Clover Security provides AI‑driven agents that embed into developers' CI/CD pipelines, documentation, and ticketing tools to automatically detect and prioritize security‑relevant design changes. The platform continuously scans design artifacts, generates threat models, and enforces policy‑as‑code guardrails, reducing manual review effort and ensuring compliance across AI‑augmented development.
Funding
Funding not disclosed
Founders
Product
Problem
Product and engineering teams generate a high volume of design changes daily, but security resources are limited, causing many changes to go unchecked. Manual design reviews are slow, repetitive, and often miss design‑to‑code drift, especially as AI‑generated code accelerates development. This results in late security findings, increased risk, and friction between developers and security teams.
Solution
Clover Security delivers AI‑driven, design‑led security agents that embed directly into the tools developers already use—such as CI/CD pipelines, documentation platforms, and ticketing systems. The agents automatically surface security‑relevant changes, run continuous threat‑modeling, and score risks against organizational policies, enabling early detection and prioritization of design flaws. Real‑time guidance and reusable, policy‑driven patterns are presented in‑context, so developers can remediate issues without leaving their workflow. The platform also monitors design‑to‑code drift, ensuring that security requirements captured at design time are faithfully implemented in code. By automating low‑value reviews, security engineers can focus on high‑impact analysis, while developers benefit from consistent, actionable security guardrails. The solution scales with the speed of AI‑assisted development, maintaining compliance and reducing rework across the product lifecycle.
Target Audience
The primary customers are product security teams, security engineers, and developers in mid‑size to large enterprises—particularly in regulated sectors such as finance, healthcare, and SaaS—who need to embed security into fast‑moving, AI‑augmented development pipelines.
Features
- Discovery agent that continuously scans design docs, tickets, and code repositories to surface security‑sensitive changes.
- Design‑review agent that performs autonomous, policy‑aligned reviews of every product change and provides actionable feedback.
- Security‑policy agent that translates organizational standards into enforceable, machine‑readable rules (policy‑as‑code).
- Threat‑modeling agent that auto‑generates application‑level threat models based on current design artifacts.
- Developer‑guidance agent delivering reusable, approved security patterns and instant answers within IDEs, Slack, or Teams.
- Governance agent that tracks adherence, measures coverage metrics, and reports maturity of security activities.
- MCP (Model‑Control‑Plane) agent that enforces guardrails on AI‑generated code and monitors large language model outputs for compliance.
- Vibe‑coding agent that detects misconfigurations and excessive permissions in AI‑assisted development, applying real‑time policy enforcement.
- Seamless integrations with CI/CD tools, Confluence, Jira, Git platforms, and major AI code‑gen services (e.g., GitHub Copilot, Cursor).
- Continuous risk scoring and automated prioritization engine that ranks findings by impact, likelihood, and business context.