AI Threat Detection for Defence Networks
Machine-learning anomaly detection that surfaces adversarial activity across tactical networks in real time.
Working alongside defence partners, NquiringMinds delivered an on-network anomaly-detection capability that identifies adversarial behaviour in real time and explains every alert to the analysts who depend on it.
Features
Models trained on red-team activity flag intrusion patterns long before signatures exist.
Detection runs at the tactical edge, holding up under intermittent or contested connectivity.
Each alert ships with the evidence and reasoning an analyst needs to act with confidence.
Benefits
Mean time to detect drops from hours to seconds, shrinking the window of exposure.
Automated triage lets a small team cover a far larger threat surface.
Customers
Awards
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