Discover
Cryptographic asset discovery & CBOM generation
Find cryptography wherever it lives, across code, dependencies, certificates, and infrastructure. Already have a CBOM? We ingest yours.
Output CycloneDX 1.7 CBOM report
Future-proof your IT infrastructure against the quantum threat
Local graph neural network models, assisting in PQC migration, asset analysis, and scenario simulation at scale.
From the first cryptographic scan to verified deployment, QCipher is one local graph engine across three modules, turning scattered cryptographic data into a ranked, actionable migration plan, and keeping it current as standards and risks evolve. Your code and your data never leave your environment.
Cryptographic asset discovery & CBOM generation
Find cryptography wherever it lives, across code, dependencies, certificates, and infrastructure. Already have a CBOM? We ingest yours.
Output CycloneDX 1.7 CBOM report
HNDL-aware scoring & prioritization
Score every cryptographic finding by vulnerability, sensitivity, and exposure, so the highest-risk assets are reviewed first.
Plan PQC migration across thousands of assets with the machine learning engine, mapping algorithms, configurations, dependencies, and prioritization into an actionable migration sequence.
Output risk scores · prioritized migration sequence
Scenario testing, migration plans, ongoing posture
Test migration scenarios on the graph before touching production, then deploy with confidence.
Output verified deployment artefacts · migration runbooks
The output of each module feeds back into the graph. Your cryptographic posture stays current as standards and risks evolve, continuous readiness instead of a one-time audit.
Crypto-agility is the ability to swap algorithms across your stack quickly, safely, and repeatedly as standards and threats change. The first PQC migration won't be the last. Algorithms get deprecated. New ones get standardized. Regulators add requirements. Organizations that come through these cycles maintain a current inventory, a working migration capability, and clear ownership.
We are also exploring privacy preservation in quantum computing, focused on how sensitive data, quantum circuits, and proprietary algorithms can be protected when computation is outsourced to future quantum cloud infrastructure.