Translating Raw Kernel Telemetry into Actionable MITRE ATT&CK Matrices

The MITRE ATT&CK framework has become the global standard for classifying adversary techniques. However, for most security teams, mapping daily alert volume onto ATT&CK tactics remains a tedious, retrospective exercise.

Security analysts find themselves drowning in isolated alerts: an unrecognized PowerShell command here, an unexpected outbound curl execution there. Without causality correlation, each alert appears low-priority.

CipherMind solves this with an in-memory provenance graph. Every process fork, socket creation, and file write is linked into a directed acyclic graph (DAG) of system activity.

When an anomalous sequence unfolds—such as Discovery (T1082) followed by Credential Dumping (T1003) and Lateral Movement (T1021)—the graph scores the entire chain collectively.

This eliminates 98% of false positives while surfacing genuine multi-stage attacks in real time.