AI
We've curated 1475 cybersecurity statistics about AI to help you understand how machine learning algorithms, automated threat detection, and AI-driven defenses are shaping the landscape of cybersecurity in 2025.
Showing 1161-1180 of 1475 results
60% of financial professionals recognise voice cloning as a major concern.
59% of financial professionals cite SMS and phishing scams powered by AI to deceive victims.
Nine in ten banks are already using AI to detect fraud.
53% of organizations report reaching full or mature AI adoption stages, which is up from 47% in 2024.
More than 50% of fraud is driven by artificial intelligence and hyper-realistic impersonations.
52% warn that without pre-emptive AI, attackers will operate at unprecedented speed and scale, evading traditional tools.
56% of organizations say that AI improved Prioritisation of threats.
Insider attacks are up (53% compared to 45% in 2024).
43% of organizations say that AI improved Threat analysis speed.
Two-thirds of banks have integrated AI within the past two years.
51% of organizations say that AI improved SOC team efficiency.
AI is used for anti-money laundering efforts by 30% of financial institutions.
AI is used for transaction fraud detection by 39% of financial institutions.
AI is used for scam detection by 50% of financial institutions.
Among organizations using AI in the SOC, 55% say AI frees up analyst bandwidth.
92% of the financial institutions surveyed indicate that fraudsters use generative AI.
Forty-three percent (43%) of financial professionals report increased efficiency within fraud teams due to AI
87% of banks cite data management as their biggest hurdle in AI implementation.
59% cite a lack of internal expertise to validate AI vendor claims, which is also up from last year.
70% of organizations say that AI improved job satisfaction