Close the detection gap your stack cannot see
Modern attacks hide inside normal-looking operations. DeepTempo adds a detection layer that reads behavioral sequences in your logs and telemetry, upstream of the tools you already run.
Three ways traditional detection breaks
Brittle by design
Match known indicators and authored rules, then struggle when timing, infrastructure, or behavior shifts.
Slow drift wins
Flag unusual activity, but gradual misuse and low-volume movement often become part of the baseline.
Not a detection model
Explain and summarize security data, but detection still needs a trained telemetry model with measurable precision.
LogLM learns behavior, not just indicators
LogLM projects groups of log and telemetry records into behavior embeddings and uses MITRE-aligned classifiers to label attacker intent.
LogLM
Homegrown foundation model specialized for logs and operational telemetry.
Vigil
Open source analyst workspace for investigation, playbooks, model routing, and integrations.
SOCBench
Open evaluation framework. Measures precision, recall, MITRE coverage, false positives, cost, and drift.
