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Cyphlens Secures Gartner Cool Vendor Recognition for AI Data Privacy

Asking an AI to analyze a contract usually requires surrendering every confidential detail within, but Cyphlens is changing that dynamic. Named a 2026 Gartner Cool Vendor in Data Security, the company has developed a system that allows AI to process documents while keeping sensitive information shielded from view.

Cyphlens Secures Gartner Cool Vendor Recognition for AI Data Privacy

The core of the Cyphlens technology is in-document encryption that functions at a granular level. When a user tasks an AI with identifying a renewal date in a legal agreement, the software can mask the negotiated price while leaving the remaining text readable for the model. Crucially, these redactions occur in-place, meaning the file remains a standard Word or PDF format rather than an encrypted container. This allows a single document to reveal different information sets to different users or AI agents depending on their authorization.

Beyond document parsing, the company offers a capability called CypherFile, which manages protection for files up to one terabyte. The system operates on a zero-knowledge architecture where content never reaches Cyphlens servers; encryption and decryption occur locally on the sender's device. This ensures that even after a file is shared and travels across various channels, the sender retains the ability to revoke access. If a document is recalled, the content becomes permanently inaccessible because each attempt to open the file requires a real-time verification check.

CEO Rocky Motwani notes that the traditional model of security—assuming the person opening a file is the only one reading it—has collapsed in the age of generative AI. By providing a control layer that governs exactly what a human or a machine can see, the firm aims to allow organizations to integrate AI into document-heavy workflows without sacrificing governance. Salesforce Ventures partner Rob Keith highlighted this shift, noting that effective security now centers on granular visibility, ensuring data remains protected even after it leaves a company’s internal perimeter.

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