A cryptographic transform that keeps protected data usable without putting source values in the clear.
Enigmata Cipher converts sensitive fields, records, documents, and feature sets into protected data that enterprise workflows can still use. Train and score models, run analytics, search encrypted corpora, and retrieve candidates without first restoring plaintext. When a person or system needs source material, Enigmata Policy controls what can be revealed, why, and under which audit trail.
8-10% faster wall-clock training reduction on representative workloads (internal benchmark).
Model accuracy on protected data is often better - never worse - than plaintext.
Enigmata Cipher throughput.
No raw source values in model inputs, analytics workspaces, search indexes, or vendor logs.
How it compares
The honest framing of every other option.
| Approach | What you get |
|---|---|
| Classic encryption | Protects data at rest, but workflows stop until values are decrypted. |
| Masking and tokenization | Useful for display suppression, but weak as a foundation for ML and search because utility and lineage break. |
| Anonymization | Right when values must never come back; wrong when an approved analyst, workflow, or customer operation needs source reveal. |
| Secure enclaves / TEEs | Hardware-bound runtime trust, operational friction, and limited portability. |
| Fully homomorphic encryption | Strong theory, but too slow and narrow for most production ML, search, and analytics workflows. |
| Enigmata Cipher | Encrypted data stays operational, with controlled reveal only when policy permits. |
What this unlocks for you
Train and score on protected data
Build ML models on encrypted records and features without copying raw regulated values into notebooks, training jobs, or vendor tools.
Run analytics without opening the dataset
Filter, segment, compare, aggregate, and measure while the underlying values stay protected.
Search and retrieve before reveal
Find records, documents, and candidate matches over encrypted data; plaintext access is a separate policy decision.
Reveal only what policy allows
Coupled with Enigmata Policy, approved users get only the source fields their role and purpose permit, with every reveal logged.
Why it matters
Encryption no longer stops the workflow
Classic encryption protects storage but blocks computation. Cipher keeps the data useful for the operations teams already need.
Plaintext becomes an exception
Discovery, ranking, training, and analysis happen on protected data; reveal is separated and governed.
Policy closes the loop
With Enigmata Policy, source values come back only under role, purpose, and audit controls.
Where it fits
Best fit: workflows that need useful computation on protected data before any source value is revealed.
Fraud and risk
Model fraud, AML, credit, and claims signals across sensitive records without expanding raw-data access.
Healthcare analytics
Train readmission, treatment, and operations models on protected clinical and claims features.
Customer intelligence
Segment, score, and search customer records while approved service teams reveal only allowed fields.
Vendor scoring
Let third-party model or analytics vendors work on protected feature sets without receiving the source dataset.
Enterprise search
Search contracts, tickets, research, logs, and records while source excerpts remain under reveal policy.
RAG pipelines
Retrieve relevant protected context for downstream generation without making the corpus a plaintext model input.
Data collaboration
Join and compare sensitive datasets across teams or partners while source values remain controlled.
Audit-ready operations
Preserve evidence of who accessed what, why, and under which policy version.
Key capabilities
- Transform sensitive data into protected representations that remain usable for model training, scoring, analytics, search, and retrieval.
- Keep raw source values out of notebooks, feature stores, search indexes, application payloads, logs, and third-party workspaces.
- Separate discovery from disclosure: workflows can find, rank, train, and score before any source value is revealed.
- Couple with Enigmata Policy for field-level reveal decisions by role, purpose, and policy version.
- Runs with standard data, ML, and search infrastructure; no specialized hardware required.
Technical detail
The protected-data substrate behind multiple workflows.
Enigmata Cipher is the general-purpose transform layer under Enigmata workflows: it is used anywhere an enterprise needs ML, analytics, search, retrieval, or controlled reveal on protected data. Policy decisions govern what gets revealed and to whom; Cipher supplies the protected data form those decisions operate over.
- Protected identifiers and categories for joins, grouping, filtering, and feature engineering.
- Protected numeric workflows for ranking, thresholds, ranges, and model features.
- Protected text and document workflows for search, matching, classification, clustering, and candidate retrieval.
- Policy-controlled reveal paths for approved source fields or excerpts under audit.
- Works with standard data, ML, and search infrastructure; no specialized hardware required.
The offer
Prove it in 60 days.
Prove it in 60 days. Pick one blocked workflow: model training, analytics, search, vendor scoring, or RAG over sensitive data. We transform the dataset with Enigmata Cipher, run the workload on protected data, benchmark utility and throughput, and deliver the Enigmata Policy-backed reveal and audit package.
- Protected-workflow benchmarkSide-by-side report for the chosen workflow: plaintext baseline versus Cipher-protected data on utility, speed, and throughput.
- Reveal policy matrixWhich roles, purposes, and systems may reveal which fields, and which stay protected.
- Audit evidence packLogs showing approved reveals by role, purpose, policy version, timestamp, and field.
- Data-flow and custody mapWhere source values are transformed, where protected data is used, and where reveal can occur.
- CISO sign-off packThreat model, key-custody summary, incident-response delta, and operational runbook.
Where it runs