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Where AI is delivering value in bank compliance teams
Banks are no longer debating whether artificial intelligence belongs in financial crime and compliance. Instead, they are increasingly focused on how quickly AI can...
The risks of AI-first thinking in regulated compliance
Artificial intelligence has long played a role in regulated financial services, with machine learning, automation and pattern recognition already embedded across many operational systems....
How AI is tackling the resurgence of check fraud
Although paper checks are steadily declining as consumers and businesses adopt faster digital payments, check fraud remains a persistent and costly problem.
In 2024, checks...
How Agentic AI transforms compliance
Agentic AI is emerging as a powerful force in financial crime prevention, aligning the goals of compliance teams and regulators in ways that would...
Sanctions screening in 2026: early insights from compliance teams
Early insights from the 2026 Sanctions, Watchlist & PEP Screening Trends Survey are beginning to take shape, with 149 responses collected so far by...
Why data quality makes or breaks AI
The rapid adoption of AI across financial services has brought an old warning sharply back into focus: “garbage in/garbage out.”
As organisations pour more...
Equixly secures €10m to expand agentic AI API security
Equixly, an Italy-based cybersecurity company focused on automated API security testing, has secured €10m in Series A funding to accelerate the growth of its...
AI agents become the new standard in FCC
AI’s role in financial crime compliance is shifting from hype to hard reality. After years of discussion around machine learning, 2025 became the moment...
Seven countries represented in top 10 European RegTech deals in Q1...
Key European RegTech investment stats in Q1 – Q3 2025:
European RegTech funding grew by 9% YoY
European top 10 RegTech deals saw seven...
The hidden flaws in today’s compliance systems
For years, financial crime compliance followed a predictable formula: rules-based engines flagged suspicious transactions, analysts reviewed alerts, and regulators received reports. That model worked...









