Detection that starts with context,
not after it

Aleph detects in real time, on events that are already enriched. Rules fire while the event is still in flight, with the user, the device and the environment already attached, so nothing has to be looked up after the fact.

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Rules that fire on
enriched events

The pipeline parses and enriches every event in stream, before anything is stored. Detections inherit that context for free, so a rule sees the user, the device and the environment as they were at the moment the event happened, not whatever is true by the time someone gets round to looking.

An enriched event crossing the rule-evaluation line with its identity, asset and threat context already attached, and below it the same event arriving bare with its context following too late

A full engine,
running in real time

Correlation across sources, behaviour over a time window, suppression and tuning: the depth you expect from a mature detection engine, evaluated while the event is in flight rather than after it has been written down and read back. Real time here means no less capable, not fewer features.

A live event stream entering one detection engine where correlation, sequence, threshold, suppression and tuning all evaluate it in the same pass, producing a single ranked verdict

Less noise,
without losing signal

Enriched events give AI enough context to rank findings by real risk and explain who, what, where and why, so triage time goes to real threats instead of to alerts that were never going anywhere.

A day of 12,480 signals ranked by AI into 12,477 folded with a stated reason and three that need a person

1M+ EPS

Evaluated In Real Time

0

Lookups At Match Time

311

Rules Tuned In A Month

Trusted by teams that need answers.

Stop searching across tools.
Start investigating with context.

Aleph turns your security data into enriched answers, clear investigations, and coordinated action.

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