Cyera was founded with a clear mission: to transform how organizations secure data in an increasingly cloud-native world. Enterprises generate and store more and more data across distributed environments, triggering the need for real-time visibility, control, and compliance has become a strategic imperative. Cyera’s platform addresses this challenge head-on—offering autonomous data discovery, classification, and risk mitigation built natively for today’s cloud architecture.
About Cyera
Cyera was founded in 2021 by former Israeli intelligence officers Yotam Segev and Tamar Bar-Ilan, who identified a fundamental gap in how enterprises manage and secure data in the cloud. Their vision was to create a platform that could deliver continuous, real-time visibility into sensitive data—without the need for agents, manual mapping, or heavy integrations.
At its core, Cyera is a cloud-native data security platform built for scale, speed, and automation. It enables organizations to discover, classify, and protect sensitive data across multi-cloud environments—in real time. The platform goes beyond static compliance checklists, empowering security teams with dynamic risk insights, context-aware access controls, and actionable remediation.
Market context
Enterprise data is growing at an unprecedented pace—driven by the adoption of multi-cloud environments, globally distributed workforces, and the rapid integration of AI technologies.
Enterprises adopting multi-cloud - Organizations are increasingly leveraging multiple cloud providers (e.g., AWS, Azure, GCP) to optimize performance, cost, and resilience. This decentralization of infrastructure leads to fragmented data environments, making it harder to maintain consistent security and compliance policies across systems.
Remote and hybrid workforces - The shift to distributed teams has expanded the attack surface. Employees now access sensitive data from a wide range of devices and locations, increasing the risk of data exposure and making identity-aware security controls essential.
AI-driven data proliferation - The adoption of AI and large language models (LLMs) is accelerating the creation, duplication, and movement of sensitive data across internal and third-party systems. Enterprises face growing challenges in tracking data lineage, controlling access, and ensuring regulatory compliance in real time.
Competitive landscape
Incumbents (e.g., Varonis, Imperva, Symantec) - Legacy data security providers have strong brand recognition but were built for on-premise or hybrid environments. Their tools often require agents, manual configurations, or lack real-time visibility in modern cloud infrastructures—limiting their effectiveness in dynamic, multi-cloud environments.
Emerging players (e.g., Laminar, Dig, Symmetry Systems) - A wave of cloud-native startups has entered the market, focused on data discovery and protection in public cloud environments. Laminar’s acquisition by Rubrik underscores market consolidation and the strategic value of agile, API-first data security platforms.
Hyperscaler-native tools (e.g., AWS Macie, Azure Purview, Google DLP) - Cloud service providers offer native security tools, but these are often siloed within their ecosystems and lack multi-cloud capabilities. They can be valuable point solutions but fall short for organizations operating across multiple cloud platforms or requiring centralized governance.
Business model & Product
Cyera is a cloud-native data security platform that helps organizations see, understand, and protect their sensitive data across AWS, Azure, and Google Cloud. It automatically discovers and classifies data—like personal or health information—without needing agents or manual work. Cyera shows who has access to what data, highlights potential risks, and lets teams set and enforce security policies in real time. The platform also connects easily with tools companies already use, like Splunk, Okta, and ServiceNow, making it simple to respond quickly and stay compliant.
Product features
Autonomous discovery and classification - Cyera continuously scans cloud storage, databases, and SaaS applications to automatically identify sensitive data such as personally identifiable information (PII), protected health information (PHI), intellectual property, and other critical assets. This agentless approach requires no manual tagging or configuration, reducing operational overhead while ensuring comprehensive data coverage across complex multi-cloud environments.
Risk prioritization & Remediation workflows - Cyera’s platform assesses risk by analyzing data sensitivity, access permissions, and user behavior to highlight the most critical exposures. By focusing on real-world risk factors, it enables security teams to prioritize vulnerabilities that pose the greatest threat of data breaches or compliance issues. Once risks are identified, built-in, customizable remediation workflows guide teams through step-by-step actions—such as access revocation or policy updates—streamlining response times and ensuring consistent enforcement of security controls across the organization.
AI-enhanced data mapping - Leveraging machine learning, Cyera constructs detailed maps of data movement and relationships within and across cloud environments. This dynamic mapping enables organizations to understand data lineage, detect unusual access patterns, and maintain visibility into how sensitive information flows through their infrastructure—critical for both security monitoring and regulatory compliance.
Revenue model
SaaS licensing for enterprise usage - Cyera primarily operates on a subscription-based Software-as-a-Service (SaaS) model, where enterprises pay recurring fees based on the number of cloud accounts, users, or data volume under management. This predictable revenue stream supports scalable growth and ongoing product innovation.
Integrations with cloud service providers (CSPs) - The platform offers seamless integration with major cloud providers like AWS, Azure, and Google Cloud, enabling bundled offerings or joint go-to-market partnerships. These collaborations can unlock additional revenue channels through reseller agreements or embedded security solutions.
Consumption-based pricing for large deployments - For organizations with extensive or dynamic cloud environments, Cyera provides flexible, usage-based pricing models that scale with data volume or API calls. This approach allows customers to align costs directly with their data security needs and growth.
Funding & Valuation
Cyera has quickly moved through important funding stages, starting with a $10 million seed round in 2021. In 2022, it raised a $56 million Series A from top venture capital firms focused on cloud and security, which supported early product development and customer acquisition. The company followed this with a $100 million Series B in 2023, enabling it to scale its go-to-market efforts and deepen its platform capabilities. Most recently, in 2025, Cyera completed a $540 million Series E round—bringing its total funding to over $1.3 billion and raising its valuation to $6 billion. Key investors across these rounds include Sequoia Capital, Accel, Redpoint Ventures, and several strategic cybersecurity operators, reflecting strong and sustained confidence in the company’s long-term potential.
Risks & Opportunities
Risks - Cyera faces several risks common in fast-growing tech markets. The data security space is crowded with many competitors, making it challenging to differentiate and capture market share. Regulatory fragmentation across regions—such as GDPR in Europe, CCPA in California, and emerging laws like the EU AI Act—adds complexity to product development and compliance efforts. Scaling into large enterprises also requires significant investment in sales, support, and customer success, which can pressure margins. Additionally, adoption may be slower in regulated or traditionally cautious industries like healthcare, government, and manufacturing, potentially limiting growth speed in those sectors.
Opportunities - Cyera has significant opportunities to grow by deepening its integration of AI technologies, enabling more intelligent and automated data protection that can keep pace with evolving threats. The company can also expand into new verticals such as financial services, healthcare, and the public sector, where data security is both critical and highly regulated. Additionally, Cyera’s cloud-native platform and strong IP make it an attractive acquisition target for large technology companies looking to enhance their security offerings or acquire specialized talent. Over time, Cyera has the potential to become a foundational layer in the enterprise data stack, providing essential visibility and control that organizations need to manage data securely across increasingly complex cloud environments.
The bottom line
Cyera is well-positioned to address the growing complexities of data security in today’s multi-cloud world. With its innovative, AI-driven platform, strong investor backing, and clear growth strategy, Cyera offers compelling value for enterprises looking to protect sensitive data and ensure compliance. While challenges remain in a competitive and evolving landscape, the company’s focus on automation, real-time risk management, and strategic expansion makes it a standout player in the data security ecosystem. For investors, Cyera represents a promising opportunity at the intersection of cloud transformation and cybersecurity innovation.
Published by Samuel Hieber