Cyera, a cybersecurity company focused on securing enterprise AI and data, announced that it has raised $600 million in a Series G funding round, bringing its valuation to $12 billion. The company said the financing will accelerate development of what it describes as the trust layer needed to support large-scale AI adoption across enterprises.
According to Cyera, many organizations are struggling to distinguish between human-generated activity and AI-generated activity within their own systems, creating visibility and governance challenges that have slowed AI transformation efforts. The company believes the next phase of AI infrastructure requires technologies that govern what AI systems can access, understand, and act upon.
The new funding round was led by Evolution Equity Partners, with participation from Cyberstarts, Temasek, and all existing investors, including Accel, AT&T Ventures, Blackstone, Coatue, and Spark Capital. With more than $2 billion in total funding, Cyera said it has become one of the world’s most valuable privately held cybersecurity companies.
Over the past year, Cyera said it introduced more than 100 new capabilities spanning Data Security Posture Management (DSPM), privacy, identity, Data Loss Prevention (DLP), and agentic security. The company said these additions have expanded its platform into a comprehensive trust layer for enterprises deploying AI technologies.
Cyera also reported that annual recurring revenue has tripled for three consecutive years. During the last 18 months, the company expanded to more than 1,500 employees across 18 countries and completed five acquisitions, including Ryft and Genie, to strengthen its AI governance capabilities.
The company said its AI-native platform can discover and classify exabytes of data with more than 95% precision, enabling enterprises to identify sensitive information and enforce access controls without disrupting existing workflows. Cyera said the platform combines DSPM, DLP, identity, and behavioral capabilities into a unified offering designed to manage everything AI systems can see and do.
Customers using the platform include Paramount, Chipotle, and Valvoline.
KEY QUOTES:
“Our customers are some of the most sophisticated companies in the world. The one thing they all share is the urgency to lead AI transformation at a scale and speed the world has never seen. Trust is what makes that possible – knowing what your AI can see and do. That’s the infrastructure layer the industry has been missing, and it’s what we’ve been building alongside our customers since day one. Cyera is that trust layer, and this funding is fuel to build it faster for every company trying to win in today’s agentic era.”
Yotam Segev, Co-Founder and CEO of Cyera
“In a world where data is the fuel for innovation, Cyera helps provide us with visibility and context to enable secure AI at scale. It helps us accelerate AI adoption by knowing and controlling what AI can see and do.”
Rich Baich, CISO at AT&T
“Over 25 years of investing in cybersecurity, it has been our experience that the companies that define infrastructure possess the depth and capabilities that solve problems competitors simply cannot. Cyera has done that – built the layer that informs enterprises what their AI can see, learn from, and act on, at scale with precision. We are thrilled to back Cyera on this exciting journey.”
Richard Seewald, Founder and Managing Partner at Evolution Equity Partners
“We backed Cyera before the thesis was obvious and watched them navigate more market transformations in five years than most companies see in a decade. Now the world has caught up. Every enterprise deploying AI at scale is running into the same wall – they can’t trust what their AI can see and do, and without solving that, they’re taking on risk that could define or even destroy their organization. Cyera is the only company built to solve that with the depth and scale the world’s largest enterprises require. This round is about getting there faster.”
Lior Simon, General Partner at Cyberstarts
Correction: An earlier version of this article said that the funding was at $300 million due to incorrect information from sources.
