AWS Releases Generally Available AI Security Agent Continuum

Builders evaluating security tooling can test Continuum on their own repositories through the AWS console or API to measure time to first useful pull request. A conditional scenario is a team with a large C codebase that first runs the agent on a staging repository containing known memory issues. If the agent produces passing patches within the 90-minute limit on at least half the tasks, the team records the false-positive rate and integration effort before deciding on wider rollout. The evidence does not establish performance on languages other than C and C++ or on tasks where a specific vulnerability description is supplied in advance.

Operators assessing security spend can review the AWS pricing page and their existing CodeCommit or GitHub usage to estimate per-repository scan costs before enabling the service. A conditional scenario is a security team that first enables Continuum on a single non-production account containing sample repositories, records the number of validated findings versus manual triage time saved, and checks whether any proposed fixes alter production behavior. The supplied evidence does not establish how the service handles repositories outside AWS environments or the retention policy applied to code sent for analysis.