DORA is a sector-specific operational resilience framework for financial services and their ICT supply chains. NIS2 is a broader network and information systems security directive, while the EU AI Act governs prohibited and high-risk AI systems. In practice, organisations in scope often need an integrated governance approach so overlapping requirements are consolidated rather than managed in separate silos.
How DORA Differs from NIS2 and the EU AI Act
DORA is the most operationally specific of the three: it is designed for financial entities and focuses on ICT risk management, incident reporting, resilience testing and third-party ICT oversight. NIS2 is broader and sets baseline cyber risk and reporting duties across many essential sectors. The EU AI Act is different again, because it regulates AI systems by risk category, prohibited uses and high-risk obligations.
The practical difference is scope and control style. DORA is built around operational resilience in one sector, NIS2 around cybersecurity governance across critical sectors, and the EU AI Act around product and use-case obligations for AI. An organisation can sit under more than one regime, so the useful question is not which law replaces the others, but which obligations overlap and need one control set.
That overlap is where many programmes go wrong. A financial firm may need DORA for resilience, NIS2-style security controls where applicable, and EU AI Act controls if it deploys or uses regulated AI systems. If those obligations are handled in separate workstreams, the result is duplicated evidence, inconsistent ownership and missed dependencies between technology, risk and legal teams.
Where the Regulatory Boundaries Actually Sit
DORA is sector-specific and supervisory in tone. It expects firms to know their ICT dependencies, manage third-party providers, test resilience and report major incidents on a defined timetable. If you need the official regulatory framing, the EU Digital Operational Resilience Act (DORA) page is the right starting point, and NHIMG’s DORA Guide is useful when you need the operational detail behind the rule set.
NIS2 is wider in sector coverage and more explicitly about baseline network and information systems security. It reaches beyond finance, which means boards and security teams often treat it as the broader cyber governance layer under which sector-specific rules can still sit. The official text on EU NIS2 Directive is the canonical reference, while NHIMG’s NIS2 Directive Guide helps with scope, reporting clocks and risk measures.
The EU AI Act sits in a different category because it is not a general cyber resilience law. It governs AI systems through risk-based obligations, with different expectations for prohibited practices, high-risk use cases and, in some cases, general-purpose AI. The Commission’s EU AI Act regulatory framework is the best official entry point, and NHIMG’s EU AI Act Compliance Guide is the more practical companion when you are translating legal categories into internal controls.
How to Consolidate Overlapping Obligations Without Losing Control
For most organisations, the right move is to build one integrated control inventory and map each control to the regimes it satisfies. That is especially important where the same control supports resilience, incident reporting, supplier oversight and AI governance. NHIMG’s Regulations and Frameworks Guide and Identity Security Regulatory Map both support that single-control, multiple-obligation approach.
In practice, the strongest programmes separate the regimes at the evidence layer, not at the control layer. For example, one incident process may satisfy multiple reporting duties, but the report contents, clocks and recipients can still differ. One third-party risk process may cover supplier oversight across laws, but the due-diligence questions may vary by sector and by whether an AI system is involved.
The same logic applies to AI governance. If an AI system is in scope, keep its inventory, risk classification, human oversight and documentation tied to the rest of your cyber governance model rather than run them as a parallel AI-only exercise. NHIMG’s AI Register and AI Inventory Template is a useful pattern for making those links visible.
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 sets the technical controls, while ISO/IEC 27001:2022 defines the regulatory obligations.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | GV.OC-03 — Cybersecurity Roles, Responsibilities, and Authorities | DORA, NIS2, and AI Act overlap requires clear ownership across regimes. |
| GV.RM-01 — Risk Management Strategy | The question asks how to manage overlapping obligations in one governance model. | |
| GV.SC-01 — Cyber Supply Chain Risk Management Strategy | DORA and NIS2 both materially involve third-party and supply-chain oversight. | |
| Recommendation — Assign clear owners for shared controls and map each to the correct regulatory duty. Define one risk strategy that consolidates DORA, NIS2, and AI Act obligations. Use one supplier-risk process to cover ICT third parties and security dependencies. | ||
| ISO/IEC 27001:2022 | A.5.31 — Legal, statutory, regulatory and contractual requirements | The comparison is about handling multiple regulatory regimes consistently. |
| A.5.36 — Compliance with policies, rules and standards for information security | The answer centers on aligning one control set across different obligations. | |
| Recommendation — Map each control and evidence item to the legal and contractual duties it satisfies. Maintain one compliance control set and record which requirements each control meets. | ||
Practitioner Guidance
What to verify: Confirm whether the business is in scope for one regime, two regimes, or all three, and then trace which controls are genuinely shared. In mixed-scope organisations, the biggest error is assuming that a finance-led DORA programme automatically covers NIS2 or AI Act duties.
Decision rule: If the same operational control satisfies more than one obligation, manage it once and map it many times; if the legal trigger, reporting duty or evidence requirement differs, keep a separate overlay for that rule rather than forcing one generic process to do everything.
What practitioners underestimate: The hard part is usually not control design, but evidence consistency. The closer the overlap between DORA, NIS2 and the EU AI Act, the more important it becomes to keep ownership, scope and attestations aligned so the organisation can prove compliance without duplicating work.
Practitioner takeaway: Treat DORA as a sector resilience regime, NIS2 as a broader cyber baseline, and the EU AI Act as a risk-based AI rule set, then consolidate controls and evidence where they overlap without collapsing the legal distinctions.
Related resources from NHI Mgmt Group
- Guide: Agentic AI Compliance Guide
- Why do prohibited AI practices create such high compliance risk for providers and deployers under the EU AI Act?
- How should organisations operationalize compliance across DORA, NIS 2, and the EU AI Act?
- Why do DORA, NIS 2, and the EU AI Act push teams toward stronger risk classification and reporting?
- What do organisations get wrong when they try to comply with DORA, NIS 2, and the EU AI Act at the same time?
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Reviewed and updated by the NHIMG editorial team on October 31, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org