Capability · 01
Per-asset breakage prediction
XGBoost + LLM model trained on the migration-outcomes corpus, predicts breakage probability per asset before rollout.
What this module does
PQC Migration reads your actual infrastructure, not generic templates, and produces dependency-safe rollout sequences with breakage probability per asset. Hybrid mode by default; classical and PQC primitives run in parallel during transition. Runnable Terraform, Ansible, and language-specific code patches included.
Capabilities
Four operational capabilities.
Capability · 02
Hybrid mode by default
ML-KEM-768, ML-DSA-65, SLH-DSA hybrid configurations · classical + PQC running in parallel during transition.
Capability · 03
Dependency-safe sequencing
Rollout order derived from the dependency graph · no service migrated before its callers are ready.
Capability · 04
Runnable artefacts
Generated Terraform, Ansible, and language-specific code patches tailored to your stack.
Technical detail
What evaluators want to know.
Algorithms supported
FIPS 203 ML-KEM (key encapsulation), FIPS 204 ML-DSA (signatures), FIPS 205 SLH-DSA (stateless hash-based signatures).
Migration corpus
Proprietary dataset of customer migrations with breakage outcomes, improves predictions with every customer.
Validation
Generated playbooks tested against attached staging logs · pre-flight verification before production rollout.
Reversibility
Hybrid mode enables zero-downtime rollback if a downstream service can't accept the new algorithm.