Evidence · Prove · Reuse
Evidence
Security work is only useful when the evidence survives the engagement.
Preserve what was mapped, tested, chained, changed, and retested, then turn the same reviewed evidence into engineering records, control proof, leadership summaries, framework mappings, and buyer-ready artifacts.
Evidence is the durable record behind M.A.D.E. Findings do not disappear into a final PDF. Architecture context, reproduction evidence, Attack Path Analysis outputs, remediation decisions, retest results, control status, caveats, and review state stay connected so the same security truth can support engineering work, release decisions, audits, and enterprise review.
What Evidence makes durable
Engineering evidence
Control evidence
Buyer and governance evidence
Machine-readable evidence
Evidence must survive the move from engineering to decision-making.
Runtime observations, configuration state, findings, retest results, reports, and executive decisions should remain connected rather than becoming disconnected summaries.
Evidence-to-Decision Stack
Executive conclusions remain trustworthy only when they stay traceable to technical evidence and replayable proof.
Layered artifact stack from observed evidence and structured findings through remediation and retest records to technical and executive reporting.
The evidence stack preserves provenance as technical facts move into remediation, customer assurance, procurement, executive reporting, and publication.
Capabilities
One evidence system. Many useful outputs.
Evidence Pack Builder
Turn reviewed scope, architecture context, findings, remediation state, retest results, and approved notes into decision-ready evidence packs for launches, security review, procurement, leadership, and customer assurance.
One Graph, Many Formats
Render the same reviewed evidence into the formats each audience and system needs. Structured findings, engineering exports, framework mappings, Attack Path Analysis artifacts, reports, attestations, and partner-safe outputs should derive from the same underlying evidence rather than being rewritten as separate truths.
Validation Gate
Evidence can be machine-checked without becoming automatically publishable. Deterministic validation catches unsupported identifiers, enrichment, relationships, secrets, and schema problems; human review remains required for customer-facing findings, attestations, and public-safe claims.
Finding-to-Fix Trail
Preserve what was found, what changed, what was retested, what passed, what failed, and what remains accepted risk. Findings stay linked to remediation and retest instead of becoming disconnected report text.
Claim-Readiness Review
Keep internal technical evidence separate from what the organization can safely claim externally. Draft findings, scoped tests, unresolved remediation, and limited evidence should never silently become public assurance language.
Questionnaire Answer Bank
Translate reviewed evidence into reusable enterprise-security answers instead of rebuilding responses deal by deal.
Public-Safe Summaries
Create redacted, scoped summaries that preserve date, coverage, caveats, findings status, and review limits without exposing restricted technical detail.
Human Review Gate
AI-assisted or machine-generated artifacts remain drafts until a named human reviewer approves external use. Human accountability is part of the evidence model, not a disclaimer added afterward.
Every claim needs an explicit state.
Observed, reproduced, grounded, inferred, rejected, and analyst-reviewed are different evidence states and must not be collapsed into one generic label such as validated.
Claim State Boundary
Observed, reproduced, grounded, inferred, rejected, and analyst-reviewed claims must remain visibly distinct.
Diagram showing observations and reproductions, grounded claims, review boundary, explicit inference, rejected claims, and analyst-reviewed publication state.
Explicit claim state prevents machine output, plausible inference, and analyst-approved conclusions from being presented as equivalent evidence. Machine validation is not human approval.
Workbench capabilities and services that produce or consume Evidence
Keep the same truth across every audience.
Evidence Pack / Evidence system
Turn reviewed scope, architecture context, findings, remediation state, retest results, and approved notes into decision-ready evidence packs.
Attack Path Analysis Evidence Trail
Preserve grounded evidence, labeled extensions, validator verdicts, ATT&CK mapping, remediation chokepoints, and analyst-review state.
AI Security Sales Enablement
Buyer-ready answers, evidence packs, safe claims, and review support built from reviewed evidence.
AI Security Program Baseline / Scorecard
Baseline program-level ownership and control gaps so Evidence can point back to durable program records.
AI Control Crosswalk
Map reviewed findings and controls to supported framework language without treating framework mapping as a substitute for technical evidence.
Runtime Trace
Capture and replay prompts, retrieval context, model calls, tool calls, approvals, outputs, and policy decisions so evidence can be verified and preserved.
Code Scanner
Carry AI-native code findings into supported developer, security, evidence, and remediation workflows, including structured outputs such as SARIF where implemented.
RAG Security Testing
Carry retrieval-authorization, corpus-boundary, and XPIA evidence into review and hardening workflows.
Trust Scanner
Review public trust, policy, and evidence-surface artifacts for coherence and scope gaps before buyer review.
AI Security Attestation
Practitioner-authored attestation document after a scoped technical review, covering scope, methodology, findings, controls status, and a signed practitioner statement.
Connect evidence to the frameworks buyers and auditors already use.
Where applicable, reviewed findings and controls can be mapped without treating framework mapping as a substitute for technical evidence.
Who benefits
Engineers
Reproduction, architecture context, remediation guidance, acceptance criteria, and retest evidence.
Security teams
Analyst-reviewed findings, attack paths, risk disposition, control status, and coverage records.
Engineering managers / product leaders
Prioritized backlog, release conditions, ownership, and remediation state.
Leaders / auditors
Scoped risk summaries, control evidence, review state, and traceable decisions.
Customer trust / procurement
Reviewed evidence packs, framework mappings, questionnaire answers, and public-safe assurance language.
Scope limitation
Evidence is not a certification and does not mean a product is vulnerability-free. Every artifact is scoped, dated, and limited to the work actually performed.
MAP
Inventory & Trace
Understand architecture, data paths, trust boundaries, authority, ownership, and evidence gaps.
Open routeATTACK
Test & Validate
Reproduce AI abuse paths and determine which findings form meaningful attack paths.
Open routeDEFEND
Harden & Verify
Change architecture and controls, constrain authority, and verify the original paths no longer succeed.
Open routeEVIDENCE
Prove & Reuse
Preserve findings, attack paths, fixes, retests, control proof, and buyer-ready artifacts.
Open route