Cyera — the AI security platform built for the age of autonomous agents — announced today that it has acquired Ryft, the first‑of‑its‑kind secure and automated data lake designed for AI agents. The deal, valued at an undisclosed sum, adds Ryft’s modern data‑infrastructure capabilities to Cyera’s rapidly expanding portfolio of tools that protect the data pipelines feeding today’s generative‑AI workloads.
What the deal entails
Cyera’s acquisition of Ryft marks its fourth purchase in five years and follows a $400 million Series F round that lifted the company’s valuation to $9 billion. Ryft, founded in 2024 and backed by Index Ventures and Bessemer Venture Partners, already serves enterprises such as Sonos, Unity and Voodoo with a self‑service data lake that couples granular access controls with automated governance. By folding Ryft’s technology into its own stack, Cyera aims to offer a unified “control plane” that can trace, audit and secure data as it moves through AI agents, LLMs and downstream applications.
Technology behind Ryft’s secure data lake
At its core, Ryft provides a cloud‑native data lake that abstracts storage from compute while embedding policy‑as‑code, encryption‑in‑motion and immutable audit trails. Unlike traditional data warehouses that rely on static role‑based access, Ryft’s engine can recognize the dynamic identity shifts typical of autonomous agents—each task, tool or delegated sub‑agent may assume a new persona. The platform therefore logs not only who accessed a dataset but also the chain of delegation that led to the request, a capability Cyera calls “agentic provenance.”
Why the acquisition matters for agentic AI
Enterprise AI adoption is accelerating: Gartner predicts that by 2027 70 % of organizations will have deployed at least one AI‑driven autonomous system, up from 30 % in 2023. With that surge comes a growing attack surface; compromised agents can exfiltrate or corrupt critical data in seconds. Cyera’s existing portfolio already monitors data‑at‑rest, data‑in‑motion and data‑in‑use, but it has lacked a native data‑lake layer that enforces security at the point of creation. Ryft fills that gap, allowing Cyera to secure the entire data lifecycle—from ingestion through model training and inference—without forcing enterprises to retrofit third‑party storage solutions.
Competitive context
The market for AI‑aware data security is still fragmented. Microsoft’s Azure Purview and Google Cloud’s Dataplex provide metadata governance, while Amazon’s Macie focuses on data loss prevention for S3. However, none of these services natively address the identity‑fluid nature of AI agents. By contrast, Cyera‑Ryft’s combined offering promises a tighter feedback loop: agents query data, the platform logs the agent’s intent, and security policies can be applied or revoked in real time. This approach could challenge the “big‑cloud” monopoly on AI data governance and give enterprises a vendor‑agnostic alternative that works across multi‑cloud environments.
Implications for enterprise AI teams
For data scientists, ML engineers and AI product managers, the acquisition translates into fewer manual compliance steps. A typical workflow—pulling raw logs into a training pipeline, fine‑tuning an LLM, then deploying the model as an autonomous chatbot—now generates a single, auditable provenance record. Marketing teams that rely on AI‑generated content can also benefit: the platform can enforce brand‑safe data sources, ensuring that generated copy does not inadvertently expose confidential information. In practice, this could reduce the time spent on data‑privacy reviews by up to 30 %, according to a Forrester estimate on automated governance tools.
Future outlook
Cyera’s next milestone will likely be the rollout of a “one‑click” agentic security suite that integrates directly with popular LLM frameworks such as Hugging Face Transformers and Azure OpenAI Service. If the combined platform can deliver the promised real‑time policy enforcement, it may set a new standard for AI‑first enterprises and force rivals to accelerate their own agent‑aware roadmaps. The acquisition also signals a broader industry shift: securing data at the point of AI consumption, rather than treating security as an afterthought.
Market Landscape
The AI security market is projected to exceed $12 billion by 2028, driven by rising regulatory scrutiny and the proliferation of generative‑AI workloads. While legacy data‑loss‑prevention vendors focus on static datasets, emerging players are targeting the “dynamic data” generated by autonomous agents. Cyera’s integration of Ryft positions it within the nascent “agentic AI security” niche—a segment that IDC expects to grow at a compound annual growth rate (CAGR) of 42 % over the next five years. Companies that adopt such solutions early may gain a competitive edge in compliance‑heavy sectors such as finance, healthcare and regulated manufacturing.
Top Insights
- Unified provenance: Ryft’s agent‑aware audit logs let enterprises trace every data request back through the chain of delegated AI agents.
- Reduced compliance overhead: Automating data‑governance at the lake level can cut privacy‑review cycles by roughly one‑third, according to Forrester.
- Competitive differentiation: Unlike Azure Purview or Google Dataplex, the Cyera‑Ryft stack enforces security policies in real time as agents act.
- Enterprise‑grade flexibility: The solution works across multi‑cloud environments, allowing firms to avoid lock‑in with any single cloud provider.
- Market momentum: With AI‑driven autonomous systems expected in 70 % of enterprises by 2027, demand for agentic security solutions is set to outpace traditional DLP tools.
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