Threat Detection
Cybersecurity statistics about threat detection
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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.
97% of CISOs say they are confident their endpoint protection would detect attacker behavior
12% of CISOs report testing their endpoint protection detection capability within the last three months
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.
Organizations that use more than five disconnected security tools are twice as likely to miss critical threats compared to organizations with an integrated toolset.
79% of organizations are notified of a threat by external third parties such as researchers, customers, or attackers before their own internal detection.
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.
82% of malicious files have unique hashes that traditional pattern-matching fails to detect.
70% of IT and security leaders say they have fully or mostly automated their threat detection and response process.
Security teams rate AI as highly effective for threat detection (61%), identity and access monitoring (56%), and compliance and policy writing (55%).