Threat & malicious-content classification
Text and behavioral classifiers that separate threats from noise at scale.
Threat classification, behavioral anomaly detection and graph-based intrusion analysis — augmented by AI assistants for the SOC.
Text and behavioral classifiers that separate threats from noise at scale.
Graph neural networks that trace attack paths across hosts and identities.
Unsupervised models that flag the abnormal without endless rules.
RAG assistants that summarize alerts and intel with linked evidence.
We'll start with a focused proof-of-value on your data and a baseline you can trust.