Hopper is an AI‑driven platform that automatically secures the exact open‑source library versions used by software teams. It continuously scans dependencies for vulnerabilities, generates non‑breaking patches, builds and tests the patched code, and provides verified, evidence‑based remediation without requiring version upgrades or CI/CD changes.
Funding
$7.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
2OFounders
Product
Problem
Software teams rely on open-source libraries that receive frequent updates, but each new version can introduce breaking API changes, regressions, and security vulnerabilities such as CVEs or hidden malware. Evaluating, patching, and retesting these libraries consumes engineering time and creates risk for production systems.
Solution
Hopper provides an AI‑driven platform that automatically secures the exact open-source library versions teams already use. Its autonomous maintenance pipeline continuously scans dependencies for known vulnerabilities and exploit conditions, generates non‑breaking patches, builds and tests the patched code, and verifies that the issue is resolved. The service delivers the patched libraries with full code diffs, build metadata, and test results, allowing security and engineering teams to adopt fixes without changing versions or risking regressions. Hopper’s function‑level reachability analysis filters out up to 93 % of false‑positive alerts, presenting only exploitable findings with root‑cause traceability to the specific file and line. The platform integrates agentlessly with source‑code and artifact repositories, supporting containers, serverless, and on‑prem environments, and provides evidence‑based remediation guidance and performance insights for faster, lower‑cost vulnerability management.
Target Audience
Primary customers are enterprise application security and DevSecOps teams that need precise, low‑noise open‑source risk management across codebases, containers, and AI model assets.
Features
- AI‑powered autonomous pipeline that detects vulnerabilities, creates safe, non‑breaking patches, builds and tests each patched version
- Function‑level reachability analysis that maps vulnerabilities to exact code paths, eliminating up to 93 % of noise
- Evidence‑based findings with root‑cause call graphs, code line references, and exploitability verification
- Agentless, read‑only onboarding that connects directly to Git, container registries, and artifact stores without CI/CD changes
- Comprehensive coverage for open‑source libraries, container images, AI‑generated code, and model assets (AI‑BOMs)
- Cross‑project insight engine that deduplicates alerts and highlights shared vulnerabilities for broader impact remediation
- Integrated remediation workflow with automated triage, prioritization, policy enforcement, and fix‑velocity metrics (SLA, MTTR)
- Extensive integrations with GitHub, GitLab, Bitbucket, Azure DevOps, JFrog, and major container registries