SAST: static application security testing
Source analysed for injection, insecure deserialisation, authentication weaknesses, path traversal and the rest of the OWASP set, deduplicated across branches.
Kervo AI runs SAST, SCA, secrets detection, SBOM and CBOM on your repositories, so code security is fully covered without a separate tool for each scan.
Covering code properly usually takes five tools: one for static analysis, one for dependencies, one for secrets, another to produce an SBOM, and usually nothing at all for cryptography. Each needs buying, configuring and wiring into every repository, and the gaps between them are where issues slip through.
So most teams run some scans on some repositories, and nobody can say for certain what isn't covered.
Connect your repositories once and Kervo AI runs all five scans on every one: SAST on the source, SCA on direct and transitive dependencies, secrets detection across code and git history, and an SBOM and a CBOM for each application.
Findings from every scan land in one place with the file, the line and the fix attached, and route into your ticketing system. New repositories are picked up as they're created, so coverage doesn't drift as the codebase grows.
Source analysed for injection, insecure deserialisation, authentication weaknesses, path traversal and the rest of the OWASP set, deduplicated across branches.
Direct and transitive dependencies checked against known CVEs, with reachability analysis where the language supports it. License compliance tracked alongside.
API keys, tokens and credentials found in source, configuration and git history, including secrets committed and later deleted.
A current inventory of every component in every application, generated automatically and exportable in CycloneDX and SPDX. When the next Log4Shell lands, the answer takes minutes.
Algorithms, key lengths, certificates and libraries in use across your code. With NIST's post-quantum standards published (FIPS 203, 204 and 205), knowing where RSA and ECDH are embedded stops being academic.
Kervo AI connects to your repositories and CI/CD pipelines, so scans run at pull request time and continuously against main. Every scan runs on every connected repository, and a coverage view shows which repositories have been scanned by what and when.
Findings route into ticketing with the code location, the scan that found them and the recommended fix.
Separate code-scanning tools each cover one slice and report in their own format. With all five scans in Kervo AI, you can see at a glance which repositories are covered, what each scan found and what to fix first, in the same platform as your cloud, network and external findings.
Application Security Posture Management covers the security of your code: static analysis, dependency vulnerabilities, secrets, and inventories of the components and cryptography your applications use.
A Cryptographic Bill of Materials inventories the algorithms, key lengths, certificates and libraries in your applications. It is the starting point for post-quantum migration.
JavaScript and TypeScript, Python, Java, Go, C#, Ruby and PHP, with dependency support for npm, PyPI, Maven, Go modules, NuGet, RubyGems and Composer.
Yes. Findings surface at pull request time. Failing builds on policy violations is configurable and off by default.
A standalone tool usually covers one scan type. Kervo AI runs all five across every repository, and its findings sit in the same platform as your cloud, network and external findings.
Connect a repository during the demo and we'll run all five scans against your real code.