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Anvilogic
Cybersecurity reports and statistics published by Anvilogic
0 categories1 reports
Recent Statistics & Reports
36% said Streamlining workflows is a detection engineering program area that needs the most improvement.
2/1/2025
88% believe AI will impact detection engineering in the next 3 years. 45% are using AI in their detection engineering efforts today.
2/1/2025
45% said Alert enrichment is a skill that needs development for their detection engineering workforce.
2/1/2025
45% said Reducing false positives is a detection engineering program area that needs the most improvement.
2/1/2025
71% said Resource and time constraints is a challenge of building/maintaining custom detections.
2/1/2025
42% of detections are custom-built, 37% are vendor-provided, and a smaller percentage are from open-source. Only 2% rely solely on vendor-provided detections.
2/1/2025
Most detection engineers fall into the mid-career range.
2/1/2025
67% said Behaviour-based detection type is the most effective.
2/1/2025
67% of detection engineers reported strong leadership buy-in.
2/1/2025
41% said Signature-based detection type is the most effective.
2/1/2025
41% said Lack of skilled personnel is a challenge of building/maintaining custom detections.
2/1/2025
76% said Understanding/mapping attack frameworks is the most valuable skill for their detection engineering workforce.
2/1/2025
43% said Correlation-based detection type is the most effective.
2/1/2025
54% said Lack of flexibility in customisation is a challenge of vendor-provided detections.
2/1/2025
43% of detection engineers are using AI primarily for anomaly detection.
2/1/2025
34% said Anomaly-based detection type is the most effective.
2/1/2025
93% of organisations are using or planning to implement automation in their workflows.
2/1/2025
43% said Improving turnaround time for developing and deploying a detection is a detection engineering program area that needs the most improvement.
2/1/2025
34% said Collaboration between teams is a detection engineering program area that needs the most improvement.
2/1/2025
43% said Threat intelligence-driven detection type is the most effective.
2/1/2025
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