The Digital Operational Resilience Act has applied across the EU since 17 January 2025. Most of the early work went into registers of third-party providers, testing programmes and governance documents. Those matter. Yet supervisors are now moving from reviewing paperwork to asking for evidence, and one question keeps coming up in that shift: when something breaks, how quickly does the institution know, and how much does it actually understand about what broke?

For most banks, insurers and investment firms, the answer depends on the network. Payment flows, trading platforms, customer apps and core banking systems all run across it. When the network is poorly understood, every other resilience control is working with partial information

What Does DORA Actually Ask of the Network?

DORA rarely names specific technologies, which makes Article 10 unusually direct. It requires financial entities to have mechanisms that “promptly detect anomalous activities, including ICT network performance issues and ICT-related incidents, and to identify potential material single points of failure.” The same article says these mechanisms must define alert thresholds, trigger incident response processes, include automatic alerts for the staff responsible, and be tested regularly.

Network performance issues are therefore not treated as an IT housekeeping matter. They sit inside the regulation’s detection requirements alongside security incidents.

Article 8 adds a second expectation. Firms must identify and document their ICT assets and map the links and interdependencies between them, especially for assets that support critical or important functions. A network map that was accurate two years ago, before a cloud migration and a branch refresh, does not meet that standard in any meaningful way.

Why Is the Reporting Clock a Visibility Problem?

Once an ICT incident is classified as major, the initial notification to the competent authority is due within four hours of that classification and no later than 24 hours after the firm became aware of the incident. An intermediate report follows within 72 hours, and a final report with root cause analysis within one month.

The classification itself is where visibility matters most. Under the technical standards that sit beneath DORA, an incident is major only if it affects critical services, and then either causes data loss or crosses at least two further thresholds. Those thresholds cover the share of clients or transactions affected, how long the disruption lasted, how many Member States were touched, and the economic impact.

Each of those is a factual question. Which services degraded? When did the problem start? Which sites, regions or customer segments were affected? A team that learns about an outage from customer complaints, and then spends hours working out which links and devices were involved, starts the 24-hour window with very little evidence. It also risks classifying late, or classifying on guesswork that later has to be corrected in the intermediate report.

A team with continuous network data can answer those questions from records rather than recollection. That changes the classification decision from a debate into a check against thresholds

Where Do Blind Spots Usually Sit in Financial Networks?

Financial networks tend to grow by accumulation. Mergers bring in new data centres, branch estates move to SD-WAN, workloads shift to public cloud, and connections to payment schemes and market data providers are added one by one. Each change can leave a gap in what the monitoring team can see.

Common blind spots include:

• Branch and WAN links that are monitored for up or down status but not for latency, packet loss or saturation, so gradual degradation goes unnoticed until customers feel it.

• Cloud and hybrid paths where on-premises tools stop at the data centre edge and cloud teams watch a separate console.

• Third-party circuits to payment networks, clearing houses and data feeds, where responsibility is shared and nobody watches the whole path.

• Legacy devices in core data centres that were never added to newer tools because they still “just work”.

• Long polling intervals of several minutes that average out short spikes, which are often the first sign of a failing component.

• Siloed tools where device health, traffic flows and topology sit in separate consoles, so nobody sees how a single fault spreads across services.

None of these gaps is unusual. What DORA changes is the cost of leaving them open, because each one is a place where detection, classification and root cause analysis can stall.

What Does Good Network Visibility Look Like Under DORA?

Good visibility is less about the number of dashboards and more about whether the data answers the regulator’s questions quickly. This is where the shift from traditional monitoring to network observability matters. Traditional monitoring tells a team that a device is down or a link is busy. Observability explains why it happened, where it started and which business services it affects, which is the level of understanding DORA’s detection and reporting rules assume.

In practice, that rests on a few capabilities working from the same data.

Automated discovery and topology mapping. Devices, interfaces and the connections between them should be discovered automatically and mapped at Layer 2 and Layer 3, using the protocols the network already speaks, such as CDP and LLDP. A map that redraws itself as the network changes supports the Article 8 mapping duty and exposes single points of failure before they fail.

Dependency-aware correlation. When a core switch fails, dozens of downstream devices raise alerts at once. Correlation based on topology dependencies suppresses the redundant ones and points to the origin, so responders start from the cause rather than the symptoms.

Flow and traffic analysis. Flow data from NetFlow, sFlow, jFlow and IPFIX shows which applications, sites and cloud services are using which paths. Segmenting traffic by application or geography answers two of the classification questions directly: which services were hit, and how widely.

End-to-end path visibility. Tracing traffic hop by hop across WAN, SD-WAN and cloud links shows where latency or loss enters the path, including segments that run through third-party circuits. That closes the gap between what the institution owns and what it depends on.

Baselines and policy-driven alerting. Adaptive thresholds learn how the network normally behaves, so genuine anomalies stand out without flooding staff with alerts. When those alerts link directly into IT service management workflows, the escalation and its timestamps are recorded automatically, which gives the initial notification an evidence trail.

Historical replay for root cause analysis. The final report asks for root cause and lessons learned. The ability to step back through an incident and see the network state at each moment turns that report from reconstruction into review.

For EU institutions, where the data is processed also matters. Monitoring that can run on premises or in a private cloud keeps network telemetry inside the firm’s own control, which sits comfortably with supervisory expectations on data location and third-party dependency.

A network observability platform that brings these capabilities together gives operations and risk teams one shared account of what happened, instead of several partial ones assembled after the fact. Whichever tool an institution chooses, the test is the same: can it show, within minutes, which critical services an incident is touching?

How Should Finance Leaders Frame This at Board Level?

DORA places ultimate responsibility for ICT risk with the management body. That makes network visibility a governance issue as much as a technical one. Boards and risk committees can test their position with a handful of direct questions:

• When a critical service degrades, how do we find out first: our monitoring, our staff or our customers?

• How long does it take today to go from the first alert to a classification decision?

• Can we show which network paths and third-party connections support each critical or important function?

• When did we last test our detection mechanisms, as Article 10 requires, and what did the test reveal?

The answers will say more about genuine resilience than any policy document. For firms still working through the wider framework, this overview of DORA requirements sets out the five pillars and how they connect to day-to-day IT operations.

Resilience Is Proved in the First Hour

DORA is sometimes described as a compliance programme. In practice it is a test of how an institution behaves under pressure, and much of that test happens in the first hour of an incident. Firms that can see their networks clearly will classify faster, report with more confidence and recover with better evidence. Firms that cannot will find that well-written policies offer little help when the clock is already running.

Final Thoughts

The first step to operational resilience under DORA is having full network visibility and proactive risk management. The organizations should always be performing network performance monitoring, network vulnerability assessments and network disruption detection to ensure that network issues don't affect critical business processes. With the adoption of sophisticated network monitoring solutions, financial institutions can boost their cybersecurity measures, enhance incident response capabilities, and adhere to regulatory standards. By prioritizing real-time visibility, automatic notifications, and robust systems, businesses can minimize operational hazards, maintain service reliability, and enhance long-term resilience in the ever-evolving digital landscape.