AI SCA
Security Testing Agent's SCA adds reachability analysis and EPSS scoring to your open source risk detection. Most vulnerabilities aren't exploitable — fix the ones that actually put you at risk.
Too many CVEs to fix
Hundreds of open CVEs with no clear way to tell which ones actually matter.
Prioritize what matters
EPSS scores and reachability analysis cut noise to the findings that actually matter.
Vulnerabilities only
Traditional SCA finds CVEs, not malicious packages or supply chain attacks.
Full open source risk
Detect malicious packages, license violations, and transitive dependencies.
Remediating is still hard
Every SCA tool shows you vulnerabilities, but few help you fix them.
Remediation Agent fixes it for you
Remediation Agent opens PRs with validated fixes. Developers just have to approve.
EPSS scoring. Prioritize findings based on the likelihood of a vulnerability being exploited in the next 30 days.
Static reachability. Identify vulnerabilities in open source functions or methods your code actually calls, and therefore exploitable.
Runtime reachability. Correlate findings with runtime context to prioritize remediation based on real-world, observed risk.
Malicious packages. Alert on OSS packages with intentionally injected malicious code, like LiteLLM, Axios, and XZ Utils.
Direct and transitive dependencies. Scan every dependency in your tree, including hidden transitive ones that your dependencies silently pull in.
License compliance. Use OSS safely by identifying license violations and incompatibilities before they reach production and create legal exposure.
Auto-PR. Remediation Agent automatically opens PRs with safe, context-aware fixes for your most critical dependencies. Just review and merge.
Contextual fixes. Get suggested fixes based on application context, not just the next patched version.
Pipeline enforcement. Define policies that automatically block unsafe dependencies from reaching production, enforced across every pipeline.
Know which vulnerabilities actually need fixing and which ones don't.
Get fix suggestions that consider how your application works, not just the vulnerability.
Remediation Agent opens the PR. All you have to do is review and merge.
Software Composition Analysis (SCA) is a security testing methodology that identifies and analyzes open source components, third-party libraries, and dependencies in your applications. SCA tools scan codebases to create component inventories, detect known vulnerabilities, check license compliance, and provide remediation guidance by continuously monitoring the software supply chain.
Dependency scanning analyzes build files and package manifests to identify all direct and transitive dependencies. The scanner reads configuration files like package.json and pom.xml, then cross-references each component against vulnerability databases (NVD, GitHub Advisory Database, OSV) to identify security issues and report findings with severity scores and fix recommendations.
SCA tools detect known CVEs, outdated packages, malicious packages, license compliance risks, unpatched critical vulnerabilities, and transitive dependency risks. By detecting these issues early, SCA enables teams to secure their software supply chain before vulnerabilities reach production.
SCA focuses on open source and third-party code, detecting known vulnerabilities and license risks. SAST focuses on first-party code, identifying coding errors and security weaknesses. Most organizations need both for comprehensive application security coverage.
SCA automatically detects and tracks every open source license across dependencies, flagging potential conflicts based on usage policies. It provides policy enforcement, license inventory reports, and risk scoring to prevent accidental license violations.
Yes, modern SCA solutions scan container images by unpacking each layer to identify vulnerabilities in base images, system libraries, language-specific dependencies, and application binaries before deployment.
SCA integrates into version control systems, CI/CD platforms, container registries, and IDE plugins, running automatically at multiple pipeline checkpoints. It provides immediate feedback through PR comments, build status checks, and dashboard alerts while enabling quality gates to fail builds containing critical vulnerabilities.
Combine CVSS severity scores (0–10) with EPSS exploit likelihood (0–100%) and reachability analysis to create a prioritization matrix. Critical vulnerabilities with high EPSS and reachability require immediate fixes, while lower-risk findings can be scheduled for routine maintenance.
SBOM (Software Bill of Materials) is a comprehensive, machine-readable inventory of all components in software. SCA tools automatically generate SBOMs in standard formats like SPDX and CycloneDX for regulatory compliance, incident response, supply chain transparency, and audit documentation.
Comprehensive SCA solutions support JavaScript/TypeScript (npm, Yarn), Python (pip, Poetry), Java/Kotlin (Maven, Gradle), Ruby (Bundler), Go, PHP (Composer), .NET (NuGet), Swift, and C/C++, plus container images, infrastructure as code, and Kubernetes manifests.
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