Threat Detection
Cybersecurity statistics about threat detection
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50% of UK organizations lack strong confidence in detecting threats across messaging and social platforms
Top AI use cases for cybersecurity are automating scanning and testing (50%), predictive risk analysis (48%), and threat detection (38%).
44% of security leaders use AI-based solutions for threat detection and fraud prevention.
72% of organizations do not detect credential misuse in real time, often taking hours or sometimes days or weeks to identify unauthorized privileged access.
Only 40% of organizations have adopted malicious package detection.
Anthropic Opus 4.6 found three times more attack flags than Google Gemini 3 Flash in the benchmark.
12% of CISOs report testing their endpoint protection detection capability within the last three months
97% of CISOs say they are confident their endpoint protection would detect attacker behavior
16% of enterprises report high confidence in their ability to detect AI agent-specific threats.
Almost one-third of organizations report extensive AI use across most or all threat detection and incident response activities, up from 25% last year.
44% of enterprises report low or no confidence in their ability to detect AI agent-specific threats.
51% of organizations say AI is effective in reducing the time to detect anomalies or emerging threats.
48% of organizations rate AI as effective in threat detection and hunting for deeper insights and reducing manual workload.
Just over half of organizations now use AI for threat detection and real-time monitoring, up from 46% the prior year.
79% of organizations are notified of a threat by external third parties such as researchers, customers, or attackers before their own internal detection.
Organizations that use more than five disconnected security tools are twice as likely to miss critical threats compared to organizations with an integrated toolset.
53% of organizations say insider attacks are harder to detect than external cyber threats.
SMBs plan to use AI in 2026 for threat detection (39%), incident response (34%), fraud detection (34%), and automated phishing detection (31%).
50.4% of leaders believe threat detection and risk triage will benefit most from AI automation
69% of organizations use more than 10 detection and response tools.