2025 Financial Services Government Security 
Data Protection Report
MAY 24, 2024
These principles (the Principles) are: Safety, security and robustness. Accountability and governance. The AI update was published alongside a speech by chief executive Nikhil Rathi announcing the FCA’s plans to focus on Big Tech and Feedback Statement FS24/1 on data asymmetry between Big Tech and firms in financial services.
Thales Cloud Protection & Licensing
APRIL 29, 2024
Comprehensive cybersecurity legislation is imperative to build and maintain confidence in the future and ensure a secure digital landscape. When enforced, the regulation will mandate manufacturers to prioritize security from the design stage and throughout the product's entire lifecycle.
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Data Protection Report
APRIL 23, 2024
He noted that whilst the growing emergence of Big Tech in financial services has already made life easier for consumers, it remains unclear how valuable their data will become in financial markets. The FCA also sets out its next steps.
Collibra
JANUARY 31, 2023
to 181 zettabytes by 2025. By 2025, it’s estimated that 463 exabytes of data will be created every day. Privacy and protection regulations are growing in numerous industries (such as financial services) and geographic regions (including the EU, Australia, California, and Nevada). It’s not just governments.
IBM Big Data Hub
APRIL 11, 2024
A cloud-based infrastructure that uses IBM Cloud® for Financial Services can be the answer to ensure the security, privacy and flexibility needed to keep up with these changes in the industry. Privacy and data security are the primary concerns regarding AI in instant payments transactions.
IT Governance
NOVEMBER 23, 2023
The financial sector is quite heavily regulated, and involves a lot of confidential data. You’d therefore expect that the sector fares better at data security than your average organisation. Perhaps even more concerning to EU lawmakers is how dependent society at large is on banking and other financial services.
Thales Cloud Protection & Licensing
DECEMBER 20, 2023
This strategy addresses security concerns related to intellectual property and sensitive data in large language models (LLMs). This enhances data privacy and security and allows for greater control and efficiency in AI application deployment within the enterprise. This necessitates a shift in cybersecurity strategies.
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