Increased responsibility on developers to ensure their code remains vulnerability-free.
Manual processes that produce vulnerability assessments, which are imprecise in their risk and impact analysis.
Too much time spent chasing down false positives.
Little to no time available to manually assess risks because of a lack of automatic and continuous vulnerability scans. Consequently, even the most common vulnerabilities can end up slipping past their notice.
Real-time, continuous runtime application self-protection features for cloud-native applications in preproduction and production environments.
Real-time topology mapping and distributed tracing with code-level analysis that can help precisely identify vulnerabilities in preproduction and production environments, and ensure DevSecOps teams understand each vulnerability’s true impact on the business.
Automatic, continuous discovery and instrumentation that provides complete vulnerability coverage, so that DevSecOps never misses a code change or new deployment.
AI-powered risk and impact analysis and remediation, for continuous visibility into identifying changes, prioritizing alerts, and generating precise answers about the root cause, nature, and severity of any given vulnerability – ensuring that software developers can quickly and effectively remediate each vulnerability.