KELA's platform recorded a 200% increase in mentions of malicious AI tools and tactics in 2024.

82.6% of all phishing emails analysed exhibited some use of AI.

Menlo Security identified nearly 600 incidents of GenAI fraud in 2024.

AI is primarily being used to identify suspicious behavior (63%) across financial and professional services organizations.

Only 20% of financial services professionals believe AI has had a "very positive" effect on their financial crime compliance framework – down from 37% in 2023.

More than 1 in 3 (38%) of security professionals predict that ransomware will become even more dangerous when powered by AI.

44% of financial and professional services organisations use AI for identifying risk signals.

Nearly half of financial and professional services organizations (49%) expect to invest in AI solutions as part of their efforts to tackle financial crime.

54% of financial and professional services organisations use AI for network analysis.

AI is primarily being used to identify suspicious behavior (63%) across financial and professional services organizations.

Over a quarter (27%) of financial and professional services organizations have AI and machine learning as an established part of their financial crime compliance programs, exceeding 2023 levels (24%).

94% of CIOs are actively seeking opportunities to incorporate AI into their business, compared to 89% last year.

86% of CIOs report growing pressure within their organisation to ensure ROI from AI.

Artificial intelligence (AI - 95%), machine learning capabilities (93%), and Internet of Things (IoT - 89%) initiatives are among the most widely adopted emerging technologies over the past 12 months.

Around 45% say that AI is moderately beneficial and they’re starting to note the benefits

21% say they apply AI to security through a mix of vendor-led and internal AI.

Sophisticated threat landscape was the most commonly cited security pain point, named by 60% of respondents

46% of Security Managers/Directors report the lowest confidence in controlling data used for AI training.

A scant 6% reported that AI is detrimental to their security program

Difficulty in tuning, training, and supervising AI was an obstacle to the effective use of AI for 39% of respondents