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Cybersecurity Specifically for Data

A breakthrough in protection and automation

Karlsgate leads in data protection and secure collaboration, ensuring your data is safe from risks and breaches.
Our core technology enables protective data transformation, secure in-place collaboration, and anonymous analytics. Safeguard your sensitive information while seamlessly leveraging it for product development, clinical research, patient views, and consumer insights. Protect and utilize your data effortlessly with Karlsgate. 

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Karlsgate is really different. To see for yourself why this technology revolutionizes data protection and achieves true zero-trust data operations, jump over to our Getting Started page. 

Protective Data Transformation

Actionable De-identification: Karlsgate allows you to derive valuable insights while keeping personal and sensitive information protected.

Downstream Data Flow Protection (DDFP): Encrypt data outputs for secure handoff between workflow steps, ensuring only the next process can access them. Eliminate data-at-rest vulnerabilities while seamlessly integrating with confidential computing.

Cryptographic Protocol: Maintain data privacy and security while safely matching data sets from different sources without exposing raw data via an advanced multi-party protocol leveraging the latest hashing, encryption, and key agreement algorithms.

Remote Data Integration: Send or receive de-identified data to/from any number of data sources/partners without receiving any PII or persistent IDs. Locally generated match keys enable both easy master data management and future third-party matching without the risk of re-identification. 

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Secure In-Place Data Collaboration

Remote Data Joins: Compare two data sets to determine the overlap without ever sharing any identifiable information.

Partitioned Knowledge Orchestration: Utilize advanced cryptographic protocols to keep data secure during collaboration, preventing unauthorized access and breaches. 

Data Governance Tools: Comply with global data governance requirements, consent management, and “right to be forgotten" regulations with the automated audit documentation provided for each unique contract logs for every transaction. 

Anonymous Analytics

Actionable De-identification: Convert identifiable data into a de-identified state that maintains its utility for analysis and operational use while protecting individual privacy.  

Anonymous Data Joins: Create a completely anonymized and randomly re-sequenced file made up of the overlapped records as well as an attributes from either file on those records.

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Our Approach

At the core of our solutions lies a groundbreaking concept: Partitioned Knowledge Orchestration, a form of Secure Multi-Party Computation (SMPC) technologies. This approach intentionally fragments complete information that could potentially lead to identification or re-identification of shared information. Achieved through meticulous orchestration of a cryptographic transaction involving at least three independent actors, the result is a zero-trust mechanism to share insights between parties with no data engineering effort beyond a one-time set up.  

Karlsgate Identity Exchange (KIE™) combines privacy-enhancing technology (PET) and our secure data transmission automation technology to make a robust data connectivity solution that meets the challenges of the modern privacy environment. The cryptography used is not a black box or obscure algorithm. In fact, the cryptographic algorithms are configurable per trade simply by selecting among the listed FIPS 140-2 compliant hashing and encryption algorithms, including post-quantum cryptography options such as ML-KEM.  

This approach results in a no-code, automatable solution where sharing insights never requires loss of control of data.  

For more detailed insights into our Partitioned Knowledge Orchestration technology and how it exceeds alternatives on the basis of retained control and scalability, check out our whitepaper.  

Resource Center

Browse our latest articles 

What the 23andMe Collapse Reveals About the Future of Data Protection

What the 23andMe Collapse Reveals About the Future of Data Protection

Rethinking What It Means To Protect Sensitive Data

What the 23andMe Collapse Reveals About the Future of Data Protection
Regina Gray

March 27, 2025

Feature Post
AI’s Data Dilemma

AI’s Data Dilemma

The Hidden Cost of Overlooking Data Protection

AI’s Data Dilemma
Regina Gray

March 24, 2025

AI
The Breakthrough That’s Changing Data Collaboration

The Breakthrough That’s Changing Data Collaboration

How early adopters are transforming workflows with protected data pipelines

The Breakthrough That’s Changing Data Collaboration
Regina Gray

March 17, 2025

Data Sharing

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).