The migration, charted end to end.

See everything before you move anything.

AutoPQC inventories cryptography the way it actually exists — in Python syntax trees, Java JCA call patterns, X.509 certificates, and TLS configurations. No questionnaires, no tribal knowledge. The result is a Cryptographic Bill of Materials: every algorithm, key, and certificate, with its location and role.

Every asset gets a destination.

Each discovered asset is classified by cryptographic role and mapped to its NIST-standardized successor: ML-KEM (FIPS 203) for key establishment, ML-DSA (FIPS 204) and FALCON for signatures, SLH-DSA (FIPS 205) for hash-based signing. The mapping is deterministic and standards-traceable — an auditor can follow every step.

The order of migration is the strategy.

A Random Forest model ranks all migrations by risk and urgency — data lifetime, exposure, role, blast radius — with explainable per-asset reasoning. In our reference scan it separated 22 high-priority from 14 medium-priority migrations at 95.2% classification accuracy.

Measure the cost before you commit.

Post-quantum keys and signatures are bigger; latencies shift. AutoPQC benchmarks classical against post-quantum — RSA-2048 vs ML-KEM-768, ECDSA-P256 vs ML-DSA-65 and FALCON-512 — reporting sizes, key-generation and signing latencies, so capacity planning happens before migration.

The estate, sequenced and proven.

Everything converges into a single artifact: a prioritized, benchmarked, standards-anchored migration roadmap. Your data crosses to post-quantum safety in a deliberate order, with evidence at every step — a measured program, not a scramble.