SecEng Prove · Labs
ATLAS · OWASP · NIST AI RMF · ISO 42001 · AI Trust Governance
AI Control Crosswalk
Navigate AI risk across frameworks.
One surface for OWASP LLM Top 10, NIST AI RMF, MITRE ATLAS, and ISO 42001 — with directional mappings, evidence prompts, and scorecard bridges across all four.
AI Trust
Governance
70
MITRE ATLAS
107
OWASP LLM
269
NIST AI RMF
35
ISO 42001
Used during engagements
A public proof surface for SecEng Prove.
Framework browsers
Four frameworks. One evidence-navigation surface.
OWASP LLM Top 10
10 items
Risk categories, attack patterns, and mitigation language for LLM security engineering.
NIST AI RMF
72 items
Govern / Map / Measure / Manage playbook with evidence prompts and scorecard mappings.
ISO 42001 / AIMS
10 items
Derived AI management system readiness browser for evidence collection and gap analysis.
MITRE ATLAS
Adversary tactics, techniques, case studies, Navigator exports, and STIX bundles.
Public snapshot
Crosswalk relationships stay directional and public-safe.
Framework graph
Cross-framework signal stack
Directional mappings connect ATLAS, OWASP, NIST AI RMF, ISO 42001/AIMS, and AI Trust Governance for navigation and evidence planning.
377
mappings
Public-safe rows
Every visible mapping stays on the public side of the boundary.
100% signal
Framework families
ATLAS, OWASP, NIST AI RMF, ISO 42001/AIMS, and AI Trust Governance are represented.
100% signal
Average confidence
Directional crosswalk confidence based on the public mapping corpus.
66% signal
Relation types
The public graph includes mapping, alignment, and scorecard-signal relationships.
100% signal
Claim posture
Directional relationships help users navigate and prioritize. They do not imply certification equivalence or compliance proof.
How to use it
The crosswalk is a public proof surface for Workbench-backed evidence planning, not a spreadsheet export.
Use this to translate between framework language, identify evidence gaps, and prioritize what a client should prove during a Prove-phase engagement.
Claim language stays cautious so the public surface does not overstate equivalence or maturity.
Methodology
The crosswalk uses public metadata and directional mapping logic.
Taxonomy
Framework map
Public framework metadata becomes a browsable map across ATLAS, OWASP, NIST AI RMF, ISO 42001/AIMS, and AI Trust Governance.
Taxonomy
Deterministic first pass
The graph is seeded from public framework metadata, directional crosswalks, and cautious claim language.
Taxonomy
Public signal only
The page supports navigation, cross-reference, and prioritization. It is not a claim of equivalence or compliance.
Crosswalk
Framework relationships and scorecard bridges.
Filter the crosswalk rows, inspect the rationale, and open the source links for the public-safe data trail.
Inspector
Selected mapping
LLM Prompt Injection maps to Prompt Injection. Confidence is directional and public-safe, not a claim of official equivalence.
Source node
AML.T0051
LLM Prompt Injection
Target node
LLM01
Prompt Injection
Rationale
Both address prompt injection against LLM applications, including untrusted instructions influencing model behavior.
Private engagement
Turn framework mapping into governance evidence.
Use these framework maps to scope evidence prompts, maturity gaps, and remediation work across AI governance, security, and product risk. A governance evidence sprint produces artifacts your buyers and board can act on.