Agentic AI autonomously finds and fixes software supply chain security risks, creating self-healing code and containers.
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Use pre-vetted, open-source software packages, apply fixes to open-source software and benefit from fixes shared by others.
Unify all scanners and have eyes on what is happening in runtime to know if any new issues arise.
Know what is reachable and what isn't so you know what to fix.
Fix what you can, and submit what can't be fixed to let us take care of it for you.
Transform Scan Results into Actionable Fix Plans
Analyzes SBOM and vulnerability data to generate prioritized, contextual fix plans. Considers exploitability, severity, reachability, and effort to drive efficient remediation plans.​
Prevent Build Breaks from Version Conflicts.​
Identifies OSS version mismatches early and flags risky upgrades. Predicts integration issues to ensure smooth, compatible builds.​
Spin Up Fix-Specific Git Branches
Creates a new branch from the correct base with proper naming. Keeps fixes isolated and version control structured for clean development workflows.​
Auto-Apply Fixes to Dependency Files
Edits manifest files to apply recommended fixes, updating versions, configurations, and metadata. Ensures the project follows best practices and resolves identified issues.​
Deliver Ready-to-Review Fixes with Context
Creates a pull request with all the updated changes from a branch, adds a clear description and assigns it to the right reviewers. Makes code review fast, collaborative and secure.​
Track and Manage the Entire Fix Workflow in Jira
Auto-generates Jira tickets with all key details about a fix. Ensures fixes are fully trackable, helping teams manage remediation from start to finish.​
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Leverages the power of Generative AI to search your SBOM in seconds. Get answers to your complex queries in seconds. Your Supply Chain ChatGpt at your fingertips!
Assess applications quickly to generate a compatibility matrix that optimizes, and categorizes fixes based on effort and security level.
Identify unmaintained dependencies with lingering vulnerabilities and risks for extended periods & track these projects for inner sourcing.
Considers severity, exploitability, fixes, compatibility, and dependency location, cutting software maintenance costs by 20%-40%.