How does automated evidence collection work?
Rashmi Chandrashekar, Chief Operating Officer and APAC Region Lead at DigitalXForce, wrote this page.
DigitalXForce collects evidence by reading it from the systems that enforce each control, instead of asking for screenshots. It connects to the tools an organization already runs through 250+ technology integrations, with X-Connect adapters for security tools and E-Connect adapters for enterprise systems, and it maps each control once to 50+ compliance frameworks, so one piece of evidence serves every framework that shares the control. In DigitalXForce, each control has its own test frequency, set by how fast its evidence can change, and every test result is stored with the evidence it read and a timestamp.
What is the difference between automated evidence collection and automated control testing?
Automated evidence collection reads the record that shows a control operated, such as an access list or a configuration export, and files it against the control. Automated control testing takes one more step: it compares that record with the rule the control sets and returns a pass or a fail, so a person reads results instead of files.
Evidence collected once serves the next audit as well, so audit preparation becomes a review of evidence that already exists. NIST’s guideline SP 800-137 describes continuous monitoring as giving visibility into how well deployed security controls are working, and automated collection is how a team sized for annual reviews keeps that visibility current.
Continuous Control Assurance (CCA) uses evidence, monitoring and validation to determine whether controls continue to operate as expected. Continuous Control Monitoring (CCM) monitors conditions, evidence and signals associated with controls. CCM is a capability within CCA. Automated evidence collection feeds both levels: monitoring reads the evidence, and validation decides whether the control still works. The 15 DigitalXForce modules share one data layer, so a failed control result reaches the compliance view, the posture view and the risk register at the same time.
What has to be in place before you start?
- Each source system needs a connection, such as an API credential or a service account, and the credentials should stay under the organization’s control.
- Each integration should be read-only wherever the source system allows it.
- The organization lists its security and enterprise tools, so the right connectors can be configured for its environment.
- People decide the scope, meaning the frameworks, business units and systems in scope, before collection starts.
- The organization’s own control wording is reconciled to one control library, so each control has one definition that every framework can point to.
- An accurate asset inventory is in place, since evidence can only be read from systems someone knows about. DigitalXForce’s Attack Surface Manager discovers and inventories assets across nine asset classes, IT and OT, without agents and through APIs.
How does it work, step by step?
- Connect each source. X-Connect adapters reach security tools such as identity, endpoint, SIEM and cloud security, and E-Connect adapters reach enterprise systems such as ITSM, HR and ERP. Together they make up the 250+ technology integrations.
- Define the expected evidence for each control. A person decides which system holds the evidence, what state counts as a pass and how often it has to be read. For MFA, the evidence is the identity provider’s enrollment and policy state, and a pass means every account in scope is enrolled.
- Read the evidence on the control’s own schedule. In DigitalXForce, each control has its own frequency, set by how fast its evidence can change, so a cloud configuration is read far more often than a quarterly access review.
- Map each artifact to the controls it satisfies. DigitalXForce maps each control once to every framework requirement it meets across 50+ compliance frameworks, so one artifact serves every framework that shares the control.
- Test the control against the evidence. DigitalXForce runs three assessment modalities: C-Assess tests controls against the requirements of each compliance framework, X-Assess tests security controls against the live state of the security stack, and A-Assess prepares evidence and findings in the form auditors review. Where a document has to be matched to a control, AI JedAI maps documents to controls and frameworks.
- Keep the record. Every test result is stored with the evidence it read and a timestamp, so an auditor sees the history of the control instead of a sample.
- Route the failures. When a control fails validation, the result reaches the compliance view, the posture view and the risk register at the same time, and the control’s owner should work the fix.
What happens to evidence a machine cannot read?
Some controls leave no machine-readable trace. A board’s review of risk appetite, security training delivered in a room, a signed contract clause and a physical access procedure are all examples.
People assess these controls on a review cycle. Each one still needs an owner, a date and a reviewer, and the documents that evidence it should sit in the same record as the automated results. The automated control assessments page describes DigitalXForce’s three assessment modalities.
How do you evidence controls that are not technical?
Controls that people run still leave records in a system, and the test reads that record instead of a screenshot.
| Control | Where the record lives | What the test checks |
|---|---|---|
| New hire onboarding | The HR system holds the start date and the onboarding checklist. | The test checks that the background check and the signed policies are recorded before access is granted. |
| Security awareness training | The training platform holds completion records. | The test checks that every active employee completed training within the period the policy sets. |
| Access removal at departure | The HR system holds the leaving date, and the identity provider holds the account. | The test checks that the account was disabled within the time the policy sets. |
| Vendor reviews | The third-party risk system holds each supplier’s tier and review date. | The test checks that every Tier 1 Critical supplier has a review dated inside its cycle. |
| Policy acknowledgment | The policy system holds each employee’s acknowledgment. | The test checks that every employee acknowledged the current version. |
In DigitalXForce, HR and other enterprise systems connect through E-Connect adapters. A record from a system with no connector should be uploaded once and reviewed by a person on the control’s review cycle.
What does it produce?
- Every tested control carries its results and the evidence behind them, and each result is stored with a timestamp.
- Each result counts toward every framework requirement the control maps to, so one record answers SOC 2, ISO/IEC 27001:2022, NIST CSF 2.0 and the other frameworks in scope together.
- A-Assess prepares evidence and findings in the form auditors review.
- A failed control result reaches the compliance view, the posture view and the risk register at the same time.
- The compliance dashboards show evidence age, so stale evidence shows up instead of counting as a pass.
What does a person decide, and what does the platform automate?
The platform automates the work that repeats. It reads the evidence through the integrations, tests the controls continuously and maps each result once to its frameworks. AI JedAI is the DigitalXForce AI engine that analyzes: it reasons over control evidence and live telemetry, maps documents to controls and frameworks, scores and prioritizes risk, and recommends remediation mapped to framework requirements. XForce GPT is the DigitalXForce generative AI engine that writes: it produces the plain-language risk narratives and board-ready reports, generates policies, standards and plans, and runs the embedded assistant.
People keep the decisions. A person decides what is in scope, which system holds the evidence for each control and what counts as a pass, and a person creates the credentials each integration uses and can revoke them.
An analyst reviews AI output, both AI JedAI’s conclusions and XForce GPT’s drafts, before anyone relies on it, and every conclusion links back to the evidence it used. Any exception should be accepted by a named person with a reason and an expiry date. The audit opinion stays with the auditor.
What are the limitations?
- Collection is as complete as the source and no more. If a tool does not know about an account or an asset, no evidence read from it will either, which is why an accurate asset inventory has to be in place.
- Evidence can go stale. If an integration stops returning evidence, the controls it feeds are measured on older evidence until the connection is restored. An assurance gap is the time, or the set of controls, for which an organization has no current evidence that a control still operates as expected. That is why the compliance dashboards show evidence age.
- Some controls will always need a person, as the section on evidence a machine cannot read explains.
- DigitalXForce is not the right purchase for every company. A startup or small company preparing its first SOC 2 can start with DigitalXForce Lite, which runs the same platform in the cloud with the same functionality and a faster deployment. Automated evidence collection on DigitalXForce fits a regulated organization with many frameworks, many tools and a board that wants a current answer.
Which DigitalXForce modules are involved?
- The AI-Powered Risk Management and Automated GRC module runs the three assessment modalities, tests controls continuously and maps each control once to 50+ compliance frameworks.
- Enterprise Security Risk and Posture Management (ESRPM) is the DigitalXForce module that runs configuration checks, operational insights and deployment benchmarking across IAM, SIEM, cloud, OT and IoT, SecOps and enterprise systems through 250+ technology integrations. It connects to AWS, Azure and GCP accounts and evaluates their configurations directly, and it also takes in findings from CSPM tools and maps them to controls.
- Attack Surface Manager builds the asset inventory the evidence depends on.
- AI-Powered Policy and Compliance Management reviews and generates policies, standards and plans and publishes the results to the controls they govern.
- AI-Powered Third-Party Risk Management scores every supplier from its questionnaire answers, its evidence and external signals.
- A risk operations center is an operating model for continuously measuring, prioritizing and reducing risk, in the way a security operations center handles threats; DigitalXForce’s implementation is X-ROC, the XForce Risk Operations Center. X-ROC is the operations layer of the DigitalXForce TRiSCM platform, where control failures, risk changes and vendor events are alerted, triaged, escalated and reported. Failed controls, posture changes and vendor events reach X-ROC as alerts with the evidence attached, and X-ROC tracks remediation to closure. X-ROC triage ranks alerts by quantified business impact, using cyber risk quantification, not by a severity label alone.
- The page on Continuous Control Monitoring covers how the evidence behind each control is monitored.
- The page on Continuous Control Assurance explains how a control result is validated before anyone relies on it.
- The article on evidence collection and control validation explains where collection ends and validation begins.
- The article on what an assurance gap is explains how to measure one.
- The page on how DigitalXForce third-party risk management works covers supplier evidence.
- The page on how to operationalize Trust, Risk, Security and Compliance Management sets out the order in which a program is built.
- How DigitalXForce works lists the other pages in the knowledge center.
Which integrations and frameworks does it draw on?
Evidence comes from the tool categories below. Each tool named here appears on the integrations page, which has the current list, and the evidence column gives examples of what such a tool holds.
| Category | Example tools | Example evidence |
|---|---|---|
| Identity and access | Okta, Microsoft Entra ID, SailPoint, Saviynt, CyberArk | MFA status, privileged account inventory, role assignments, access review logs |
| Endpoint | CrowdStrike, Microsoft Defender for Endpoint, Sophos Endpoint | Endpoint agent coverage |
| Cloud | AWS, Microsoft Azure, Google Cloud Platform | Encryption status, configuration baselines and hardening |
| SIEM and threat analytics | Splunk, Microsoft Sentinel, IBM QRadar | Log retention, SIEM feed health |
| Vulnerability management | Qualys, Tenable, Nessus, Rapid7 | Patch currency, critical CVE status |
| ITSM | ServiceNow, Jira | Change and incident records |
For cloud accounts, DigitalXForce’s ESRPM module connects to AWS, Azure and GCP accounts and evaluates their configurations directly, and it also takes in findings from CSPM tools and maps them to controls.
The same evidence is mapped once to every framework in scope, across 50+ compliance frameworks, including SOC 2, ISO/IEC 27001:2022, NIST CSF 2.0, PCI DSS v4.0.1, DORA and NYDFS Part 500. The frameworks page shows the most requested ones, and the full list is available on request.
Questions about automated evidence collection
What evidence does DigitalXForce collect automatically?
It reads evidence from the systems that enforce each control through 250+ technology integrations, with X-Connect adapters for security tools such as identity, endpoint, SIEM and cloud security, and E-Connect adapters for enterprise systems such as ITSM, HR and ERP. For AWS, Azure and GCP accounts, it evaluates configurations directly and also takes in findings from CSPM tools.
How often should evidence be collected?
In DigitalXForce, each control has its own test frequency, set by how quickly its evidence can change. A cloud configuration is read far more often than a quarterly access review, and a control with no machine-readable evidence is reviewed by a person on a set cycle.
Can we reuse the same evidence for several frameworks?
You can. Each control is mapped once to every framework requirement it satisfies across 50+ compliance frameworks, so evidence collected for SOC 2 also counts toward ISO/IEC 27001, NIST CSF 2.0 and the other frameworks in scope. It carries over to the next audit as well.
What happens to controls that leave no machine-readable evidence?
A person assesses them on a review cycle, with an owner, a date and the documents that evidence them. AI JedAI maps documents to controls and frameworks, and a person should review the result before anyone relies on it.
Does automated evidence collection replace the auditor?
It does not. It gives the auditor a current record to test, and the audit opinion is still the auditor’s.
What is the difference between automated evidence collection and automated control testing?
Automated evidence collection reads the record that shows a control operated, such as an access list or a configuration export, and files it against the control. Automated control testing takes one more step: it compares that record with the rule the control sets and returns a pass or a fail, so a person reads results instead of files.
How do you automate audit evidence from AWS, Azure, Okta and CrowdStrike?
Connect each one through its API and test the controls its records answer. DigitalXForce’s ESRPM module connects to AWS and Azure accounts, evaluates their configurations directly and also takes in findings from CSPM tools, and Okta, Microsoft Entra ID and CrowdStrike appear among the tools on the integrations page. Each control is mapped once across 50+ compliance frameworks.
How does evidence collection relate to Continuous Control Assurance (CCA)?
Evidence collection supplies what both levels read. Continuous Control Monitoring (CCM) monitors conditions, evidence and signals associated with controls, and Continuous Control Assurance (CCA) uses evidence, monitoring and validation to determine whether controls continue to operate as expected. CCM is a capability within CCA.
Sources
- DigitalXForce defines X-Connect, E-Connect, C-Assess, X-Assess, A-Assess, AI JedAI and ESRPM in its glossary, and it lists the tools named above on its integrations page, both read on 26 September 2026.
- NIST published SP 800-137, Information Security Continuous Monitoring (ISCM) for Federal Information Systems and Organizations, in September 2011, at https://csrc.nist.gov/pubs/sp/800/137/final. It was read on 25 September 2026.
Do this once instead of every audit.
Every step above can be done by hand. DigitalXForce does them continuously, maps the result to 50+ frameworks once, and keeps the evidence current between audits. A 30 minute walkthrough on your own framework set shows what that removes from your calendar.
