USER & ENTITY BEHAVIOUR ANALYTICS

Your safest employee and your biggest risk can be the same person on a different day.

Like your bank calling when your card is used abroad — not because it's forbidden, but because it isn't like you.

STOPS: THE INSIDER YOU TRUST · THE ACCOUNT THAT STOPS ACTING LIKE ITS OWNER
IN ONE LINE Learn each identity's normal, quantify deviation into one explainable score, let that score act.
THE FEATURES
01
Insider Threat Scoring — one explainable risk level per person.

Low to critical, updating continuously, always traceable to the exact actions that raised it and their weights. Holds up in an investigation or a legal dispute — never an opaque number.

02
Behavioural Baselines — normal is personal.

Each person compared against their own history, not one blanket rule, with off-hours activity weighted heavier. This is what keeps false positives low enough that the team never switches it off.

03
Cross-signal Correlator — three nothings become one something.

A blocked AI paste, unusual hours, an out-of-role access request — three siloed monitors would each shrug. Cyfriq files them as one story about one person, near the top of the list.

04
Risk-based Downstream Controls — the score acts, not just reports.

High risk triggers step-up authentication and tighter data rules on that person's next sensitive action, and exports the signal to the stack you already run — while everyone else's day is completely unaffected.

IN THE REAL WORLD

Three years of 9-to-7. Then bulk downloads at 2am.

An accountant who hasn't logged in after 7pm in three years starts bulk-downloading at 2am. Their risk level climbs on the spot; the next sensitive download is challenged for extra proof; they move to the top of the security team's list — and 2,000 colleagues notice nothing.

See it on your own network.

A 14-day pilot with success criteria you set. First findings in 7 days — yours to keep either way.

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