Above Security is the inaugural sponsor of the Insider Threat Matrix
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Above is a fleet of AI investigative agents that watches user behavior across SaaS, endpoints, and identity — and produces structured investigations your security, HR, and legal teams can act on together.
See a demoAbove runs nine specialised investigative agents in parallel — DLP, job-search, shadow IT, AI conversation, inappropriate use, sentiment, behavioral baseline, sanctions, supply chain — across SaaS, endpoints, identity, and AI tools. The agents converge on a single narrative every time a real pattern surfaces; everything else is dropped without forming an investigation.
Above doesn't fire alerts — it lands investigations. Each is a single coherent narrative: behavioral timeline, contextual analysis, reasoning, recommended actions. Where DLP fires a rule, a SIEM logs a record and UEBA flags a baseline, Above produces the one artifact security, HR, and legal can act on without reconstructing the story themselves.
Not a row in a SIEM queue. Not a notification. A structured investigation — behavioral timeline, contextual analysis, reasoning, recommended actions. Security sees the evidence. HR sees the human context. Legal sees the IP-defensibility record. All three teams act on one shared narrative, with the response calibrated to the pattern instead of the personality.
Most insider risk is recoverable when surfaced early. Above produces targeted guidance for the people involved — a coaching nudge, a process correction, a manager conversation — so the pattern stops before it reaches the breach line. Investigations exist to drive action, not just to land in a SIEM queue.
Security, HR, and Legal each need the same insider-risk narrative — but each needs it in their own form. Above produces one investigation document with role-scoped views: the timeline for SecOps, the conversational summary for HR, the legally precise event log for counsel. No three meetings to reconcile three stories.
UEBA fires on deviation from a baseline. Above’s agents fire on a pattern across time and systems — most of which never deviates from any baseline because each individual action is normal. A leaver downloading their own annual review is normal. Three weeks of patient copy-paste into a folder named “Final Transfer” is normal at every step. The combination is the finding, and the combination is only visible to continuous behavioral reasoning.
A human analyst could, in theory, watch every paste, every export, every OAuth grant, every chat history, every job-board visit, across every employee, every day, for weeks — and connect the patterns. No human team scales to that. Above’s agents are designed for exactly that: the patient, cross-system, cross-time correlation that produces an insider-risk pattern. The analyst gets the finished investigation; the agent does the work that would have been impossible to staff for.
Above’s telemetry is scoped to what the user does on corporate systems and corporate identities — the same surface every existing endpoint and SaaS-audit tool already watches. The difference is what’s done with it. Above reasons over the pattern for an investigation; it doesn’t log keystrokes, it doesn’t track personal accounts, it doesn’t follow users into unmonitored spaces. Full architecture and compliance documentation is available on request.
Above demos run on real telemetry, not slides. You’ll see how an investigation forms, what an agent’s reasoning looks like, and where it would fit in your existing stack.
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