Built for the Post-Quantum Era
Three products working together to secure every layer of your AI infrastructure against quantum-era threats.
Post-Quantum Agent Identity
Cryptographic identity purpose-built for AI agents operating in autonomous, multi-party workflows. PQ-AID provides verifiable identity, secure delegation, and quantum-resistant communication channels for the agentic era.
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ML-DSA-65/87 Key Pairs
FIPS 204-compliant digital signatures for agent authentication and action signing.
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DID-Compatible Identifiers
W3C Decentralized Identifier format for interoperable agent identity across platforms.
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Delegation Chains
Scoped, time-limited permission delegation for agent-to-agent workflows with full auditability.
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Encrypted Communication Channels
ML-KEM-768 key encapsulation for quantum-safe agent-to-agent encrypted messaging.
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Revocation & Rotation
Instant key revocation and automated rotation policies for compromised or retired agents.
import { PqAid } from '@quantamrkt/pq-aid';
// Create a quantum-safe agent identity
const agent = await PqAid.createAgent({
name: 'code-reviewer-01',
algorithm: 'ML-DSA-65',
capabilities: ['sign', 'verify', 'delegate'],
});
// Sign an action
const signature = await agent.sign({
action: 'approve-model',
modelId: 'sha3-256:a1b2c3...',
timestamp: Date.now(),
});
// Delegate to sub-agent
const delegation = await agent.delegate({
to: 'did:pqaid:sub-agent-02',
scope: ['verify'],
ttl: '24h',
});Analyze
Scan codebase for RSA, ECDSA, AES, SHA-2 usage patterns
Plan
Generate migration plan with dependency graph
Execute
AI-generated code transforms with human review
Validate
KAT test suite & compliance verification
AI-Powered PQC Migration
Stop manually hunting for classical crypto in your codebase. The Migrator uses AI to analyze, plan, execute, and validate your post-quantum migration end-to-end.
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Multi-Language Analysis
Supports Python, TypeScript, Go, Rust, Java, and C/C++ crypto detection.
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Pattern Detection Engine
Identifies RSA, ECDSA, ECDH, AES-GCM, SHA-2, and 50+ classical crypto patterns.
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Automated Code Generation
AI generates migration code with human-reviewable diffs and rollback support.
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KAT Validation Suite
NIST Known Answer Test vectors verify correctness of every migrated crypto operation.
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CI/CD Integration
GitHub Actions, GitLab CI, and Jenkins plugins for continuous compliance monitoring.
HNDL-Resistant Model Protection
Every AI model deserves a verifiable identity. Shield Registry creates tamper-evident manifests with quantum-safe signatures so you can trust what you deploy.
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Model Manifests
Structured metadata including model hash, training provenance, and dependency graph.
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HNDL Risk Calculation
Quantified risk scoring based on model sensitivity, data classification, and threat horizon.
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Multi-Party Verification
Require N-of-M signatures from authorized parties before deployment approval.
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Transparency Log
Append-only Merkle tree log of all registry operations for full auditability.
{
"@context": "https://quantamrkt.com/schema/v1",
"type": "ModelManifest",
"model": {
"name": "llama-3-70b-instruct",
"hash": {
"algorithm": "SHA3-256",
"value": "a1b2c3d4e5..."
}
},
"signature": {
"algorithm": "ML-DSA-87",
"signer": "did:pqaid:publisher-01",
"value": "base64..."
},
"hndlRisk": {
"score": 0.87,
"classification": "HIGH",
"horizon": "2030"
},
"verification": {
"required": 2,
"signers": ["...", "...", "..."]
}
}Ready to go quantum-safe?
Start with the free tier and scale as your PQC migration progresses.