agentic AI.
We've curated 10000 cybersecurity statistics about Agentic AI to help you understand how autonomous AI systems are revolutionizing threat detection and response in 2025, enhancing security practices while also introducing new risks to navigate.
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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.
AI is used for anti-money laundering efforts by 30% of financial institutions.
Only 8% of financial institutions noted that they do not see GenAI being used by criminals.
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.