49% of SMBs believe AI will be most useful in offering real-time threat response recommendations.

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

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

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

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

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.

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%).

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.

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

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.

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

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

The top five vulnerability management problems they’re actively trying to solve with AI today were: false positives (49%), overload of data (39%), reliance on manual processes (33%), disparate results from scanning tools (31%), and false negatives (31%)

72% of CISOs express the most concern about discovering data used in AI initiatives.

Almost 70% of CISOs/CSOs/CTOs have taken on new data discovery responsibilities, specifically for AI initiatives.