Implement a control once.
Answer every framework that asks for it.
Every compliance requirement, in every framework, traces back to a control. Implement it once — with evidence, ownership, and a maturity score — and every framework that references it stays current automatically.
Compliance work multiplies instead of compounding.
Without a control graph, every framework is its own project — even when the underlying control is identical.
Copy-pasted, not connected
The same control description gets typed into ISO 27001, SOC 2, and NIST CSF separately. When it changes, someone has to remember all three places.
Answers go stale silently
A questionnaire answer references a control from six months ago. The control changed since. Nothing tells you the answer is now wrong.
Every audit starts from zero
Without a graph connecting controls to requirements, you can't show an auditor what's already covered — so each engagement re-proves everything.
Built for whoever owns the control library.
One control graph, not one spreadsheet per framework.
SecuryxAI is built on Compliance Atlas™ — a control graph, not a flat requirement checklist. A control's implementation status, evidence, and maturity score exist once, and every framework requirement that references it reads from that same place.
One control. Every framework requirement it satisfies.
Built on the Secure Controls Framework (SCF) — the largest public control baseline. Each control maps to every framework requirement it satisfies, across all 23+ supported frameworks.
93+ AI-governance and security controls from the public SCF catalog
Change a control once — every downstream framework requirement reflects it immediately
Implementation status and maturity score drive framework readiness automatically
Evidence attached to a control is instantly shared with every framework that maps to it
The graph every other product reads from.
Control Graph isn't a standalone tool — it's what the rest of the platform is built on.
Maps to every framework you're pursuing.
Control Graph is framework-agnostic by design — the same controls satisfy all of these, and 23+ in total.
What you actually walk away with.
Control implementation record
Status, maturity score, owner, and narrative — per control, timestamped on every change.
Framework readiness %
Calculated live from real implementation status, not a manually-updated spreadsheet.
Requirement-to-control map
Exactly which controls satisfy which requirement, for any framework — exportable for an auditor.
Fits the control library you already have — or helps you start one.
Control Graph doesn't require ripping out your existing governance process.
Existing control documentation
Import controls you've already written, or start from the public SCF baseline — either way, nothing is thrown out.
Existing compliance programs
If you already hold SOC 2 or ISO 27001, your existing control set maps in directly instead of being rebuilt.
Existing governance teams
Ownership and review workflows match how your team already assigns and tracks control work.
What changes when controls live in one graph.
Map one control across 23+ frameworks
Implement it once; every mapped framework requirement reflects it automatically.
Eliminate spreadsheet tracking
Control status, ownership, and maturity live in one place instead of a shared spreadsheet everyone edits separately.
Improve audit readiness
A live requirement-to-control map means an auditor's first question already has an answer.
Reduce manual re-mapping work
Adding a new framework reuses controls you've already implemented instead of starting over.
A flat control list isn't a control graph.
A control-mapping point tool still leaves the rest disconnected.
Control Graph isn't sold on its own for a reason — it's the foundation the rest of the platform reads from.
One graph, not one tool per function
A standalone control-mapping tool still means separate purchases for evidence, questionnaires, and a trust center — each re-entering the same control data.
Evidence and questionnaires already see it
Implement a control here and Evidence Intelligence and Questionnaire Engine already read from it — a point solution has nothing else to connect to.
One subscription, not a stack of them
A control-mapping tool alone still needs a separate evidence tool, questionnaire tool, and trust center bought and administered on top of it.
Watch a control satisfy six framework requirements at once.
See exactly how one implemented control maps across ISO 42001, NIST AI RMF, EU AI Act, SOC 2, ISO 27001, and NIST CSF.
Full walkthrough coming soon
In the meantime, take the full interactive product tour — the real platform, not a recording.
Build your control library today.
Import your existing controls or start from the SCF baseline. First gap analysis in the same session.