As the UK seeks global leadership in artificial intelligence, navigating new regulatory frameworks is becoming mission-critical for organisations. The EU AI Act and the Digital Operational Resilience Act (DORA) are setting new benchmarks for ethical use, transparency and operational resilience—raising the bar for data governance across sectors.
The EU AI Act focuses on the ethical deployment of AI systems, mandating clear rules around transparency and accountability. DORA, targeting financial services but with broader implications, demands stronger digital resilience in the face of ICT risks. Both frameworks underline the need for organisations to embed governance structures capable of meeting both regulatory scrutiny and real-world performance demands.
To support this transition, experts have developed a seven-step framework to help leaders build robust, trusted data systems. Key actions include improving data quality and traceability, strengthening privacy protocols and developing clear AI governance strategies rooted in ethics and accountability.
For those directly affected by DORA, especially in finance and fintech, preparation involves implementing ICT risk frameworks, regular testing for digital resilience and clear incident reporting protocols. Organisations must also manage third-party risk, foster governance cultures and provide staff with the training needed to make compliance a daily norm rather than a one-off exercise.
Importantly, compliance is not just a regulatory hurdle—it is an opportunity to strengthen organisational trust. Transparent data practices and standardised third-party agreements can help mitigate risk and position businesses as responsible innovators. Security infrastructure must be robust and flexible, ready to evolve with emerging threats and shifting technological landscapes.
With 2025 compliance deadlines approaching, data leaders are being urged to act now. This includes dedicating sufficient resources, maintaining updated cybersecurity protocols and actively engaging with regulatory authorities. A forward-looking compliance strategy that emphasises ethical responsibility and resilience will place UK businesses in a strong position to lead globally.
While the regulatory environment may appear daunting, structured, strategic preparation offers a clear path forward. By embracing compliance as a foundation for innovation and trust, the UK’s AI sector can achieve its ambition to lead responsibly in the next chapter of digital transformation.
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Noah Fact Check Pro
The draft above was created using the information available at the time the story first
emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed
below. The results are intended to help you assess the credibility of the piece and highlight any areas that may
warrant further investigation.
Freshness check
Score:
8
Notes:
The narrative presents a report titled '7 Steps to Prepare for Emerging Data & AI Regulations' by Dr. Fern Halper, published on DBTA's website. The report is dated July 1, 2025, indicating recent publication. However, similar content has appeared in other reputable outlets, such as Informatica's '7 Steps to Establish Trusted Data and Governance' ([informatica.com](https://www.informatica.com/lp/building-trusted-data-and-ai-governance-in-a-regulated-world_5189.html?utm_source=openai)) and ACA Group's '8 Steps CCOs Should Take Now to Prepare for AI Regulation' ([acaglobal.com](https://www.acaglobal.com/industry-insights/8-steps-ccos-should-take-now-prepare-ai-regulation/?utm_source=openai)), both published in 2023. This suggests that while the specific report is new, the core concepts have been discussed previously. Additionally, the report is based on a white paper, which typically warrants a high freshness score. No significant discrepancies in figures, dates, or quotes were found. The narrative does not include updated data but recycles older material, which may justify a higher freshness score but should still be flagged.
Quotes check
Score:
9
Notes:
The narrative does not contain direct quotes. The content is paraphrased from the original white paper, which is common in such reports. No identical quotes appear in earlier material, indicating originality.
Source reliability
Score:
9
Notes:
The narrative originates from Database Trends and Applications (DBTA), a reputable publication in the data management field. The report is authored by Dr. Fern Halper, a recognized expert in data management. This lends credibility to the content.
Plausability check
Score:
8
Notes:
The narrative discusses the importance of understanding evolving regulations like the EU AI Act and DORA, and outlines steps for organizations to build trusted data practices. These topics are consistent with current industry discussions and are covered by other reputable outlets. The language and tone are appropriate for the subject matter. No excessive or off-topic details are present. The tone is formal and aligns with typical corporate language.
Overall assessment
Verdict (FAIL, OPEN, PASS): PASS
Confidence (LOW, MEDIUM, HIGH): HIGH
Summary:
The narrative is a recent report from a reputable source, paraphrasing content from a white paper authored by an expert in the field. While similar content has appeared in other outlets, the specific report is new and original. The content is plausible, with appropriate language and tone, and aligns with current industry discussions.