When will major financial companies implement AI Security training?

Over 80% of the largest financial companies plan to implement AI Security training programs in 2026.

Why is AI Security training becoming a priority for fintech firms?

The growing risk of confidential data leaks and difficulties in securing language models are the main drivers for AI Security training.

What are Russian fintech companies' main AI strategies?

Russian fintech companies primarily focus on machine learning and large language models as the core of their AI strategies.

Home / Technology / Fintech Giants Prioritize AI Safety Training

Fintech Giants Prioritize AI Safety Training

16 Dec, 2025

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Summary

Over 80% of top financial firms will launch AI Security training in 2026.
Confidential data leaks and LLM security drive AI training needs.
81% of Russian fintech firms focus on ML and LLMs in AI strategy.

Fintech Giants Prioritize AI Safety Training

The financial sector is gearing up for a significant increase in AI Security training, with over 80% of major companies planning to implement such programs by 2026. This surge in focus is a direct response to growing threats, including sophisticated hacker attacks and the protection of sensitive data used in AI systems.

The research highlights that an overwhelming 88% of respondents intend to enhance staff awareness and training in AI Security. Key concerns driving this initiative include the escalating risk of confidential data leaks and the inherent security challenges presented by advanced language models. Consequently, 75% of firms are developing internal AI Security policies, while many are also integrating protection tools and conducting audits.

Within Russia, 81% of fintech companies identify machine learning and large language models as central to their AI strategies. Alarmingly, over a quarter of these firms have already encountered security incidents targeting their AI systems. Experts emphasize that the evolving threat landscape necessitates a complete overhaul of traditional cybersecurity approaches, advocating for a new security logic that merges cybersecurity principles with risk management and ethical considerations to ensure controllable technological development.