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Proofpoint vs Cyera
Proofpoint vs. Cyera Data Security Posture Management
Turn data insights into action with built-in access governance.
Take a smarter, more unified approach to data security
Ever-growing data sprawl, poor governance, and insider risks leave sensitive data vulnerable, and the lack of proper controls before AI use compounds these vulnerabilities. Proofpoint Data Security Posture Management (DSPM) gives teams the visibility and controls they need to secure sensitive data and adopt AI safely.
When organizations compare Proofpoint with Cyera, they choose Proofpoint DSPM for autonomous custom classification, automated access governance workflows, and the ability to create DLP policies. In addition, Proofpoint integrates DSPM with data access governance and DLP on a unified platform for end-to-end data security and governance.
Why enterprises choose Proofpoint over Cyera
Complete visibility and control over data risks
Cyera provides a point product with limited visibility into data risk. Insights extend only to data at rest in SaaS, cloud, and on-premises data environments.
Proofpoint is built for the agentic workspace, where sensitive data spans SaaS apps, cloud and on-premises data stores, email, endpoints, and AI-driven workflows. Our unified platform delivers continuous visibility and control across data, users, and workflows for coverage that other DSPM vendors' point products can't match.
Unified governance and workflows
Cyera offers primarily guided remediation, and lacks workflow automation from risk findings to remediation. It also offers limited, fragmented remediation workflows for content owners and has no native DLP solution.
Proofpoint unifies DSPM, data access governance, enterprise DLP, and insider threat management in a single platform. With one policy engine, one console, and consistent risk scoring, security teams can govern data access holistically, without the inefficiencies of working across separate tools.
Highly accurate Autonomous Custom Classifiers
Cyera relies on data classification capabilities, with limited real-world validation and unproven accuracy at scale. The Cyera solution also relies on third-party DLP integrations, which add complexity and can lead to inconsistent policy enforcement.
Proofpoint delivers Autonomous Custom Classifiers validated on the industry's largest enterprise datasets and proven across the world's largest organizations. With native DSPM and DLP integration, these classifiers provide immediate, high-accuracy protection at scale without the need for re-tuning or complex integrations.
Proofpoint vs. Cyera DSPM
| Capability | Proofpoint DSPM | Cyera DSPM |
|---|---|---|
| Unified data security and user risk monitoring across SaaS, cloud, on-prem, email, and endpoints |
Yes
|
No
|
| End-to-end data access governance, including file owner workflows and DLP policy creation |
Yes
|
No
|
| Mature AI classifiers that learn continuously and automatically, offering 95%+ accuracy |
Yes
|
No
|
| Uniform classification across DSPM, data access governance, and DLP |
Yes
|
No
|
Reduce security risk with Proofpoint Data Security Innovations
Proofpoint: trusted by security leaders and independently validated
Organizations choose Proofpoint because it consistently delivers real operational value at scale. Security leaders rely on Proofpoint to reduce noise, accelerate response, and simplify governance across complex environments.
In a technical validation by Enterprise Strategy Group (ESG), Proofpoint DSPM demonstrated strong capabilities in automated discovery, high-accuracy classification, and operational efficiency across modern cloud and SaaS environments.
The number of false positives with Proofpoint DSPM is significantly less, which helped us save 60% of the time interacting with the product teams.
Venkat Valleru
Principal Compliance & Security Engineer, Informatica
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FAQ
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How is Proofpoint DSPM different from Cyera?
Proofpoint DSPM is part of a unified data security platform. It combines data discovery, classification, access governance, DLP, and insider risk management. This lets security teams identify, prioritize, and remediate data risk in one workflow...Proofpoint DSPM is part of a unified data security platform. It combines data discovery, classification, access governance, DLP, and insider risk management. This lets security teams identify, prioritize, and remediate data risk in one workflow.
Cyera focuses on DSPM capabilities for discovering and classifying sensitive data across cloud, SaaS, and on-premises environments. It relies on integrations for enforcement. It does not provide native DLP, access governance, or user risk analysis.
For organizations comparing Proofpoint vs. Cyera, the key difference is classification accuracy and operational efficiency. Proofpoint supports highly accurate, custom classification and end-to-end data security and governance. Cyera focuses on visibility into data risk, with limited built-in control and automation.
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How do you choose the right DSPM solution?
To choose the right DSPM solution, focus on more than its data discovery features. It's essential to evaluate how well a solution reduces risk, not just how it surfaces risk. Key factors to consider include:To choose the right DSPM solution, focus on more than its data discovery features. It's essential to evaluate how well a solution reduces risk, not just how it surfaces risk.
Key factors to consider include:
- Visibility across data, users, and workflows, not only data at rest
- Accuracy and maturity of data classification at scale
- Built-in access governance with automated remediation
- Native DLP for consistent policy enforcement
- Support for SaaS, cloud, email, endpoints, and AI workflows
Many DSPM vendors focus on identifying sensitive data. More advanced platforms, such as Proofpoint, also help teams govern access, enforce policies, and reduce risk continuously without relying on disconnected tools.
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Is DSPM enough to secure sensitive data on its own?
DSPM provides visibility into where sensitive data resides and how it is exposed. On its own, it does not enforce policies or prevent data loss...DSPM provides visibility into where sensitive data resides and how it is exposed. On its own, it does not enforce policies or prevent data loss.
Without DLP and access governance, teams must rely on manual processes or separate tools to remediate risk. This can slow response times and create gaps in enforcement.
A more effective approach combines DSPM with enforcement and governance. Proofpoint integrates DSPM with DLP, data access governance, and insider risk management. This allows teams to move from insight to action without added complexity.
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Why combine DSPM with DLP and access governance?
DSPM identifies sensitive data and highlights risk. DLP and access governance control how that data is accessed, shared, and used...DSPM identifies sensitive data and highlights risk. DLP and access governance control how that data is accessed, shared, and used.
When these capabilities are spread across multiple tools, teams often deal with fragmented workflows and inconsistent policies. This can delay remediation and increase the chance of error.
A unified platform brings these functions together. It allows teams to apply consistent policies, automate remediation, and manage data risk more efficiently. Proofpoint delivers this approach in a single platform.
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How does Proofpoint support data security in AI-driven and cloud-first environments?
Modern enterprises operate across SaaS, cloud infrastructure, endpoints, and AI-driven workflows. These environments increase both the volume of sensitive data and the speed at which it moves...Modern enterprises operate across SaaS, cloud infrastructure, endpoints, and AI-driven workflows. These environments increase both the volume of sensitive data and the speed at which it moves.
Proofpoint provides continuous visibility into sensitive data and user behavior across these environments. It applies consistent policies at scale. Its AI-driven classification and automation help teams identify risk and reduce exposure in real time.
This approach allows organizations to adopt AI and cloud technologies with confidence while maintaining strong data governance and control.
