Shared agentsEnterprise assessment
Critical assets and findings in one scoped assessment
- Assess
// Control evidence
Control reviews builton their evidence.
Organize security-control reviews around supporting records, so teams can see what has been assessed and where evidence needs attention.
Coverage
Every control, mapped and assessed
Controls are mapped to your framework, and you see which have been assessed and which are waiting.
Evidence
Each review backed by its records
Configuration exports, screenshots, test results and attestations sit with the control they support.
Effectiveness
Which controls reduce the most risk
Control maturity is scored by capability, coverage and reliability, and tied to the risk it reduces.
// Overview
What is security control evidence management?
Security control evidence management is the practice of keeping the records that prove each control works, such as configuration exports, test results and attestations, attached to the control, with an owner and a freshness date.
DataObserve S.A.F.E maps your controls to NIST CSF or ISO 27001, keeps every review backed by its records, and scores control effectiveness by capability, coverage and reliability in line with FAIR-CAM, so you can see which controls reduce the most risk.
// How control reviews work
From frameworkto proven controls.
Control library
Map controls to your framework
Upload your NIST CSF or ISO 27001 documentation and have controls mapped automatically.
// Grounded in open standards
Controls oriented to attacker behaviour
FAIR-CAM aligned
Control effectiveness measured, not just checked off.
MITRE ATT&CK
Scenarios mapped to techniques to find critical controls.
NIST CSF and ISO 27001
Your framework, mapped automatically.
Controls center
Live status and maturity for every control.
Evidence freshness
Due dates and owners for every record.
Return on controls
See which investments reduce the most risk.
// Explore more withDataObserve
More from S.A.F.E · Assess
Exposure management
Technical findings tied to the services they affect
- Assess
Cyber risk analysis
Security scenarios framed by business impact
- Understand risk
Third-party risk
Vendor findings linked to the services they support
- Understand risk
// Use cases
Control evidence: use cases
Audit readiness
Answer auditor requests from one place, with evidence current and owned.
Control rationalisation
Find overlapping or weak controls and the gaps that matter most.
Security investment cases
Show which control improvements remove the most risk for the money.
Framework mapping
Map existing controls to NIST CSF or ISO 27001 without rebuilding your library.
// FAQs
Control evidence: questions teams ask
What counts as evidence?
Anything that shows a control works: configuration exports, test results, reports, screenshots and attestations.
How is control effectiveness judged?
By capability, coverage and reliability, and by how much risk the control reduces in your scenarios.
Which frameworks are supported?
NIST CSF and ISO 27001 mappings, with scenarios tied to MITRE ATT&CK techniques.
What is FAIR-CAM?
FAIR-CAM (FAIR Controls Analytics Model) is an open model for measuring how controls affect cyber risk. DataObserve S.A.F.E uses it to score control effectiveness rather than just recording whether a control exists.
How does stale evidence get caught?
Every record carries an owner and a due date. Controls whose evidence is overdue or incomplete rise to the top of their owner's queue.
Can we keep our own control library?
Yes. Upload your existing documentation and the controls are mapped to your chosen framework, keeping your own names and owners.
