Cyera Has Acquired Ryft in a Strategic AI Security Deal
Edited by Adam Harrie — May 15, 2026 — Business
This article was written with the assistance of AI.
References: calcalistech
Cyera acquired Israeli startup Ryft, a young cybersecurity firm that developed an automated data management platform for AI environments, featuring continuous monitoring of both human and AI-agent access to enterprise data. The deal, reportedly valued between $100 million and $130 million, brings Ryft’s founders and 15-person team into Cyera’s AI security division and follows Ryft’s earlier $8 million seed funding round.
Ryft’s platform automated data authorization, classification and optimisation processes to support secure and efficient access for AI agents and human users. The company counted customers including Sonos, Unity and Voodoo, and Cyera said the acquisition complements its broader data security platform following its recent $400 million Series F funding round.
For enterprises adopting AI systems and autonomous agents, the combined offering aims to strengthen governance and reduce security risk by embedding automated controls around data access and usage. The acquisition also reflects a broader trend toward integrated AI-focused cybersecurity platforms designed to support secure enterprise AI deployment at scale.
Image Credit: Cyera
Ryft’s platform automated data authorization, classification and optimisation processes to support secure and efficient access for AI agents and human users. The company counted customers including Sonos, Unity and Voodoo, and Cyera said the acquisition complements its broader data security platform following its recent $400 million Series F funding round.
For enterprises adopting AI systems and autonomous agents, the combined offering aims to strengthen governance and reduce security risk by embedding automated controls around data access and usage. The acquisition also reflects a broader trend toward integrated AI-focused cybersecurity platforms designed to support secure enterprise AI deployment at scale.
Image Credit: Cyera
Automated data controls for AI agents
Helps guide what AI security and data-governance features readers are most likely to adopt, evaluate, or switch to over the next few months.
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When was the last time you evaluated a tool to control access to company data?
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If you were deploying AI agents, would you adopt automated data access approvals?
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Which capability would most affect your choice of an AI data-security platform?
Trend Themes
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Automated Data Governance Platforms — Emerging platforms that automate authorization, classification and optimization present potential to embed policy-driven controls across AI pipelines, reducing manual compliance overhead and scaling governance.
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Continuous Monitoring of AI and Human Access — Real-time observability of both human users and autonomous agents offers the possibility of creating behavioral baselines and anomaly-detection services tailored to AI-driven data flows.
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Integrated AI-focused Cybersecurity Platforms — Consolidated solutions that unify data security, agent management and access controls could enable new vendor offerings that package risk-aware AI deployment as a managed enterprise service.
Industry Implications
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Enterprise Software — The shift toward embedded governance in enterprise stacks suggests opportunities for software suites that natively support secure AI workflows and centralized policy enforcement.
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Cybersecurity for AI — Specialized security products targeting AI-specific threats and agent behaviors may emerge to address gaps in traditional tooling around model-driven access and data usage.
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Data Management and Classification — Advances in automated classification and metadata-driven access controls indicate room for solutions that improve data observability and optimize datasets for AI consumption.
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