A structured set of governance, technical, and operational controls used to identify, monitor, and reduce risk from information and communication technology. For DORA, it must cover internal systems, third-party dependencies, reporting, and recovery in a way regulators can assess.
Expanded Definition
An ICT Risk Management Framework is the operating model an organisation uses to identify, classify, treat, monitor, and evidence technology risk across infrastructure, applications, data flows, and third-party services. In DORA-aligned environments, it also has to support resilience testing, incident handling, and regulator-ready reporting, not just internal control design. That makes it broader than a traditional security policy and more operational than a general risk register.
Usage in the industry is still evolving because some teams treat the framework as a documentation set, while others treat it as the active control system behind governance, assurance, and remediation. Under DORA, the framework must connect business impact, control ownership, and recovery capability in a way that can be tested and audited. That operational linkage is also reflected in NIST Cybersecurity Framework 2.0, which emphasises governance, protection, detection, response, and recovery as coordinated functions.
The most common misapplication is treating ICT risk management as an annual compliance exercise, which occurs when ownership, asset scope, and issue remediation are not continuously maintained.
Examples and Use Cases
Implementing an ICT Risk Management Framework rigorously often introduces reporting and evidence overhead, requiring organisations to weigh faster operational change against stronger control assurance.
- A bank maps critical payment services, cloud dependencies, and recovery objectives into a single risk register so leadership can see whether control gaps affect regulatory resilience.
- An SaaS provider uses the framework to track vendor concentration risk, then links contract reviews, access controls, and exit plans to third-party service criticality.
- A health technology firm ties incident classification to business services, ensuring cyber events are escalated according to impact rather than only technical severity.
- An enterprise with large NHI sprawl incorporates service accounts, API keys, and automation tokens into its risk inventory, following guidance in the Ultimate Guide to NHIs — Lifecycle Processes for Managing NHIs.
- A security team aligns resilience testing and control evidence with the Ultimate Guide to NHIs — Standards section while referencing DORA reporting expectations during audit preparation.
These use cases are most effective when the framework drives daily decision-making, not just policy approval.
Why It Matters in NHI Security
ICT risk management becomes especially important in NHI security because machine identities often sit outside traditional access review routines, yet they can directly create systemic technology risk. NHIMG research shows that 97% of NHIs carry excessive privileges, and 92% of organisations expose NHIs to third parties, which means a weak ICT framework can quickly become a supply chain and resilience issue rather than a narrow IAM issue. The control problem is not only credential exposure, but also incomplete inventory, weak ownership, and poor recovery discipline.
This is why NHI risk management needs to be visible in governance artefacts, incident handling, and audit evidence, as discussed in Ultimate Guide to NHIs — Regulatory and Audit Perspectives and Ultimate Guide to NHIs — Key Challenges and Risks. The issue is not abstract: once an environment is breached, investigators often discover that service accounts, tokens, and vendor connections were never formally assessed as ICT risk items. Organisations typically encounter the real consequence only after an outage, compromise, or regulator request, at which point the framework becomes operationally unavoidable to address.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
NIST CSF 2.0, NIST Zero Trust (SP 800-207) and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | GV.RM | NIST CSF 2.0 places ICT risk under governance, risk management, and oversight. |
| NIST Zero Trust (SP 800-207) | Zero Trust depends on continuously assessed risk and explicit trust decisions. | |
| NIST AI RMF | AI RMF treats technology risk as measurable, governed, and continuously managed. |
Document, review, and update ICT risk ownership, treatment, and reporting through the governance function.
