AWS launches Continuum to find and fix code vulnerabilities at machine speed

Amazon Web Services Inc. today launched AWS Continuum, a security platform that uses frontier artificial intelligence models to discover, validate and remediate software vulnerabilities across a customer’s environment with limited human intervention.

Continuum is seeking to address what AWS describes as a breaking point in enterprise security. The company argues the operating model teams have relied on for the past decade, built around collecting telemetry, storing it and watching dashboards, can no longer keep pace. AWS points to cybersecurity frontier models, including Anthropic PBC’s Claude Mythos, that can now find vulnerabilities and reason through complex attack paths at machine speed, driving an exponentially growing backlog of flaws. Continuum for code vulnerabilities, the platform’s first capability, is available in gated preview.

Continuum is model agnostic, drawing on multiple frontier models depending on which performs best for a given task. The platform reasons over both structured data already in AWS, such as infrastructure, permissions, network topology and code and unstructured data, including a customer’s documents, communications and business priorities. AWS says the system was built on lessons from securing AWS and Amazon.com, which required understanding business context rather than applying generic rules uniformly.