Implement once.
Map everywhere.
Every compliance requirement in every framework points back to a control. Implement it once — with evidence, ownership, and maturity — and every framework that references it stays current automatically.
Without a control graph
You copy-paste the same control description into ISO 27001, SOC 2, and NIST CSF separately. When it changes, you update it in three places — and miss one.
Without a control graph
Your vendor questionnaire answers aren't connected to your control library. A policy changes, but questionnaire answers stay stale for months.
Without a control graph
You can't tell which framework requirements are actually covered by the controls you've already implemented. Each audit starts from scratch.
How it works
One control. Every framework that references it.
The SecuryxAI control graph is built on the Secure Controls Framework (SCF) — the largest public control baseline. Each control is mapped to every framework requirement that it satisfies, across all 23+ supported frameworks.
93+ AI-governance and security controls from the public SCF catalog
Bidirectional mapping: change a control → every downstream framework requirement reflects it
Control implementation status (NOT_STARTED / IN_PROGRESS / IMPLEMENTED / N/A) drives framework readiness %
Evidence attached to a control is instantly shared with every framework that maps to it
Control graph — AIG-04
Control · SCF
AIG-04 · AI Risk Management Policy
IMPLEMENTED · Maturity 4/5 · 3 evidence files
ISO 42001 §6.1NIST AI RMF GOVERN 1.1EU AI Act Art. 9SOC 2 CC3.2ISO 27001 A.6.3NIST CSF ID.GV-1
93+controls in the library
23+supported frameworks
1×implement, answer everywhere
0copy-paste required
Build your control library today.
Import your existing controls or start from the SCF baseline. First gap analysis in the same session.