Israeli data security startup Cyera acquires Ryft

Cyera said on April 23 that it acquired Israeli startup Ryft.

The deal will expand its AI security business, with Ryft developing software to manage enterprise data access for AI systems.

The deal was estimated at US$100 million to US$130 million, though the companies did not disclose a price.

Ryft had raised US$8 million since its 2024 founding by CEO Yossi Reitblat, CTO Yuval Yogev, and VP R&D Guy Gadon.

Its team will join Cyera’s AI security group, with Reitblat set to lead that division.

Cyera recently raised US$400 million in a series F round that valued it at US$9 billion.

🔗 Source: Calcalist

🧠 Food for thought

Implications, context, and why it matters.

The deal tackles a problem beyond standard data security. It covers data used by non-human AI agents that can carry out tasks on their own 1.
These agents can change identity depending on the job and the software they use. That creates hard-to-follow delegation chains that older security tools miss 2.
Ryft built secure automated data infrastructure for AI agents. The goal was to help companies manage how data is stored and accessed in systems built around AI 1.
Cyera gets the Ryft team as it works on a unified control plane, or control layer, for data and AI. The aim is to track data access at scale 2.

Cyera has leaned on acquisitions to expand its platform. The company says this is its fourth deal in five years 1.
The purchase fits a wider pattern in AI security and infrastructure. Well-funded companies are buying startups to speed product work instead of building every piece themselves 1.
Cyera places the move under agentic AI security. That means protecting data in use by autonomous systems, along with data at rest and in motion 1.
The move raises the stakes for rivals in Data Security Posture Management (DSPM), a set of tools that monitor and protect sensitive data. Those vendors now face pressure to add ways to watch non-human actors.
Cyera says adding Ryft will give it better visibility and control over AI-driven data activity. That can help with governance and compliance as AI use grows 1.