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Paperclip SAFE Enables Advanced Data Security For GenAI

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Paperclip Inc. (PCLIP) announces that its always-encrypted SAFE® solution now secures private data for use in generative AI (GenAI) projects. This breakthrough searchable encryption technology allows organizations to confidently tackle GenAI projects, ensuring their sensitive, controlled, and private data is cryptographically secure. Paperclip SAFE is uniquely positioned to protect sensitive data, unlike any other solution on the market.
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Organizations can now confidently tackle GenAI projects while keeping data secure

HACKENSACK, N.J., Dec. 13, 2023 (GLOBE NEWSWIRE) -- Paperclip Inc. today announced that its always-encrypted SAFE® solution now secures private data for use in generative AI (GenAI) projects. By implementing Paperclip SAFE encryption, organizations can confidently tackle GenAI projects knowing their sensitive, controlled, and private data is cryptographically secure, leveraging the benefits of Paperclip’s breakthrough searchable encryption technology.

“It has become clear that GenAI is here to stay,” said Chad Walter, Chief Revenue Officer at Paperclip. “There are millions of use cases where GenAI can create efficiencies and help us work smarter. The challenge that’s evident is the Large Language Models (LLMs) that drive GenAI lack the ability to secure sensitive and private data.”

“Paperclip SAFE is uniquely positioned to protect that sensitive, controlled, or private data—unlike any other solution on the market,” Walter added.

GenAI tools like ChatGPT that leverage public internet data are now easily available and growing in popularity. Company leadership is under immense pressure to leverage GenAI to get more out of their datasets but are met with cybersecurity concerns regarding the risk of sharing sensitive, controlled, or private data with public LLMs.

Even private GenAI services such as retrieval-augmented generation (RAG) implementations—that allow embeddings to be computed locally on a subset of data—have data privacy and security implications. While the C-suite and investors push for rapid GenAI adoption, security and compliance teams that better understand the inherent risks are forced to choose between innovation and exposing the company and their clients to further risk of data theft, manipulation, or ransom.

“Paperclip SAFE will help aid in the adoption of GenAI by ensuring private data is always encrypted at all times,” Walter said. “As a SaaS solution, Paperclip SAFE is designed as a plugin that aligns to the vector databases and learning datasets that drive LLMs, which are the backbone of GenAI.”

As with traditional database security, encryption is the only way to truly protect the PII and PHI (or any sensitive, controlled, and private) data. Paperclip SAFE is the only always-encrypted data security solution that utilizes full NIST approved AES-256 encryption and operates at the speed of business. In addition, Paperclip’s patented shredding technology goes beyond encryption for another layer of critical protection—shredding data, storing each shred only once and breaking context, resulting in probabilistic encryption.

To better understand SAFE’s role in protecting PII and PHI in LLMs, read our latest blog post: The Risk of Personal Identifiable Information (PII) in Large Language Models (LLMs).

About Paperclip, Inc.

Paperclip is a proven technology partner that continues to revolutionize data security, content and document management for Fortune 1,000 companies worldwide. Every second of every day, our innovative solutions are securely processing, transcribing, storing, and communicating highly sensitive content across the internet. Maximizing efficiency to save millions annually, while maintaining absolute security and compliance. For more information, visit paperclip.com.

About SAFE

Paperclip SAFE builds on the foundation of trust and collaboration that Paperclip has established with its security and content management solutions over three decades. Paperclip SAFE utilizes in-depth knowledge of the database and data pipeline to secure all points within the data lifecycle. Nine of the 10 top life insurance carriers in the U.S. are currently protected by Paperclip SAFE. With Paperclip SAFE, outpace threats with data that is always encrypted and always ahead of evolving risk. For more information, visit paperclip.com/safe.

CONTACT
Megan Brandow, Director of Marketing & Communications
Paperclip, Inc.
(585) 727-0983
mbrandow@paperclip.com


FAQ

What did Paperclip Inc. announce regarding data security for GenAI projects?

Paperclip Inc. announced that its always-encrypted SAFE® solution now secures private data for use in generative AI (GenAI) projects.

What is the unique feature of Paperclip SAFE in securing private data for GenAI projects?

Paperclip SAFE utilizes breakthrough searchable encryption technology to ensure that sensitive, controlled, and private data is cryptographically secure.

What challenges does GenAI pose for organizations regarding data security?

GenAI tools like ChatGPT and private GenAI services such as retrieval-augmented generation (RAG) implementations raise concerns about the risk of sharing sensitive, controlled, or private data with public LLMs.

How does Paperclip SAFE address the challenges of data security in GenAI projects?

Paperclip SAFE aids in the adoption of GenAI by ensuring private data is always encrypted at all times, utilizing full NIST approved AES-256 encryption and patented shredding technology for an additional layer of protection.

What is the role of encryption in protecting sensitive data in GenAI projects?

Encryption, specifically Paperclip SAFE's always-encrypted data security solution, is crucial for protecting sensitive, controlled, and private data in GenAI projects, operating at the speed of business.

What is the significance of Paperclip SAFE's encryption technology for protecting PII and PHI in LLMs?

Paperclip SAFE's encryption technology, including full NIST approved AES-256 encryption and patented shredding technology, plays a critical role in protecting Personal Identifiable Information (PII) and Protected Health Information (PHI) in Large Language Models (LLMs).

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