Cyera Raises $600M Series G at $12B Valuation as Data Security Becomes the AI Economy’s Control Layer

New York-based Cyera has raised $600M in Series G funding at a $12B valuation, bringing total funding to more than $2.3B. The round was led by Evolution Equity Partners and included participation from Cyberstarts, Temasek, Accel, AT&T Ventures, Blackstone, Coatue, Spark Capital, Georgian, Greenoaks, Lightspeed Venture Partners, Redpoint Ventures, Sapphire Ventures, and Sequoia Capital.

The funding arrives just 5 years after Cyera's founding in 2021 and underscores the growing importance of data security in enterprise AI environments. Cyera now operates across 18 countries, serves approximately 20% of the Fortune 500, and employs more than 1,500 people.

The bigger story is not the size of the round. The bigger story is what investors are betting on. As organizations rush to deploy AI systems, the ability to understand, govern, classify, and protect data is becoming a prerequisite for innovation rather than a compliance exercise.

Cyera's rise reflects a broader shift across cybersecurity, enterprise infrastructure, and AI markets: data security is moving from the background to the center of strategic decision-making.

What Happened

Some funding rounds feel like a company receiving validation. Others feel like a market making a declaration. Cyera's $600M Series G belongs in the second category. The New York-based data security company reached a $12B valuation while adding another blue-chip roster of investors to an already crowded cap table. Evolution Equity Partners led the round, while existing investors and strategic backers continued increasing their exposure to the company. That level of participation matters because venture firms are no longer investing in theoretical AI opportunities. The market has matured, and investors increasingly want infrastructure, governance, and security layers that become essential regardless of which AI models ultimately win.

Cyera sits directly in that path. Founded in 2021 by Yotam Segev (Co-Founder and CEO) and Tamar Bar-Ilan (Co-Founder and CTO), with Yonatan Itai (Co-Founder and VP of R&D) helping build the company from day 0, Cyera emerged from a problem the founders encountered while leading cloud security initiatives within Israel's Unit 8200. After interviewing more than 100 CISOs, the founders discovered a surprisingly consistent reality: many organizations could not confidently explain where sensitive data existed, who could access it, or whether it was adequately protected. That problem has only become more urgent.

Why This Matters

The AI boom has created a strange contradiction inside large enterprises. Companies want AI everywhere. Legal teams want controls. Security teams want visibility. Executives want speed. The data often sits somewhere in the middle wondering how it became everyone's problem. That tension is creating an entirely new category of infrastructure spending.

Cyera's platform focuses on Data Security Posture Management (DSPM), data loss prevention (DLP), identity security, privacy controls, and agentic security. DSPM refers to technologies that help organizations discover, classify, monitor, and secure sensitive data across cloud and enterprise environments. Those categories may sound technical, but they all converge around one question: what data exists, who can access it, and what systems are allowed to interact with it? That question becomes increasingly important as AI agents gain access to enterprise systems, customer information, intellectual property, and operational workflows. AI systems inherit the risks, permissions, and vulnerabilities embedded within the data they consume.

The challenge facing modern enterprises is no longer collecting information. The challenge is understanding the information they already possess.

Market Context

Cybersecurity has historically followed a predictable pattern: first comes innovation, then adoption, then panic, then security spending. AI appears to be compressing that timeline. Organizations are deploying AI tools at a pace rarely seen in enterprise technology, while regulators, boards, CISOs, and customers are asking increasingly difficult questions about governance, access controls, privacy, and risk management.

That environment creates fertile ground for companies like Cyera. The company reports visibility into more than 1 zettabyte of data and serves roughly 20% of Fortune 500 organizations. Enterprise adoption at that scale is often viewed as a signal that a platform has moved beyond experimentation and into critical infrastructure territory. Investors are not merely funding a cybersecurity vendor. They are funding a control layer for enterprise AI adoption. That distinction helps explain why Cyera's valuation has accelerated so rapidly over the past several funding rounds.

Competitive Landscape

Data security has become one of the most competitive sectors in cybersecurity. Large platform vendors recognize the opportunity. Cloud providers continue expanding security capabilities. Established cybersecurity firms are racing to add AI governance features. Startups across data security, identity management, privacy, and AI security are all converging toward similar enterprise buyers.

Cyera's strategy has been expansion through both product development and acquisition. Since 2024, the company has completed 5 acquisitions while shipping more than 100 product capabilities over the past year. That pace reveals something important about the current market. The winners are unlikely to be companies that solve a single problem exceptionally well. The winners will likely be companies that provide unified visibility across increasingly fragmented environments. Enterprise buyers rarely want another dashboard. They want fewer blind spots.

What This Signals

The significance of Cyera's latest funding round extends beyond cybersecurity. It signals a broader shift in how markets evaluate AI infrastructure. For much of the past 3 years, capital flowed toward model providers, developer tools, and application layers. Those segments remain important, but investors are increasingly recognizing that enterprise adoption requires governance infrastructure capable of operating at scale.

Every organization wants AI outputs. Far fewer organizations have solved the data inputs. That gap represents one of the largest opportunities in enterprise technology today. Cyera's funding suggests investors believe data governance, security, and trust infrastructure will become long-term platform markets rather than temporary compliance categories. That is a very different investment thesis than simply betting on the next AI feature.

The Bigger Industry Shift

The most interesting technology stories are rarely about technology. They are about incentives. AI creates enormous incentives to move faster, while security creates enormous incentives to slow down. The companies that thrive over the next decade will help enterprises do both simultaneously.

Cyera's rise from a 2021 startup to a $12B company reflects that reality. Organizations no longer view security as a department that arrives after innovation. Security increasingly determines how innovation happens in the first place. That shift is changing purchasing decisions, board conversations, venture capital allocations, and product roadmaps across the technology ecosystem. The market is sending a message that extends far beyond one funding announcement: data has become the fuel of the AI economy, and trust is becoming the infrastructure.