Cyera announced a $540 million Series E financing on June 11, 2025, valuing the enterprise data-security company at $6 billion and taking its stated total funding above $1.3 billion. Georgian, Greenoaks and Lightspeed Venture Partners led the round, joined by existing backers Accel, Coatue, Cyberstarts, Redpoint, Sapphire Ventures, Sequoia Capital and Spark Capital.
The financing was intended to fund acquisitions, hiring, product development and expansion into new and existing markets. It was a major 2025 milestone, not Cyera’s latest financing: the company later announced a $400 million Series F at a $9 billion valuation in January 2026 and a $600 million Series G at a $12 billion valuation in June 2026.
What happened in Cyera’s Series E
Cyera’s June 11, 2025 announcement said the Series E arrived roughly six months after its previous financing. The company reported that its valuation had doubled in that period, from the $3 billion valuation disclosed with its November 2024 Series D to $6 billion.
| Item | Series E detail |
|---|---|
| Announcement date | June 11, 2025 |
| Round | Series E |
| Amount | $540 million |
| Announced valuation | $6 billion |
| Stated cumulative funding | More than $1.3 billion |
| Lead investors | Georgian, Greenoaks and Lightspeed Venture Partners |
| Existing investors participating | Accel, Coatue, Cyberstarts, Redpoint, Sapphire Ventures, Sequoia Capital and Spark Capital |
These transaction figures come from Cyera’s announcement and contemporaneous coverage by SecurityWeek. The announcement did not disclose revenue, profitability, ownership sold, liquidation preferences or whether the financing included secondary share sales.
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What Cyera sells
Cyera describes its product as an enterprise data-security platform. In practical terms, it aims to show an organization what sensitive data it has, where that data resides, who or what can access it and how to reduce the resulting exposure. Its platform scope is described on the company’s About page.
Core capabilities
- Data discovery and classification: locating sensitive information and labeling it according to sensitivity and context.
- Data Security Posture Management (DSPM): identifying risks across cloud environments, SaaS applications, databases, data stores and on-premises systems.
- Data Loss Prevention (DLP): detecting and, where configured, restricting risky movement or use of data.
- Privacy and compliance controls: supporting policy, regulatory and audit workflows.
- Identity and access governance: connecting data exposure to the people, applications and other identities that can reach it.
- Detection, investigation and remediation: helping security teams prioritize findings and take corrective action.
- AI-security controls: monitoring data used by copilots, foundation models, AI applications and software agents.
DSPM is not the same as conventional cloud-security posture management, which focuses primarily on cloud configuration. DLP is broader than endpoint-only blocking when it covers data at rest, in motion and in use. Cyera’s proposition is to combine discovery, classification, access context, posture management, enforcement and AI-related controls in one platform.
Why AI is central to the investment story
Generative-AI systems and copilots can process internal documents, source code, customer records, databases and intellectual property. That creates a data problem before it becomes a model problem: many organizations do not have a complete, current inventory of sensitive information or a reliable view of which people and software agents can use it.
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Cyera’s strategic argument is that enterprises need data-level visibility and policy enforcement as they adopt copilots, foundation models and AI agents. The company’s explanation of that strategy appears in its account of the Series E. “AI-powered” does not, by itself, establish a particular model architecture, accuracy level or autonomous capability; buyers still need to test how the product classifies and protects their own data.
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Cyera said that during the 18 months before the Series E it:
- increased Fortune 500 customer growth by 353% year over year;
- expanded operations to 10 countries and counting;
- more than doubled its workforce to nearly 800 employees;
- signed partnerships with major global systems integrators;
- doubled its customer base during the six months before the announcement; and
- launched nine new products, according to a contemporaneous company blog post.
These are company-reported operating claims, not independently audited metrics. The announcement did not provide revenue, annual recurring revenue, profitability, retention, customer concentration or independent product-performance measurements.
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How the Trail Security acquisition broadened the platform
In October 2024, Cyera acquired Trail Security for $162 million in cash and stock, according to Cyera’s newsroom history and SecurityWeek. Cyera used Trail’s data-loss-prevention technology to launch Omni DLP.
The deal helps explain the company’s platform strategy: acquisition capital was being used to move beyond finding and classifying data toward active policy enforcement. The Series E announcement did not specify how much of the new round would be reserved for acquisitions.
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What Cyera said it would do with the money
Cyera identified three broad uses of the proceeds:
- Acquisitions to broaden the platform.
- Hiring key talent and expanding the organization.
- Product and market expansion in new, existing and strategic markets.
No percentage allocation or detailed spending plan was disclosed. Likely outcomes include more international sales and support, additional product modules, larger enterprise deployments and expanded partner channels, but those are strategic possibilities rather than guaranteed results.
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Why investors made a large bet—and what it does not prove
The investor case presented by Cyera rests on rising demand for data visibility as companies adopt AI, a preference for integrated platforms over disconnected tools, and the company’s reported customer and valuation growth. Continued participation by several major venture firms also supplied financing support across multiple rounds.
Those statements explain the investors’ rationale; they do not independently prove that Cyera is the market leader or that its technology eliminates data-security risk. A large financing can fund expansion, but it does not guarantee product performance, customer retention or eventual returns for shareholders.
Funding timeline and the 2026 update
| Date | Event | Amount and valuation |
|---|---|---|
| April 9, 2024 | Series C | $300 million at $1.4 billion |
| October 17, 2024 | Trail Security acquisition | $162 million in cash and stock |
| November 20, 2024 | Series D | $300 million at $3 billion |
| June 11, 2025 | Series E | $540 million at $6 billion |
| January 8, 2026 | Series F | $400 million at $9 billion |
| June 10, 2026 | Series G | $600 million at $12 billion |
The chronology is based on Cyera’s newsroom listings, its Series F announcement and its Series G announcement. Do not add every round mechanically to Cyera’s stated totals: company “total funding” figures can include financing instruments or transactions that are not directly comparable.
What enterprise buyers should evaluate
A financing announcement is not a substitute for a technical evaluation. A prospective customer should test:
- Coverage: supported cloud providers, SaaS applications, databases, file stores, data lakes, endpoints and on-premises systems.
- Classification quality: precision, recall, context handling, explainability and false-positive rates on the buyer’s data.
- Deployment: connector, agentless, proxy and endpoint requirements.
- Remediation: whether the product can change permissions, quarantine data, block movement or only report findings.
- AI controls: visibility into copilots, models, agents and training workflows.
- Integrations: SIEM, SOAR, ticketing, identity, cloud-security and data-governance systems.
- Commercial model: pricing based on data volume, assets, users, connectors, scans, modules or enterprise scope.
Trade-offs and failure modes
- A unified platform can reduce tool sprawl but increase vendor concentration and migration costs.
- Broad discovery can generate more findings than teams can assign and remediate.
- Automated remediation can reduce exposure while creating change-management or business-continuity risk.
- Overly broad DLP policies may block legitimate collaboration and AI workflows.
- An inventory alone does not fix excessive permissions, poor ownership, shadow AI, weak retention practices or repositories outside the platform’s visibility.
Cyera does not publish standard self-serve pricing in the cited materials. Its product is sold through an enterprise evaluation; buyers should prepare their data-source inventory, cloud and SaaS footprint, regulatory requirements, identity systems, DLP use cases and AI applications before requesting a demo or assessment.
Frequently Asked Questions
Was the $540 million Series E Cyera’s latest funding round?
No. It was announced on June 11, 2025. Cyera later announced a $400 million Series F in January 2026 and a $600 million Series G in June 2026.
Did Cyera disclose how the Series E proceeds were allocated?
Only broad categories were disclosed: acquisitions, hiring, product development and expansion into new and existing markets. No percentage breakdown was provided.
The Bottom Line
The Series E made Cyera a better-funded competitor in enterprise data security and accelerated its move from discovery and posture management toward DLP and AI controls. Its $6 billion valuation reflected investor confidence in that market thesis, not independent proof that the platform will deliver the same results in every environment.
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