threats, exploitability coupled to FIPS 199 impact on a versioned matrix, and controls traced through to requirements and test evidence. Every Super-Intelligence draft is accepted or rejected by a named human before it enters the model, and the whole chain is recorded in a hash-chained audit trail.
Threat models go stale because they live in a document. THREATIQ keeps the model, the risk, and the evidence in one place.
A system is defined once — its components, assets, and data flows — and becomes a versioned data-flow diagram with explicit trust boundaries. From there the STRIDE workbench walks every element and flow, recording a decision for each applicable category so coverage is measurable rather than asserted. A deterministic rules engine proposes threats from a curated pattern library, and the Super-Intelligence intake wizard drafts the rest; nothing enters the model until a named reviewer accepts it. Risks are scored on exploitability against FIPS 199 impact, pinned to a versioned matrix, and traced through controls, security requirements, and test evidence in a single traceability row. Every create, update, publish, and signature event is written to a hash-chained, append-only log.
Capabilities engineered for operators.
DFD3 notation — external entities, processes, data stores, and trust boundaries — with layered views, auto-layout, snap-to-grid, and a live validation score. Diagrams are versioned and export to PNG, SVG, or print.
Walk every element and data flow and record a STRIDE decision for each applicable category. Coverage is tracked per category and per element, so a reviewer can see exactly where the next pass should go.
A rules-based engine proposes threats from a curated pattern library keyed to the elements and flows in the model. Deterministic output means the same architecture produces the same threats — reviewable and repeatable.
Exploitability is scored against FIPS 199 impact, rated per security objective and reduced to the high water mark, on a versioned risk matrix. High impact is never green: a severe consequence that is merely hard to reach still needs accepting in writing.
Agents draft threats, controls, and intake answers into a review queue. Every proposal is accepted or rejected by a named human, and each invocation records its agent key, prompt version, model, input hash, and latency.
Sequence individual threats into kill chains across Enterprise and ICS tactics, showing how a model composes into a realistic path rather than a flat list of findings.
Security controls drawn from a NIST 800-53 library, each with implementation status and effectiveness, feeding security requirements with a verification method and linked test evidence.
Asset, flow, threat, risk, control, requirement, and test in a single row. The artifact an assessor asks for, generated from the model rather than assembled by hand.
Component registers with CycloneDX SBOM analysis, correlated against KEV and EPSS so the vulnerabilities that are actually being exploited surface against the components in scope.
Immutable baselines bound to a content hash, electronic signatures, and a hash-chained, append-only audit log covering create, update, publish, download, and signature events.
From ingest to delivery — in minutes.
Capture the system, its intended use, components, and assets. Assets are classified by type and class with sensitivity flags that carry through every later calculation.
Build the data-flow diagram with explicit trust boundaries, or let the Super-Intelligence intake wizard draft a first version from a description and refine it in the editor.
Run the deterministic threat engine and walk the STRIDE workbench element by element, so coverage is recorded rather than assumed.
Rate exploitability and FIPS 199 impact per security objective. Risks land on a versioned matrix with pre- and post-mitigation positions and explicit residual acceptance.
Select controls from the NIST 800-53 library, derive security requirements with verification methods, and attach the test evidence that proves them.
Export the traceability matrix, threat model report, and baseline with signatures. The audit trail shows who decided what, when, and on which version.
Proven across the mission.
Authorization Packages
Produce the threat model, risk analysis, control selection, and traceability an authorizing official expects — generated from a live model rather than reassembled for each submission.
System Security Engineering
Engineering teams model a design before it is built, so architectural fixes happen while they are still cheap rather than after an assessment finds them.
Defense Industrial Base
Primes and subcontractors model the systems they deliver and hand a program office traceable evidence of how threats were identified, scored, and controlled.
Commercial Product Security
Product teams run STRIDE on every release, track coverage over time, and keep a defensible record for enterprise customers and regulators.
Third-Party Assessment
Assessors work from the same model as the system owner, reviewing Super-Intelligence drafts and acceptance decisions instead of reconciling spreadsheets.
Continuous Monitoring
SBOM analysis correlated against KEV and EPSS keeps the model current as new vulnerabilities land against components already in scope.
Built on the frameworks assessors already use.
THREATIQ speaks the vocabulary of federal and commercial security engineering, and runs entirely inside your own infrastructure.
Per-element threat identification with measurable category coverage across every element and data flow.
Impact rated per security objective and reduced to a high water mark, coupled to exploitability on a versioned matrix.
Control library organised by family, feeding requirements and verification evidence.
Enterprise and ICS tactics for sequencing threats into realistic attack chains.
Severity, exploit prediction, and known-exploited correlation applied to components in scope.
Component registers with SBOM ingestion and vulnerability correlation per component.
React frontend, Node API, and PostgreSQL inside your own perimeter. No external platform dependency.
Runs disconnected with a local model, so system architecture and risk data never leave the enclave.
Model your system in THREATIQ.
Bring an architecture to a working session with Aegisbyte engineers. Live modeling walkthrough, control-library mapping, and air-gapped deployment discussions available under NDA.