Cyera Acquires Ryft to Secure AI Data Access

Cyera, the AI security platform, has acquired Ryft, an Israeli startup that built an automated, agent-ready data lake. The acquisition, estimated at $100 million to $130 million, folds Ryft's managed layer for authorization, classification, optimization, compliance, and traceability into Cyera's DSPM-focused stack. Ryft, founded in 2024 and backed by Index Ventures and Bessemer Venture Partners, is already deployed with customers including Sonos, Unity, and Voodoo. The combined product promises instantly traceable, secure data access for agentic AI without forcing data migration or vendor lock-in. Ryft CEO Yossi Reitblat will lead AI security efforts at Cyera, accelerating a unified control plane for agent-driven workflows and addressing the unique identity and auditability challenges posed by autonomous agents.
What happened
Cyera acquired Ryft, an Israeli startup that built an automated, agent-ready data lake, folding its managed data layer into Cyera's AI security platform. Financial terms were not disclosed, though market reports estimate the deal at $100 million to $130 million. Ryft, founded in 2024 and backed by Index Ventures and Bessemer Venture Partners, counts customers such as Sonos, Unity, and Voodoo. Ryft CEO Yossi Reitblat will lead AI security activities at Cyera after close.
Technical details
Ryft provides a managed layer that automates authorization, classification, optimization, compliance, disaster recovery, and governance for data lakes. Its architecture is designed to sit alongside existing query engines and analytics tools, avoiding mandatory data migration and reducing vendor lock-in. Key capabilities Ryft brings include:
- •automated access tracing and audit trails for both human users and AI agents
- •policy-driven authorization and classification to keep data queryable but governed
- •performance optimization and disaster recovery tailored for agentic workloads
Technical details continued
Cyera will integrate Ryft to extend its DSPM and DLP capabilities into an agentic control plane that links data observability with actionable security controls. Practitioners should expect the combined stack to emit higher-cardinality access logs and richer attribution metadata to support forensic queries and compliance reporting. Integration priorities will include scalable telemetry ingestion, low-latency policy evaluation during query planning, and identity mapping across agent chains where an agent shifts identity based on tools, tasks, or delegation.
Context and significance
The deal signals how enterprise security vendors are repositioning for agentic AI, where autonomous systems access, aggregate, and act on sensitive corporate data. Cyera already raised a large Series F earlier this year and is positioning itself as a comprehensive platform for data security in the age of agents. Adding an AI-ready data lake addresses one of the biggest gaps in enterprise AI: obtaining clean, traceable, and performance-ready data without creating another silo. Competitors in adjacent spaces include traditional data governance and data-mesh solutions, but the combined Cyera-Ryft value proposition centers on traceability and run-time controls tailored for autonomous agents rather than batch governance alone.
Operational implications for practitioners
Security and data teams will need to plan for:
- •ingest and storage cost impacts from increased telemetry and audit retention
- •policy modeling that accounts for agent chains of delegation and transient identities
- •integration with existing query engines, BI tools, and catalog systems to avoid workflow disruption
What to watch
Track Cyera's roadmap and product releases to see how Ryft's managed layer is exposed as APIs and controls, and whether Cyera announces native connectors for major query engines or standardized audit schemas. Also watch for customer case studies that demonstrate low-latency authorized access for agentic workloads and concrete compliance outcomes.
Bottom line
This acquisition tightens Cyera's hold on the intersection of data security and agentic AI. For teams deploying autonomous agents, the merged capability addresses a practical shortcoming: enabling fast, governed data access with end-to-end traceability, while minimizing migration and vendor lock-in risk. Implementation will still require work on telemetry scale and identity modeling, but the acquisition materially advances solutions for secure, auditable agentic workflows.
Scoring Rationale
This acquisition is notable because it integrates an agent-aware data layer into a leading AI security platform, addressing a pressing enterprise need. It is not a paradigm-shifting event, but it materially advances operational security for agentic AI and signals competitive consolidation.
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