Lasso Security
AI security platform discovering shadow AI usage and governing autonomous agent behavior with an 'Intent Security' model.
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Lasso Security discovers and governs generative-AI usage across an organization, including unsanctioned ‘shadow AI’ tools and employee prompts, and extends that visibility to autonomous AI agents. Its ‘Intent Security’ approach focuses on catching risky or unauthorized actions an AI agent attempts to take, rather than only screening the content of prompts and outputs.
Founded in Tel Aviv in 2023 by Elad Schulman, Ophir Dror, Lior Ziv and Yuval Abadi, Lasso emerged from stealth with a $6 million seed round led by Entree Capital and has since raised roughly $28 million in total funding from investors including Samsung Next and Singtel Innov8. Its differentiator is starting from AI usage discovery — finding the shadow AI tools and prompts an organization doesn’t already know about — before extending governance to agentic AI behavior, rather than beginning solely from model-level guardrails.
As a very early-stage company, Lasso does not yet have significant public analyst recognition or independent efficacy evidence beyond its funding history and founding team’s stated experience.
Innovation Matrix Assessment
Expanded from shadow-AI discovery into agentic-AI intent governance within roughly two years of founding, a reasonable pace for a seed-stage company.
Shadow AI discovery addresses a real, common blind spot for security teams who often don't know which AI tools employees are already using.
Early-stage funding (~$28M total across seed rounds) is modest by cybersecurity standards; scored honestly for a small, young company rather than inflated on potential alone. Recognized in Cyber Defense Media Group's 2026 Global InfoSec Awards (1 award), independently juried industry validation of market traction.
Shadow AI discovery and agent 'intent' monitoring is a sensible response to a real emerging problem but is not yet independently demonstrated as a structurally distinct category from other AI security approaches.
No independent efficacy evidence, named customer case study, or analyst placement was found in this research; scored conservatively as an early-stage claim without third-party validation.
Shadow AI usage and agentic AI governance are widely expected to grow as enterprise AI adoption accelerates, keeping this positioning relevant.
Why CISOs Should Care
Surfaces unsanctioned AI tool usage across an organization that security teams typically have no visibility into today, and extends that visibility to autonomous agent behavior.
What Makes It Different
Starts from discovering ungoverned AI usage across the enterprise, then extends the same visibility model to agentic AI behavior, rather than beginning from model-level content guardrails.
The Matrix Verdict
60/100 — INCREMENTAL INNOVATOR
An Incremental Innovator: Lasso addresses a real and timely problem with a sensible discovery-first approach, but as a small, early-stage company with modest funding and no independent efficacy evidence found, it does not yet meet the bar for a higher tier.
Editorial Note: Claims vs. Verified Findings
Funding figures are drawn from press releases and third-party funding trackers; no independent customer case study or efficacy benchmark was found in this research.
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