Securing on-premises data often feels slow and complex, but it doesn't have to be.
As enterprises adopt AI and automation, on-prem data faces growing risk from misclassification, overexposure, and uncontrolled access. These risks are becoming harder to manage as data volumes grow and AI systems increasingly rely on enterprise data. Modern DSPM approaches use AI-native data classification and continuous risk analysis to secure on-prem data without slowing operations.
Despite widespread cloud adoption, on-premises data remains a critical foundation for modern enterprises. 39% of organizations still store most of their data on-prem, powering regulated workloads, legacy systems, high-performance applications, and core business operations.
Yet for many security teams, on-prem data is the least visible and most difficult to secure.
Why On-Prem Risk Is Growing
Most organizations now use both cloud and on-premises systems. They use the cloud for flexibility and scale, but keep important workloads on-premises for performance, compliance, and operational needs.
At the same time, risks around on-premises data are changing. As data grows, changes more frequently, and becomes available to AI and automation, misclassified or exposed data can be ingested, inferred, or misused at scale. This is why enterprises need security controls for the data that powers AI systems.
Legacy tools struggle to keep up. Static inventories and manual scans create blind spots, allowing sensitive data to move or or be accessed without teams realizing it.
Securing on-prem data now requires more than knowing where data lives at a single point in time.. Teams need to identify risk as it emerges, understand its business impact, and act quickly to reduce exposure without slowing operations.
How Cyera Helps Secure On-Prem Data
Cyera’s DSPM platform helps organizations secure on-prem data by delivering autonomous discovery, enriched classification, and actionable insights that enable confident remediation at scale.
Here’s how the platform works in practice:
- Fast deployment: Connector-less deployment delivers complete data visibility and rapid time to value-without ongoing connector maintenance or operational drag.
- Classification teams can trust: Cyera’s enriched classification uncovers sensitive data across structured and unstructured sources, including what is unique to your business. Built on an AI-native engine, Cyera continuously adapts to your environment based on business context and classifies data automatically, without manual tuning or rule maintenance.
- Data, Identity, and Access Convergence: Map every data asset to human and non-human identities, understand who can and did access it, and enforce least-privilege controls.
- Effective Prioritization: AI-driven severity scoring correlates sensitivity, identity, and exposure to surface the highest-impact risks-dramatically reducing noise for analysts.
- Actionable Insights: Address risks with confidence by using insights that are based on trusted data or by routing issues with context directly to data owners.
This approach gives teams the visibility, context, and speed required to reduce risk and support compliance across on-prem and cloud environments.
On-prem data isn’t going away, and neither is the risk created by outdated tooling and limited visibility. Meeting today’s security standards requires a data-first, automated approach that adapts as environments change.
FAQ: Securing On-Prem Data in Hybrid Environments
Q.) What is on-prem data security?
A.) On-prem data security focuses on protecting sensitive data stored in on-premises systems such as databases, file shares, and legacy platforms. It includes discovery, classification, access visibility, and remediation to reduce exposure and support compliance.
Q.) Why is on-prem data security still important?
A.) Many enterprises keep regulated workloads on-prem for performance and compliance reasons, including frameworks such as GDPR and HIPAA, which require strong visibility and access controls.
Q.) How does Cyera DSPM improve on-prem data security?
A.) Cyera DSPM provides autonomous discovery, enriched classification, and proactive remediation across on-prem data stores. Unlike traditional DSPM tools, Cyera automatically adapts as data changes and helps teams focus on the highest-impact risks using a modern DSPM platform.
Q.) What role does AI-native data classification play?
A.) AI-native data classification identifies sensitive and proprietary data based on content and context rather than static patterns like regex. This is especially important for reducing risk as enterprises adopt AI, where stronger AI data security controls are required.
Q.) How is on-prem DSPM different from legacy tools?
A.) Legacy tools rely on manual scans and static inventories. DSPM designed for on-prem environments monitor data, correlate access and exposure, and enable confident remediation.
Q.) How does on-prem data security fit into hybrid environments?
A.) Modern on-prem data security integrates with cloud environments, providing unified visibility and consistent risk management across hybrid data estates.
Want to see it in action? Book a demo to see how Cyera secures on-prem data at scale.
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