AI
Cybersecurity statistics about ai
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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.
70% of organizations say integrating AI tools with legacy systems is difficult, which is up from last year.
Among organizations using AI in the SOC, 57% report faster alert resolution.
56% of financial professionals cite social engineering as a significant tactic powered by AI.
Two-thirds of banks have integrated AI within the past two years.
89% of banks prioritise explainability and transparency in their AI systems.
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).
90% of financial institutions are combating emerging fraud with AI-powered solutions.
Only 8% of financial institutions noted that they do not see GenAI being used by criminals.
Among organizations using AI in the SOC, 50% cite better real-time threat detection.
AI is used for scam detection by 50% of financial institutions.
87% of banks cite data management as their biggest hurdle in AI implementation.
58% of organizations use AI in the Security Operations Centre (SOC).
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
43% of organizations say that AI improved Threat analysis speed.