Clover Security
AI-agent platform that analyzes software architecture and design documents to catch security design flaws before code is written.
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Clover Security builds an AI-agent platform that analyzes software architecture and design documents, the kind stored in Confluence, Jira, GitHub, and similar planning tools, to flag security design flaws before any code is written. That targets a gap traditional SAST and DAST scanning tools structurally cannot address, since those tools analyze committed code rather than architectural intent.
Founded in 2023 by product security veterans Alon Kollmann (CEO) and Or Chen (CPO), Clover is based in Tel Aviv with a security engineering presence in New York. It launched from stealth in late 2025 with $36 million in total disclosed funding across a seed round led by Team8 and a Series A led by Notable Capital, backed by prominent tech executives per SiliconANGLE’s coverage of the raise.
The company’s AI agents integrate directly into developer and planning tools such as Confluence, Jira, GitHub, Cursor, and Slack, and it reports early enterprise adoption across banking, fintech, and enterprise software, including named customers such as Udemy, ServiceTitan, Lemonade, Virgin Money, Plaid, and Notion per company and press disclosure. Its differentiation is analyzing design intent rather than code, addressing threats that emerge from architectural decisions before they’re ever implemented.
Innovation Matrix Assessment
Went from stealth launch to a disclosed $36M in combined seed and Series A funding and named enterprise customers within about two years of founding, indicating fast product and go-to-market execution.
Direct integrations into developer workflow tools such as Confluence, Jira, GitHub, Cursor, and Slack suggest genuine engineering integration depth, though as a 2023-founded company its production track record at scale is still short.
A $36M raise led by Team8 (seed) and Notable Capital (Series A), backed by prominent tech executives per SiliconANGLE, represents strong, recent investor validation for a company barely two years old.
Targets architectural and design-level security review, a gap traditional SAST/DAST and code-scanning AppSec tools don't cover, which is a genuinely differentiated approach, though it is a young company still proving the category at scale.
Named enterprise customers per company and press disclosure provide some evidence of real-world adoption, but no independent third-party evaluation of detection accuracy or false-positive rates was found for a company this new.
As organizations increasingly use AI copilots to generate code faster, catching security flaws at the design stage before code exists addresses a growing and underserved AppSec gap.
Why CISOs Should Care
Catches security design flaws in software architecture before a single line of code is written, addressing a gap that traditional code-scanning AppSec tools structurally cannot cover.
What Makes It Different
Analyzes design documents and architecture diagrams via AI agents integrated into planning tools such as Confluence and Jira, rather than scanning committed code like SAST/DAST tools.
The Matrix Verdict
67/100 — INCREMENTAL INNOVATOR
A well-funded, fast-moving new entrant addressing a real and growing AppSec gap in design-stage review, though still early-stage with limited independent validation beyond disclosed funding and named customers.
Editorial Note: Claims vs. Verified Findings
The $36M funding figure and investor names (Team8, Notable Capital) are independently reported by SiliconANGLE. The named customer list (Udemy, ServiceTitan, Lemonade, Virgin Money, Plaid, Notion) is company/press-disclosed and was not independently confirmed with each customer.
Sources
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