QuanteraAI discovers cryptography inside software repositories, understands what it protects, generates supported post-quantum migrations, and verifies that the application still works.
Built around standards-based post-quantum cryptography
Organizations can identify RSA or ECC. The expensive part begins when engineers have to determine what the cryptography does, what depends on it, how to replace it, and whether the migration broke anything.
Public-key cryptography may exist across application code, libraries, certificates, configuration, wrappers, and shared services.
src/vault/
└─ encryption/
└─ key-wrap/
└─ RsaKeyProtectionService.java
RSA may protect a symmetric key, generate signatures, or participate in another protocol. Each use requires different migration reasoning.
After a scanner reports RSA or ECC, engineers still have to trace dependencies, redesign the cryptographic workflow, write code, test it, rescan it, and document the result.
Quantera compresses that.
Changes can affect key formats, serialization, stored data, APIs, external systems, certificates, and application behavior.
Discover cryptography in source code. Quantera identifies things such as:
Determine what the cryptography actually protects — for example:
RSA-2048/OAEP protects an AES-256 data-encryption key used by CustomerVaultService.
Generate controlled post-quantum code changes for supported patterns — for example RSA key protection to ML-KEM, or RSA digital signatures to ML-DSA.
Migration decisions are policy-controlled rather than chosen freely by an AI model.
Prove the migration still works: build, existing tests, generated PQC tests, behavioral tests, rescan, compatibility checks, unexpected-file checks, performance measurement.
Verified for reviewFrom repository scan to verified migration in under 90 seconds.
Migration decisions become safer when cryptography is understood in application context.
Quantera verifies supported migrations using real engineering checks before presenting them for human review.
A language model's output never substitutes for a real build, test, or rescan.
| Environment | Discovery | Context | Automated Migration | Verification |
|---|---|---|---|---|
| Java | ✓ | ✓ | ✓ Supported patterns | ✓ |
| C / C++ | ✓ | ✓ | Expanding | — |
| C# / .NET | ✓ | ✓ | Expanding | — |
| Python | ✓ | ✓ | Expanding | — |
Current Java migration support
Additional migration recipes and environments are added only after they meet Quantera's verification requirements.
Quantera can produce repository-level cryptographic information including algorithm, variant, purpose, operation, key size, curve, provider, file, class, method, caller relationships, protected asset, destination, quantum status, migration status, and verification status.
| Algorithm | Location | Purpose | What it protects | Status |
|---|---|---|---|---|
| AES-256-GCM | VaultEncryptionService.java:42 | Data encryption | Customer PII at rest | Retain |
| RSA-2048 OAEP | RsaKeyProtectionService.java:47 | Key protection | The AES-256 data key | → ML-KEM-768 |
| RSA-2048 | ReceiptSigningService.java:38 | Digital signature | Payment receipts | → ML-DSA-65 |
| ECDSA P-256 | TransactionSigner.java:29 | Digital signature | Transaction integrity | Review required |
| pgcrypto AES | schema.sql:88 | Column encryption | ssn, dob | Classical KEK |
Software suppliers preparing for government and customer PQC requirements.
Products containing cryptographic dependencies across complex software estates.
Organizations protecting long-lived sensitive information and operating under security and compliance pressure.
Teams responsible for translating crypto findings into actual software changes.
Quantera automates repeatable migration work so engineers can spend more time reviewing architecture and making decisions.
Traditional process
Quantera workflow
Automate cryptographic discovery and dependency tracing.
Generate supported migration changes instead of starting from a blank editor.
Automatically execute builds, tests, rescans, and evidence collection.
NIST's PQC standards are finalized — FIPS 203 and FIPS 204 were ratified in 2024. Federal migration planning is underway, with U.S. federal systems targeted to move off RSA by 2035. Organizations need crypto inventories, and software estates take years to migrate. Long-lived sensitive information creates urgency: an average enterprise repository carries hundreds of crypto call sites.
The migration needs to begin before cryptographically relevant quantum computers arrive, not after.
AI helps classify application context but does not independently choose migration algorithms.
Supported recipes determine what Quantera can change.
Builds and tests can run inside hardened, ephemeral environments.
Quantera generates reviewable changes. Engineers retain merge control.
Scans, migrations, verification runs, and evidence are recorded.
We're finalizing our source-retention and model-handling policy — full detail will publish on a dedicated Security page.
We're working with software teams preparing for post-quantum migration and looking for organizations willing to validate Quantera against real application patterns.
Discover it. Understand it. Migrate supported patterns. Verify the result.
QuanteraAI — Find. Understand. Migrate. Verify.
Have questions or need a tailored demo? Our team will respond within 24 hours.