Last updated: 2026-08-19
Cyera is an AI-native data security platform delivering agentless data discovery, classification, and loss prevention across enterprise cloud and on-premises environments. Valued at $12 billion in June 2026, it connects to a customer's data stores with no software agents to install on any individual system.
About Cyera
Cyera is an AI-native data security platform founded in 2021 by Yotam Segev and Tamar Bar-Ilan that enables enterprise security teams to discover, classify, and protect sensitive data across cloud, SaaS, and on-premises environments. The company raised over $2.3 billion in funding and reached a $12 billion valuation in June 2026, with annual recurring revenue of approximately $150 million. Cyera serves Fortune 500 companies who need to answer four core questions: what sensitive data exists, where it lives, who can access it, and how to stop risky use of it including by AI systems.
At RSAC 2026 in March, Cyera added Browser Shield for AI, Data Lineage for files, and a Model Context Protocol server to the platform, extending it from data security into AI security posture management. Forrester named Cyera a Leader in its Q2 2026 Wave for Sensitive Data Discovery and Classification Solutions, and the company extended its DLP integration to cover Claude Enterprise via the Anthropic Compliance API in May 2026. Cyera maintains SOC 2 Type II, HIPAA, ISO 27001, and GDPR certifications, documented at its SafeBase-powered trust center, and integrates with Okta, ServiceNow, Slack, Alation, Elastic, Cohesity, GitHub, Microsoft 365, AWS, Azure, GCP, and Snowflake. Pricing is enterprise-only with no published rates or free tier; see the cost FAQ below for typical deal size.
Pricing
Enterprise pricing only, no public rates. Estimated at approximately $2,000 per terabyte; typical minimum engagement starts around $50,000/year. No free tier.
Pricing requires direct sales engagement.
Key Features
- Agentless DSPM: Deploys to cloud accounts and SaaS platforms in minutes without software agents, scanning petabytes of structured and unstructured data across AWS, Azure, GCP, Microsoft 365, and Snowflake.
- AI-Native Classification Engine: Classifies sensitive data at 95%+ precision using contextual AI models that understand business meaning, going beyond regex patterns to cut the false positives that overwhelm legacy DLP tools.
- Omni DLP: Connects via API to existing DLP tools from Zscaler, Netskope, Palo Alto Networks, and Microsoft Purview, ingesting their alerts and using Cyera's data context to reduce false positives and auto-tune policies.
- AI Guardian (AI-SPM): Monitors AI tool usage across the organization including Browser Shield for real-time prompt inspection inside the browser and AI Firewall for blocking sensitive data from reaching external AI models without authorization.
- Cyera MCP Server: A Model Context Protocol server launched in March 2026 that connects Cyera's data and AI security context into AI assistants like Microsoft Copilot, Claude Code, and Cursor, cutting investigation time for security analysts.
- Data Lineage for AI: Automatically maps how AI agents move, copy, and transform sensitive files throughout their lifecycle, giving security teams a clear audit trail for every piece of data touched by agentic workflows.
- Compliance Readiness Module: Continuously maps discovered data risks to regulatory frameworks including GDPR, SOC 2, PCI-DSS, HIPAA, and NIST, generating evidence packages that reduce the manual work of compliance reporting.
Pros
- Agentless deployment connects to cloud accounts in minutes and starts classifying data immediately, far faster than legacy DSPM tools that require weeks of agent rollout and policy tuning.
- AI Guardian's Browser Shield addresses the specific risk of employees sharing sensitive data with public AI tools like ChatGPT, a gap that traditional DLP products were not built to handle inline.
- Cyera MCP exposes data security context directly inside AI coding and work tools, letting security analysts run natural-language threat queries without switching to a separate security console.
Cons
- Enterprise pricing with no free tier and no published rates makes early-stage budget evaluation difficult; teams must engage sales before they can run a proof of concept.
- Reporting flexibility is limited: users consistently note the lack of self-serve report generation and must rely on Cyera's team for custom reports needed for executive or board presentations.
- Performance at very large data estates can be constrained by a 50-scan-per-day limit and slower scanning speeds, which may require phased rollout plans for companies with petabyte-scale holdings.
Data Handling
- Training-data policy
- Does not disclose whether customer data is used for model training. Enterprise agreements govern data handling. Full policies are documented at security.cyera.io.
- Compliance
- SOC 2 Type II · HIPAA · ISO/IEC 27001 · GDPR
Frequently Asked Questions
How much do you pay for Cyera?
Cyera does not publish pricing and requires a sales engagement before providing a quote. Market estimates put the cost at approximately $2,000 per terabyte of data scanned, with a typical minimum contract starting around $50,000 per year and no monthly or self-serve option. Final pricing scales with data volume, connected environments, and which modules (AI Guardian, Omni DLP, Cyera MCP) are enabled.
Does Cyera have a free plan?
Cyera has no free tier, free trial, or self-serve sign-up; every evaluation runs through Cyera's sales team as a scoped proof-of-concept. There is no community or open-source edition either. Teams without a dedicated enterprise security budget are unlikely to be a fit, and should look at lower-cost or open-source DSPM alternatives instead.
Which tools compete with Cyera in 2026?
The closest alternatives are Varonis, Wiz, BigID, and Microsoft Purview. Varonis offers two decades of access-governance depth but is retiring its on-premises product by the end of 2026 in favor of SaaS. Wiz suits teams that want DSPM bundled inside a broader cloud security platform rather than a standalone tool, while Microsoft Purview fits organizations already standardized on the Microsoft cloud and Azure stack.
Cyera or Varonis: which should you pick?
Cyera is cloud-native and AI-native, built in 2021 specifically for multi-cloud environments with agentless deployment that skips software agents entirely. Varonis has two decades of access-governance and insider-threat depth but is retiring on-premises support by the end of 2026 and migrating customers to SaaS. Choose Cyera for AI-SPM and browser-level AI monitoring that Varonis does not offer; choose Varonis if you need its longer history of behavioral analytics and can work within its on-premises deprecation timeline.
How long does it take to get going with Cyera?
The first data scan typically completes within hours to days depending on data volume, but reaching that point starts with contacting Cyera's sales team through cyera.com for a demo and scoped proof-of-concept, since there is no self-serve signup. Once a contract is signed, onboarding connects cloud and SaaS accounts through agentless, API-only connectors before that first scan runs. Documentation lives at docs.cyera.io, with compliance material at security.cyera.io.
Top Alternatives
- HiddenLayer: HiddenLayer's focus sits on scanning ML model files for backdoors and blocking runtime prompt injection. Cyera instead classifies and secures the stored data itself across cloud and on-premises systems.
- Clawvisor: Clawvisor is a free, open-source authorization gateway that vaults credentials for AI agents. Cyera is the enterprise-priced, agentless option for data security across cloud and on-premises stores.
HokAI guides covering Cyera
- What You Actually Get When You Buy Cyera: Cyera launched Agent Guardian in August 2026, its sixth acquisition-fueled move this year. What the AI security platform ships today, and what it still doesn't.
- Clawvisor vs. Cyera: Why These Two AI Security Tools Aren't Really Competing: Clawvisor is free and built by one person. Cyera just raised $600M at a $12B valuation. Here is why picking between them is the wrong question for most teams.