Backline provides an AI-driven remediation platform that integrates with SAST, SCA, and container scanning tools to consolidate and prioritize vulnerability findings. Its autonomous agents generate, test, and package production‑ready patches as pull requests, while a human‑in‑the‑loop workflow handles complex cases, enabling enterprise security and DevSecOps teams to reduce mean time to remediate within a zero‑trust environment.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprise security teams often face large, growing vulnerability backlogs because traditional scanners only identify issues without providing remediation, leading to prolonged exposure and high reliance on developer time to address findings.
Solution
Backline delivers an AI-driven remediation platform that connects to existing vulnerability scanners, consolidates findings, and prioritizes them based on risk and service-level agreements. The system’s autonomous agents automatically generate, test, and package production‑ready patches for code and configuration issues, while a human‑in‑the‑loop workflow handles edge cases that require expert judgment. Remediation output is delivered as ready‑to‑merge pull requests, enabling security teams to maintain control over change management while dramatically reducing mean time to remediate. The platform operates within a zero‑trust network and keeps customer code private, ensuring compliance with enterprise security policies.
Target Audience
The primary customers are enterprise security and DevSecOps teams that manage large vulnerability inventories across cloud, container, and application environments.
Features
- Direct integrations with leading SAST, SCA, and container scanning tools for continuous vulnerability ingestion
- AI “Analyst” agent that contextualizes each finding and assigns risk scores using environment metadata
- “Planner” agent that maps optimal remediation paths respecting SLA constraints and dependency graphs
- “Coder” agent that produces clean, production‑ready code or configuration patches and formats them as pull requests for supported repositories
- “Verifier” agent that executes automated testing and regression checks to validate each fix before delivery
- Human‑in‑the‑loop escalation interface that surfaces only complex or ambiguous cases to security engineers
- Zero‑trust, identity‑based access controls and end‑to‑end encryption for all data exchanges
- Extensible REST and GraphQL APIs, plus dashboard widgets for real‑time remediation metrics and reporting