04 Features
Built for the quantum era.
Support for many languages
Detects the most common cryptographic APIs in Python, JavaScript, TypeScript, Java, Kotlin, Go, C, C++, C# and Swift, plus openssl, ssh-keygen and keytool commands in build scripts.*
Python
JavaScript
TypeScript
- Java
Kotlin
Go
C
C++
- C#
Cryptographic inventory (CBOM)
Automatically creates a standard CycloneDX 1.6 CBOM of the cryptography found in your repositories, or imports CBOMs generated by other tools.
Risk assessment
Ranks encryption by how long the data must stay secret, and digital signatures by how long they must be trusted. The most urgent issues are highlighted first.
Checks on every build
Automatically flags, on every build, the vulnerable cryptography a change introduces. Brings the checks into pull requests for early feedback.
Simple CI/CD integration
Works with GitHub Actions, GitLab, Jenkins and Azure DevOps. Run scans on your own computer or inside the pipeline you already use.
GitHub Actions
GitLab
- Jenkins
- Azure DevOps
Keys, certificates and TLS
Recognizes the algorithms and key sizes in key and certificate files, and probes the TLS connections of the servers you name with one handshake.
Infrastructure configuration
Finds vulnerable key and TLS settings in Terraform, Kubernetes and CloudFormation files, and in web-server, OpenSSL and OpenSSH configuration files in your repository.
Crypto wallet support
Analyzes the code, not the blockchain. Finds secp256k1 and Ed25519 signing keys, Schnorr signatures, and ECDH and ECIES key exchange in common wallet libraries. Gives migration guidance until the blockchain supports post-quantum signatures.
MCP support
Through a read-only MCP connector, lets AI coding assistants check your cryptography rules while they write code.
Post-quantum migration suggestions
Suggests the best-fitting standard: ML-KEM, ML-DSA or SLH-DSA, or a hybrid key exchange.
Offline scanning
By default, scans run offline in your CI and your source code stays in your environment. Results reach Quantsiv only if you choose to upload them. Public repositories can also be scanned on Quantsiv's servers; private ones are not.
AI agent analysis
An AI agent analyzes each finding in its context and proposes a fix. It connects to the model you choose through its chat-completions endpoint, for example ChatGPT, Claude, DeepSeek or Grok, or one you host yourself. No change is merged without the user's approval.
*Coverage varies by language. Pattern matching misses aliased and dynamic calls, vendored code and dependencies, and does not read cloud key-management services.
