PARTNERS

Add selected Workbench capabilities through bounded OEM and partner integrations

V-01

Keep the attack engine. Add the context and evidence plane.

The offensive platform continues generating and chaining attacks while SecEng adds system context, evidence qualification, remediation chokepoints, and structured return.

capability plane

PARTNER PLATFORMExisting offensive platformAttack finding ortraceExisting attackpathReproduction andretest workflowOriginalremediationguidanceSECENG LAYERSecEng context and evidence planeGray-boxsystemcontextIdentity,permission,and authorityGrounded andinferred pathsegmentsIndependentchallenge andvalidationCross-chainremediationchokepointsPARTNER RETURNReturned product resultEvidence-qualifiedattack pathGroundingandinferencelabelsRemediationpriority andchokepointsRetest stateand residualuncertaintyStructuredplatformreturn

About this figure

This capability plane preserves the offensive platform as the engine for generating, chaining, reproducing, and retesting attacks, while adding a AI Security LLC context and evidence plane that qualifies what is observed, what is inferred, and what remains uncertain. The new plane grounds attack traces in gray-box system context, identity, permission, and authority boundaries, then separates evidence-backed path segments from inferred ones so findings can be challenged and validated independently. It also introduces remediation chokepoints that cut across chains, prioritize fixes by leverage and reach, and return structured results to the platform with explicit grounding, residual uncertainty, and retest state. The result is a closed-loop system that keeps attack generation intact while turning raw attack output into evidence-qualified paths, actionable remediation priority, and structured platform return.

Embed in a route

<FigureFromSource sourcePath="content/publications/figures/partners/verno.dsl.md" figureId="V-01" />

Citation

Keep the attack engine. Add the context and evidence plane. (V-01). AI Security LLC Figure Library. https://aisecurity.llc/publication-dsl/figures/V-01