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.
Related Topics
Showing 9461-9480 of 10000 results
9% of respondents said they had heard about retaile fraud from classmates.
57% of respondents said their organization collaborates with industry peers to improve threat intel.
Finding the right technology vendors and partners of Edge AI is a challenge for 37%.
A staggering 96% of respondents said FWA has negatively impacted citizen trust in their agency and its programs.
39% of respondents believed biometric use should be banned.
In March, Notion accounted for 93% of all blocked generative AI queries, significantly more than the combined number for Microsoft Copilot, SwishApps, Quillbot, and OpenAI.
Only 11% of organizations fully trust AI for mission-critical tasks.
30% of respondents were unsure if collaboration with industry peers to improve threat intel even exists.
Larger businesses (500+ employees) are more aggressive, with 39% reporting significant budget increases in Edge AI compared to 23% of mid-sized organizations (250-500 employees).
Ransomware has dropped to third place of most popular attack types.
The top quantum-related threat, cited by 63% of respondents, is future encryption compromise (the risk that quantum computers could break current or future encryption).
Among younger respondents (~45%), the number of people who would ban biometrics was significant.
LLMs see somewhat less adoption at the edge (47%).
A third (34%) of respondents argued that fraud up to £100 is permissible.
Respondents cited gaps in analytical skills (48%), technology (40%), and budgets (24%) among the limiting factors in fighting FWA.
Among women (~39%), the number of people who would not ban biometrics was significant.
43% of respondents face unrealistic expectations by leadership.
Security risks and data protection concerns represent the biggest Edge AI implementation challenge (42%).
97% expect to use GenAI within the next two years.
Privacy and security (48%) and ensuring their organization uses AI responsibly (43%) were among the top three challenges keeping government fraud fighters up at night