Backslash Security
Cloud-native application security platform unifying code and cloud risk context to prioritize exploitable vulnerabilities and reduce developer alert fatigue.
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Backslash Security provides a cloud-native application security platform combining static application security testing (SAST) and software composition analysis (SCA) with cloud runtime context, aiming to prioritize only the vulnerabilities that are actually exploitable given how the code is deployed and connected in production, rather than flooding developers with every theoretically possible finding. The company describes itself as a “born in the cloud” application security solution built to unify code and cloud risk views from the outset, including automated threat modeling for AI-coding-agent-generated code.
Founded in 2022 and based in Tel Aviv, Israel, Backslash Security has raised $27 million across an $8 million seed round and a $19 million Series A, backed by StageOne Ventures, First Rays Venture Partners, D.E. Shaw & Co., and notable angel investors including former CyberArk CRO Ron Zoran and Microsoft’s Brian Fielder. The company reports deployment across Fortune 100 companies, positioning it in the increasingly competitive cloud-native application protection and AppSec space, where correlating code and cloud risk is becoming a common differentiator rather than a unique one.
Innovation Matrix Assessment
Built code-to-cloud risk correlation and AI-coding-agent-aware threat modeling relatively quickly after founding.
Reduces false-positive fatigue for AppSec teams by prioritizing only vulnerabilities that are actually reachable and exploitable in the deployed environment.
$27M raised across seed and Series A with credible angel investors (ex-CyberArk, Microsoft) shows solid early validation, though the funding scale remains modest.
Unifying code and cloud risk context from the ground up, rather than bolting cloud context onto a legacy SAST/SCA tool, is a genuine architectural differentiator.
Fortune 100 deployment is claimed, but independent, third-party efficacy validation was not found in public sources.
Code-to-cloud risk correlation becomes increasingly necessary as AI-generated code accelerates the volume and speed of application changes reaching production.
Why CISOs Should Care
Cuts through AppSec alert fatigue by correlating code vulnerabilities with actual cloud deployment context, surfacing only what's truly exploitable in production.
What Makes It Different
A unified code-and-cloud risk model built from the ground up as a cloud-native platform, rather than cloud context added onto a legacy SAST/SCA tool.
The Matrix Verdict
60/100 — INCREMENTAL INNOVATOR
A promising, well-backed early-stage AppSec vendor; Incremental-to-Meaningful Innovator given real architectural differentiation but limited independent efficacy evidence.
Editorial Note: Claims vs. Verified Findings
Funding and investor details are corroborated by Calcalist and SecurityWeek; Fortune 100 deployment claims are company-stated.
Sources
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