Above Security raises $50M to redefine insider risk in the age of AI agents
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Use case
Above cuts false positives and surfaces real behavioral risk — so your SOC can stop chasing alerts and focus on high-confidence investigations that win the long game.
After losing to Deep Blue, Kasparov didn't reject AI — he pioneered centaur chess, where humans and AI play together, stronger than either could be alone. The best SOCs work exactly the same way.
False positive volume drops substantially — analysts triage prioritized narratives, not raw alerts.
Mean time to investigate falls from days to hours — and in many cases, to minutes.
Your SOC shifts from reactive to strategic — with high-confidence escalations leadership can trust.
Your SOC has mature telemetry and many alert sources — but limited ability to explain why something matters. Your analysts are sharp, experienced, and overwhelmed. The volume of signals isn't the problem. The absence of a story connecting them is. Sound familiar?
Your SOC receives a flood of signals from multiple tools, but each alert arrives without context — a single move on a board no one can see in full. Manual correlation across identity, HR data, endpoint telemetry, and browser activity is the only path to a narrative. The cost compounds: slow response times, analyst fatigue, and genuine risk hiding in plain sight behind the noise.
01
Above's Arbiter continuously correlates identity, endpoint telemetry, HR context, and browser activity into a single behavioral narrative per user — the most powerful piece on the board, seeing every line at once.
02
The system surfaces users whose sequence of moves matches risky patterns and suppresses single-event alerts with no behavioral context — so analysts open investigations already knowing the story, not starting from scratch.
03
With triage time slashed, your team regains capacity for proactive threat hunting and program tuning — moving from reactive playbook execution to strategic risk reduction.
