You Don't Need Logs.
You Need Proof.
Most systems produce logs. Logs can be modified, deleted, incomplete, impossible to verify. That's not an audit trail. That's a record you have to trust. Cachee makes systems provable.
What Provable Means
Every computation result that passes through Cachee emerges as a self-contained, independently verifiable artifact. Not a log entry. Not a record. A cryptographic proof that the computation happened, with these inputs, producing this output, at this time.
The Provable Computation Pipeline
Every SET. Every computation. Every time.
Every computation result is:
- Fingerprinted — SHA3-256 hash of inputs, operation, parameters, and output. Deterministic. Anyone can recompute it.
- Signed by 3 post-quantum families — ML-DSA-65 (lattice), FALCON-512 (NTRU), SLH-DSA (hash-based). Three independent mathematical hardness assumptions.
- Packaged into a self-contained verifiable bundle — The Computation Attestation Bundle (CAB). 24KB. Portable. No network required to verify.
- Reproducible without access to the original system — The bundle contains everything needed to independently verify the result. Kill the server. The proof survives.
You don't just record what happened. You can prove it. This only works because every result is backed by a tamper-proof audit trail.
Not Logs. Evidence.
A log says "this happened." A Computation Attestation Bundle proves it. Each computation is stored as a portable, verifiable artifact — an audit artifact, not just a cache entry.
A log file requires you to trust the system that produced it. A CAB requires you to trust nothing. The fingerprint is deterministic — anyone can recompute it. The signatures are independently verifiable. The bundle travels with the data. Trust shifts from institution to mathematics. Every result we store starts as verifiable computation.
The Hash-Chained Audit Log
Every event is fingerprinted, hash-chained, and tamper-evident. Modification of any entry invalidates the entire chain from that point forward.
// Every audit entry is linked to the previous entry
current_hash = SHA3-256(
prev_hash // hash of the previous entry
|| event_data // the event payload
|| timestamp // nanosecond-precision timestamp
|| sequence_number // monotonic counter
)
// Break one link → every subsequent hash changes
Missing link breaks the chain. Next entry's prev_hash points to a gap.
Sequence numbers and hash links are order-dependent. Swap two entries and both hashes break.
Changing event data changes the hash. Every entry downstream cascades into a different hash.
Merkle Root Anchoring
Periodically, Cachee computes a Merkle tree over batches of audit entries and produces a single root hash. This root can be published to an external ledger, timestamped by a third party, or stored in a separate trust domain. The Merkle root anchors the entire batch — proving not just individual entries, but the complete set and order of all entries in the batch.
// Walk the entire chain. Validate every link.
AUDITVERIFY --full
// Output:
Chain length: 14,203 entries
Genesis hash: 0x00...00
Current hash: b5d1...e7f2
Broken links: 0
Missing entries: 0
Merkle roots: 47 (verified)
Status: CHAIN INTACT
Reconstruct Any State. At Any Point In Time.
Every key maintains a full lifecycle history. Query any key at any point in time. Reconstruct the state of the entire cache at any timestamp. Full audit visibility from genesis to now.
AUDITLOG user:1001
// Full lifecycle from genesis to now:
[1] 2026-05-01T09:14:22.331Z CREATED value=<initial> sig=ML-DSA+FALCON+SLH
[2] 2026-05-01T09:14:22.334Z ATTESTED bundle=CAB-a3f7c9 anchor=seq#1
[3] 2026-05-01T14:07:11.892Z UPDATED value=<v2> sig=ML-DSA+FALCON+SLH
[4] 2026-05-01T14:07:11.895Z ATTESTED bundle=CAB-f19ca3 anchor=seq#3
[5] 2026-05-02T02:30:00.001Z SUPERSEDED by user:1001:v3
[6] 2026-05-02T11:45:33.770Z REVOKED reason=gdpr_erasure proof=CAB-b5d1e7
Time-travel audit: query any key at any point in time. GETVERSION user:1001 AT 2026-05-01T14:07:11Z returns exactly the value and attestation bundle that existed at that moment. The past is not overwritten. It is preserved, hash-chained, and provable. You can reconstruct system state at any point in time.
Built for Real Compliance
Cachee doesn't just store data. It produces the cryptographic evidence that compliance frameworks actually require. Six frameworks. Specific capabilities. Not checkbox theater.
Prove It. Don't Trust It.
Run a computation. Get a proof bundle. Kill the system. Verify anyway. Tamper with the result. Watch it fail.
You didn't trust Cachee. You verified it.
Fast Systems Usually Sacrifice Auditability.
Cachee Does Both.
You don't choose between speed and proof. The audit pipeline runs asynchronously on the write path. Reads are unaffected. 31 nanoseconds and independently verifiable.
Most audit systems add latency, require separate log infrastructure, and produce records that are only as trustworthy as the system that wrote them. Cachee's audit trail is a byproduct of its architecture, not an afterthought bolted on top. Every result carries full data lineage verification.
// Write path: attestation is async, doesn't block the caller
SET key value // returns in <1us
|
↳ async: fingerprint (SHA3) // 31ns
↳ async: sign (ML-DSA) // 35us
↳ async: sign (FALCON) // 12us
↳ async: sign (SLH-DSA) // 340us
↳ async: chain link // 31ns
↳ async: merkle batch // periodic
// Read path: zero audit overhead
GET key // 31ns — attestation already computed
Frequently Asked Questions
current_hash = SHA3-256(prev_hash || event_data || timestamp || sequence_number). Modifying any entry changes its hash, which breaks the chain at that point and every subsequent entry. Deleting an entry removes a link. Reordering entries produces different hashes. The AUDITVERIFY command walks the entire chain and validates every link, detecting any form of tampering. This is the same principle behind blockchain immutability, applied to audit infrastructure.Explore Verifiable Computation Infrastructure
Every page in the Cachee knowledge base. Proven computation, not cached data.
The category definition. Run computation once, serve forever. →Cache Attestation
Signed cache entries. Three PQ families per SET. →Computation Fingerprinting
Identity for results. Provenance, not just output. →ZK Caching
Cache STARK and SNARK verification at 85ns. →FHE Output Caching
Run encrypted computation once. Cache the result at 31ns. →Proof Reuse
Verify once, serve forever. Architecture for verified results. →PQ Key Size Reference
Every post-quantum key, ciphertext, and signature size. →Redis vs In-Process L1
31ns vs 1ms. The network hop you do not need. →Cache Bottleneck
Why your cache is slower than your compute.
Compliance Deep Dives
Start Proving. Not Trusting.
Every computation fingerprinted. Triple PQ-signed. Hash-chained. Merkle-anchored.
Install Cachee and make your infrastructure provable.