Source: OJ L, 2024/1772, 25.6.2024

Current language: EN

Article 5 Data losses


Summary What does Article 5 of the RTS on incident classification say?

This article directly supports the broader incident classification framework established in Article 18(1) of DORA by defining how financial entities should assess the data loss dimension of an incident.

Rather than treating data loss as a single concept, the article breaks it down into four distinct properties of data that must each be considered when evaluating whether an incident has caused harm to data.

Important points:

  • Assess data loss across four properties: availability, authenticity, integrity, and confidentiality.
  • This assessment feeds into the incident classification criteria under Article 18(1) of DORA, making it a key input for determining whether reporting obligations are triggered.
  • The scope covers data belonging to or demanded by the financial entity, its clients, and its counterparts.

Springlex's summary of the article, a reading aid, not a substitute for the legal text.

For the purpose of determining the data losses that the incident entails as referred to in Article 18(1), point (d), of Regulation (EU) 2022/2554, financial entities shall take into account the following:

  1. in relation to the availability of data, whether the incident has rendered the data on demand by the financial entity, its clients or its counterparts temporarily or permanently inaccessible or unusable;

  2. in relation to the authenticity of data, whether the incident has compromised the trustworthiness of the source of data;

  3. in relation to the integrity of data, whether the incident has resulted in non-authorised modification of data that has rendered it inaccurate or incomplete;

  4. in relation to the confidentiality of data, whether the incident has resulted in data having been accessed by or disclosed to an unauthorised party or system.

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