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Protected Data Workflows for AI

Use real-world, individual-level data without exposing identity or risking re-identification.

Control Identity at the Source

Identity is transformed locally using Cryptonyms, ensuring sensitive identifiers never leave their origin.

Protection is applied before data is used, eliminating re-identification risk at the start of the workflow. 

Control Identity at the Source
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Define and Enforce Data Governance 

 KIE functions as a Model Context Protocol (MCP) to allow AI agents to design governance policies without ever accessing any underlying data.

AI agents operate on structured metadata and statistical representations and never access the actual data.

Policy Is Generated Without          Access to Data 

AI agents to generate data protection policies based on structured representations of data behavior, not raw inputs.

KIE acts as an MCP, allowing AI agents to generate data protection policies based on structured representations of data behavior, not raw inputs. 

KIE provides statistical signals, variable definitions, and transformation strategies to the AI, enabling policy design without exposing the underlying data.  

Policies Are Enforced Automatically Across Workflows 

Governance policies are enforced automatically across workflows.

Once defined, policies are executed directly by KIE nodes across workflows.

Data is transformed and delivered in protected form automatically, without exposing identity or requiring manual enforcement. 

Power Responsible AI with Governed Data

Use individual-level data in AI models without exposing identity or introducing re-identification risk.

High-Fidelity AI Models

 

Use individual-level data in AI models without exposing identity or introducing re-identification risk. 

Real-World Data, Safely Used

 Real-World Data, Safely Used 

 

Use individual-level, real-world data in AI workflows without exposing identity.

Zero Re-identification Risk

Zero Re-identification Risk

 

Eliminate re-identification risk through iterative data transformation and zero-trust coordination, preventing identity reconstruction across workflows. 

Governance at Scale

Governance at Scale 

 

Generate and enforce governance policies using AI, making governance persistent across workflows.

Resource Center

Browse our latest articles 

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Turning GDPR Compliance into Everyday Practice

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September 22, 2025

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Data Breaches Double Each Year. Exposure Doesn’t Have To.

Data Breaches Double Each Year. Exposure Doesn’t Have To.

It’s time to rethink how data is shared.

As data breaches double each year, it's time to rethink how data is shared.
Regina Gray

September 08, 2025

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Centralized Analytics Without the Centralized Risk

Centralized Analytics Without the Centralized Risk

Safely & compliantly use real-world, individual-level data, without risk or delay

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August 22, 2025

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FAQs

Frequently Asked Questions

How long does it take to process a trade?

It depends on the size of the files and the number of match passes and attributes appended. In general, 1 million records can be processed in 11 seconds (simple match pass) whilst 100 million records with 10 match passes and 600+ attributes appended would be processed in less than 18 hours.

Does Karlsgate do fuzzy matching?

We define fuzzy matching as loose matching rules based on probabilities. Our matching is fully deterministic—you will always have clarity over a match versus a non-match. To ensure that all potential matches are found, our software performs “soft matching,” or matching on equivalent alternatives, for examples “1 MAIN ST. APT. 2” = “1 Main Street #2”. Soft matching does not need direct access to PII to work and automatically rectifies differences in standardization, whitespace, punctuation, abbreviations, and phonetically similar words.

How does Karlsgate optimize matching to ensure high-quality match rates?

While the ultimate matching is deterministic due to the nature of the cryptoidentities being matched, Karlsgate’s node software performs robust data normalization and standardization processes to align identifying data elements prior to creating the cryptoidentities, which boosts match rates without over-matching.

How many match passes can I use?

For a single trade, you can have up to 10 different match passes, cascading down.

Is the protection resistant to both classical and quantum computing attacks?

Yes, FIPS-compliant cryptographic algorithms are available for each exchange that range from traditional Elliptic-curve Diffie–Hellman key exchange (e.g., X25519) to post-quantum cryptography Module-lattice key encapsulation (e.g., ML-KEM-1024).