Bynario offers an AI‑driven platform that continuously scans source code, binaries, and container images to detect exploitable vulnerabilities and automatically generates remediation patches. Integrated with CI/CD tools, it provides real‑time risk scoring, compliance mapping, and a role‑based dashboard for audit‑ready reporting.
Funding
Funding not disclosed
Founders
Product
Problem
Modern software development pipelines generate massive codebases where security flaws often go undetected until after deployment, leading to data breaches, compliance penalties, and costly emergency patches. Traditional vulnerability management relies on manual code reviews and periodic scans, which are time‑consuming, error‑prone, and unable to keep pace with rapid release cycles.
Solution
Bynario delivers an AI‑driven platform that continuously scans source code, binaries, and container images to locate exploitable weaknesses and automatically generates remediation patches. The system leverages large‑scale machine‑learning models trained on millions of known vulnerabilities to prioritize risks based on exploitability and business impact. Integrated directly into CI/CD workflows, the platform can apply fixes or suggest pull‑request patches without developer intervention, reducing mean‑time‑to‑remediate. All findings are aggregated in a secure, role‑based dashboard that provides real‑time risk scores, compliance mapping, and audit‑ready reports. By automating the full vulnerability lifecycle—from detection through remediation—Bynario helps organizations maintain a hardened security posture while preserving development velocity.
Target Audience
Primary customers are software engineering and DevSecOps teams at mid‑size to enterprise organizations that manage large, continuously deployed codebases, as well as security operations centers seeking automated, scalable vulnerability remediation.
Features
- Deep learning models for static, dynamic, and binary analysis that identify zero‑day patterns across multiple programming languages
- Automated patch generation with context‑aware code diffs that can be auto‑merged or reviewed via pull‑request hooks
- Native integrations with GitHub, GitLab, Bitbucket, Jenkins, and Argo CD for seamless CI/CD pipeline embedding
- Real‑time risk scoring engine that correlates CVSS metrics with asset criticality and business context
- Centralized compliance mapping to standards such as PCI‑DSS, ISO 27001, and GDPR with exportable audit trails
- Secure, encrypted data handling with role‑based access control and SOC 2‑type logging
- RESTful API and SDKs for custom tooling, enabling programmatic query of vulnerability data and remediation status
- Multi‑tenant SaaS dashboard offering customizable widgets, trend analytics, and alerting via Slack, Teams, or email