AWS Continuum for code vulnerabilities is now generally available
Summary
- AWS Continuum for code vulnerabilities is now generally available as a security service that finds, validates, and proposes fixes for code vulnerabilities.
- The service confirms which findings are exploitable in a specific environment, ranks issues by business impact, and proposes fixes as automated patches or pull requests.
- Every remediation currently requires human approval before shipping, though future updates will allow automated actions within defined guardrails.
- The system uses frontier AI models to address the challenge of threat actors rapidly creating exploit code and the high volume of scanner findings.
- Continuum builds a context graph from code repositories and AWS environment data to determine network reachability and business criticality.
- The service assigns an evidence level to findings, runs exploits in isolated sandboxes for reproducible issues, and provides blast radius assessments.
- For each confirmed issue, Continuum generates a fix such as a code patch, dependency upgrade, or configuration change and opens it as a pull request.
- Users can connect code sources via GitHub integration or Amazon S3 buckets and optionally add AWS infrastructure context using a collector.
- The console displays validated issues with severity ratings, exploitability status, likelihood, impact, and proof sections including source analysis.
- Generated patches do not automatically fix issues; teams must review and merge pull requests to maintain final control over what ships.
- The service is currently available in US East (N. Virginia) and US West (Oregon) Regions.
- Pricing information is available on the AWS pricing page, and further details can be found on the product page and User Guide.
AWS Continuum for code vulnerabilities is a new security service that uses AI to automatically find, validate, and prioritize code vulnerabilities in your environment, then delivers ready-to-review fixes as pull requests replacing what previously took hours of manual investigation and days of cross-team coordination.
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