Above Security raises $50M to redefine insider risk in the age of AI agents
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Use case
Above identifies patterns of job-search behavior combined with strategic account research — and helps you prevent customer context from leaving your organization entirely.
A master of slow positional squeeze. Karpov never needed a dramatic sacrifice — he just tightened the position, move by move, until his opponent realized they'd already lost.
Leadership can intervene before any information leaves the environment.
Investigation time collapses and customer data stays contained.
Regulatory and reputational incidents avoided through early, evidence-based intervention.
Your organization has standard IR and response playbooks — but no single behavioral narrative across tools. You can detect individual signals. You can't connect them into a coherent picture. Does that sound like your team?
An employee researches competitors, compiles a strategic pitch, and incorporates current customer data. Individually, each action falls within normal bounds. But in chess, a single pawn push is harmless — until you read the sequence and see the queen is three moves away. Taken together, these signals indicate deliberate preparation for a move that risks customer information exfiltration, with no single alert to trigger a response.
01
Above builds a behavioral story: job searches → competitive research → document exports → presentation creation. The sequence makes intent visible where individual signals are invisible.
02
Rather than a blunt policy flag, investigators have a full behavioral narrative — enabling proportionate, defensible action rather than reactive overreach.
03
Above's agents only surface findings when they know your King is in danger. Even when captured actions occur on a corporately managed browser, no human eyes see any activity until intent is derived.
