Security & Compliance
Quantropy is designed to meet information-theoretic security standards where applicable and to support auditability and compliance through on-chain provenance.
Information-theoretic security
Information-theoretic security means security that does not rely on computational hardness assumptions—e.g. the randomness is truly unpredictable and not derivable from public information. Quantropy’s entropy is:
Non-deterministic — Sourced from physical quantum measurement, not from a deterministic algorithm. An attacker cannot compute future or past outputs from observed data.
Verifiable — Each output is tied to a Quantum Job ID and Solana transaction; the source and existence of the job are publicly verifiable, while the entropy itself is used only by the requester.
Anchored — The link between job and entropy is immutable on-chain, so tampering or forgery of the record is not possible without breaking the chain.
Where your use case requires information-theoretic or high-assurance randomness (e.g. key generation, lotteries, oracles), Quantropy supplies entropy that meets these standards: non-deterministic source, verifiable provenance, and on-chain anchoring.
How this applies to the pipeline
Across the Integrity Stack:
Subatomic Mapping & QPU Engagement — Jobs run on real hardware; no simulation, no deterministic RNG in the critical path.
Velocity Processing — Raw outputs are normalized without introducing predictability; the engine does not reuse or replay seeds.
API Delivery — Entropy is delivered with Quantum Job ID and Solana tx; you get proof with every response.
Solana Settlement — The on-chain record is the root of trust; see Solana Settlement.
So the security and compliance story is: entropy is produced by physics, normalized by the Velocity Engine, and anchored on Solana—with full provenance for auditing and compliance.
Compliance and auditing
Auditability — Use the Quantum Explorer and Solana explorers to verify jobs. Store Quantum Job IDs with your use of the entropy for later audit.
Regulated use cases — Where regulation requires verifiable randomness or non-manipulable sources, Quantropy’s design (non-deterministic source + on-chain proof) supports compliance. Consult your legal and compliance teams for your jurisdiction and use case.
For network capacity and metrics: Network Stats.
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