AI/LLM
Cybersecurity statistics about ai/llm
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70% of organizations say integrating AI tools with legacy systems is difficult, which is up from last year.
58% of organizations use AI in the Security Operations Centre (SOC).
70% of organizations say that AI improved job satisfaction
44% of financial professionals report that deepfakes are used in fraudulent schemes.
87% of banks cite data management as their biggest hurdle in AI implementation.
AI is used for transaction fraud detection by 39% of financial institutions.
51% of organizations say that AI improved SOC team efficiency.
43% of organizations say that AI improved Threat analysis speed.
Insider attacks are up (53% compared to 45% in 2024).
56% of organizations say that AI improved Prioritisation of threats.
52% warn that without pre-emptive AI, attackers will operate at unprecedented speed and scale, evading traditional tools.
Nine in ten banks are already using AI to detect fraud.
59% of financial professionals cite SMS and phishing scams powered by AI to deceive victims.
60% of financial professionals recognise voice cloning as a major concern.
Only 8% of financial institutions noted that they do not see GenAI being used by criminals.
AI is used for anti-money laundering efforts by 30% of financial institutions.
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.
Among SMBs under 25 employees who experienced a cyber incident in the past year, 29% reported ransomware.
50% of SMBs feel overwhelmed by the number of cybersecurity tools on the market.