Seal Security
Automate open source vulnerability patching with AI-driven solutions
Target Audience
- Security teams
- DevOps engineers
- Organizations with legacy systems
- Software development managers
Hashtags
Overview
Seal Security uses generative AI to automatically create security patches for open-source software vulnerabilities. It integrates directly into development workflows to fix critical issues without breaking code, saving engineering teams months of work. The solution helps organizations maintain compliance while securing both modern applications and legacy systems.
Key Features
AI-Powered Patching
Generates standalone security patches using generative AI
CI/CD Integration
Audit and fix vulnerabilities directly in development pipelines
Container Security
Patch base images without disrupting operations
Legacy App Support
Secure obsolete code and third-party dependencies
CLI Access
Verify code integrity through command-line interface
Use Cases
Patch legacy applications
Strengthen supply chain security
Secure container deployments
Maintain compliance standards
Reduce vulnerability remediation time
Pros & Cons
Pros
- AI-generated patches prevent breaking changes
- Works with existing tools like Snyk
- CLI integration for developer workflows
- Addresses both direct and transitive dependencies
Cons
- Focuses exclusively on open-source vulnerabilities
- Requires integration into SDLC processes
Frequently Asked Questions
How does Seal Security handle legacy applications?
Provides security patches for obsolete code and third-party dependencies without requiring code changes
Can it integrate with our existing security tools?
Yes, works with Snyk and other tools through APIs/CLI
Does it support containerized environments?
Yes, patches base images and containers without disrupting operations
Integrations
Reviews for Seal Security
Alternatives of Seal Security
Secure AI/ML systems through crowdsourced vulnerability reporting
Secure code with AI-powered vulnerability detection and fixes
Automate vulnerability detection and remediation across IT assets
Secure AI deployments through automated risk detection and compliance