Cyera
Cloud data security software
Data-centric security software
Data loss prevention (DLP) software
Cloud security software
Data security software
Data security posture management (DSPM)
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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- Healthcare and life sciences
- Retail and wholesale
- Transportation and logistics
What is Cyera
Cyera is a data security posture management (DSPM) platform that discovers and classifies sensitive data across cloud data stores and SaaS environments, then identifies exposure, access risks, and misconfigurations. It is used by security, risk, and data platform teams to understand where sensitive data resides and to prioritize remediation. The product emphasizes agentless scanning, data classification, and risk-based findings tied to identities, permissions, and data locations.
Broad cloud data discovery
Cyera focuses on discovering data across common cloud data repositories and mapping where sensitive data resides. This supports inventory and visibility use cases that are foundational for data-centric security programs. The approach aligns with DSPM expectations in the category, where coverage across multiple data services is a key differentiator.
Risk context for remediation
The platform correlates sensitive data findings with access paths, identities, and configuration posture to surface actionable risks. This helps teams prioritize remediation beyond raw classification results. It supports workflows such as reducing overly broad access, addressing exposed data stores, and tightening controls around high-risk datasets.
Agentless deployment model
Cyera is commonly positioned as agentless, reducing the need to deploy endpoint agents or modify application code for initial visibility. This can shorten time to value for cloud data discovery and posture assessment. It also fits organizations that prefer centralized scanning and policy enforcement over host-based tooling.
Control enforcement may vary
DSPM tools often excel at visibility and prioritization, but enforcement capabilities can depend on integrations with cloud providers, IAM, and downstream security controls. Organizations may still need separate tools or native cloud controls for blocking, quarantine, or inline prevention in some workflows. Buyers should validate which remediation actions are automated versus advisory in their environment.
Classification tuning required
Accurate sensitive-data classification typically requires tuning, validation, and ongoing maintenance to reduce false positives/negatives. This is especially true for custom data types, industry-specific identifiers, and unstructured content. Teams should plan for iterative policy refinement and sampling-based verification.
Coverage depends on connectors
Supported data sources and depth of inspection depend on available connectors and API access for each cloud service or SaaS application. Some environments (legacy systems, niche SaaS, or restricted networks) may require compensating processes or partial coverage. Prospective customers should confirm support for their specific data platforms and regions.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| DSPM (Data Security Posture Management) | Custom / Contact sales (Get a custom quote) | Unified AI-native platform; discovery, enriched classification, contextual risk scoring, remediation; pricing tied to customer outcomes; optional add-ons (DataWatcher, Data Subject Request Automation). |
| DLP (Data Loss Prevention) | Custom / Contact sales (Get a custom quote) | Unified AI-native DLP built on same platform; automated classification and remediation; pricing tied to environment-specific factors; optional add-ons available. |
Seller details
Cyera, Inc.
New York, NY, USA
2021
Private
https://www.cyera.io/
https://x.com/cyera_io
https://www.linkedin.com/company/cyera/
