Above Security
AI-agent-based insider risk platform that continuously monitors behavior across SaaS, endpoints, and identity systems to detect insider threats and unauthorized AI/agent activity.
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Above Security is an insider-risk detection startup founded by veterans of Israel’s Unit 8200 intelligence branch, built around a set of specialized AI agents rather than a single monolithic detection engine. Its five agents each focus on a distinct insider-risk pattern — unauthorized SaaS/shadow-IT usage, data exfiltration, pre-departure “flight risk” behavior, policy misuse, and communications sentiment — and are designed to surface investigation-ready cases with what the company describes as near-zero false positives, including real-time in-workflow guidance to employees during risky actions.
The company emerged from stealth in 2025 with $50 million in seed funding led by Ballistic Ventures, Merlin Ventures, and Norwest, with participation from Jump Capital and QPV Ventures — a large round for a pre-launch company that reflects strong investor conviction rather than proven market traction. Above was also selected among the top five companies in the 2026 CrowdStrike/AWS/NVIDIA Cybersecurity Startup Accelerator and has built integrations with CrowdStrike and other identity/endpoint platforms, positioning it to address the growing risk of both human insiders and autonomous AI agents operating inside enterprise environments.
Innovation Matrix Assessment
Built a five-agent architecture spanning shadow-IT, exfiltration, flight-risk, misuse, and communications detection within its first year out of stealth.
Addresses insider risk and now AI-agent behavior, an increasingly material blind spot as autonomous agents gain access to enterprise systems.
$50M seed round and selection as a top-5 company in the CrowdStrike/AWS/NVIDIA accelerator signal strong investor and partner confidence for a company this early. Also featured in Cyber Defense Magazine's Innovator Spotlight series, a sister editorial publication, adding real external visibility.
Framing insider risk detection around specialized AI agents, including agentic-AI-specific risk, is a genuinely forward-looking reframing of a long-standing ITDR/insider-threat problem.
Too new to have a public real-world efficacy track record; claims of near-zero false positives are vendor-stated and unverified by third parties.
Insider risk combined with the emerging risk of autonomous AI agents acting inside enterprise systems is a growing, durable concern over the next several years.
Why CISOs Should Care
Extends insider-threat detection to cover both human employees and autonomous AI agents operating with legitimate credentials inside enterprise systems.
What Makes It Different
Purpose-built AI agents for distinct insider-risk patterns (exfiltration, flight risk, shadow IT, misuse, sentiment) rather than a single generic UEBA model.
The Matrix Verdict
63/100 — INCREMENTAL INNOVATOR
A very early-stage but well-capitalized entrant addressing a real and growing problem; Incremental Innovator until real-world efficacy evidence accumulates.
Editorial Note: Claims vs. Verified Findings
Funding amount and accelerator ranking are corroborated by PR Newswire and Ynet; detection-accuracy and false-positive claims are vendor-stated.
Sources
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