Cyberhaven vs.Hyperscaler-Native Data Security

Every major cloud service provider (CSP) offers some form of data discovery, classification, or DLP in its platform. These tools can be convenient, cost effective, and deeply integrated with the provider's own services. But convenience is not coverage. Hyperscaler-native data security tools are typically built to protect data within its own cloud ecosystem. These tools cannot follow data as it moves to endpoints, other clouds, SaaS applications, or GenAI tools. They lack comprehensive lineage, insider risk management (IRM), and capabilities to block exfiltration at the endpoint.

Cyberhaven provides a Unified AI & Data Security Platform that combines DLP, IRM, DSPM, and AI security capabilities across the entire data lifecycle. This cloud-agnostic solution offers comprehensive data security coverage for organizations that operate across multiple environments that only a purpose-built, cross-environment platform can deliver.

Top Three Reasons Teams Choose Cyberhaven

Cross-Environment
Visibility and Enforcement

Cyberhaven protects data everywhere it goes: endpoints, SaaS apps, cloud storage, email, GenAI tools, removable media, and print. Hyperscaler tools are confined to their own ecosystem. One is limited almost entirely to a single object storage service. Another focuses on its productivity suite and cloud services. A third operates primarily via API for its own cloud storage and analytics service. None of them can see or control what happens when data leaves their cloud boundary.

Full Data Lineage
Across Every Environment

Cyberhaven tracks data from origin through every copy, paste, upload, and transformation, regardless of where it moves. Hyperscaler tools classify data where it sits, using pattern matching and regex at the storage layer. They have no concept of data provenance, no ability to trace how a file was created or derived, and no way to connect a sensitive finding in cloud storage to the user who extracted it from an internal system.

Unified AI & Data
Security Platform

Cyberhaven combines data loss prevention, insider risk management, data security posture management, and AI security into a unified, natively-built platform. Whereas hyperscaler tools address only fragments of data security specific to their own platform, Cyberhaven provides comprehensive data security coverage across all major cloud service providers.

Detailed Comparison

Feature Comparison

As of March 2026

Cyberhaven

Hyperscaler-Native Data Security

Coverage Scope

Endpoint-to-cloud coverage across every environment. Cyberhaven covers Windows, macOS, and Linux endpoints, SaaS applications, cloud storage (across all providers), email, browsers, GenAI tools, removable media, AirDrop, and printing. One platform, one agent, one console.

Generally confined to a single cloud ecosystem. Data that moves outside the provider's boundary is typically invisible. Coverage tends to be limited to the vendor's own storage or productivity services.

Data Lineage

Full data lifecycle tracking. Cyberhaven traces data from origin through every interaction, modification, copy, and transformation. Lineage persists regardless of file name changes, format conversions, or movement across systems.

Generally no data lineage. Classification is typically point-in-time pattern matching at the storage layer, without tracking of provenance, derivation, or user interaction history.

Classification Approach

Multi-layered classification. Content inspection (regex, EDM, OCR), AI-driven classifiers, and data lineage context working together. This combination yields 95% fewer false positives compared to pattern-matching-only approaches.

Typically limited to predefined detectors and regex. Custom detection is generally restricted to regular expressions. Without lineage or behavioral context, false positive rates tend to be higher for non-standard data types.

Endpoint Protection

Lightweight, mature endpoint agent with real-time blocking, behavioral coaching, and SLA-backed performance across Windows, macOS, and Linux. Covers all egress vectors including desktop applications, USB, print, and AirDrop.

Generally no endpoint agents. These tools typically cannot monitor, detect, or block data movement on laptops or workstations. One provider offers endpoint DLP through a separate, additionally licensed product, but with documented limitations.

Insider Risk Management

Integrated IRM with file and application activity monitoring, risk scoring, investigation timelines, and behavioral analytics. Linea AI provides plain-language incident summaries.

Generally no insider risk management. Focus is typically on storage-layer discovery and classification, without user behavior monitoring, risk scoring, or investigation workflows.

Real-Time Enforcement

Native, inline blocking at the endpoint and across all egress channels. Adaptive enforcement with user coaching, justification prompts, and contextual decisions. Policies sync in seconds.

Often limited or no real-time blocking. One tool is discovery-only, requiring customers to build their own enforcement. Another's policies may take up to 24 hours to deploy across fragmented engines. A third generally operates via API without inline user-action blocking.

Multi-Cloud and SaaS

Cloud-agnostic operations. Cyberhaven protects data across AWS, Azure, GCP, and hundreds of SaaS applications from a single platform. Organizations are not locked into any single provider.

Typically single-cloud by design. Organizations on multiple clouds generally must deploy separate tools per provider, often resulting in no unified policies, inconsistent views, and limited cross-cloud data tracking.

GenAI Protection

Purpose-built AI security that monitors and helps control data flowing into multiple GenAI tools. Prevents sensitive data from being submitted as prompts or training inputs.

Generally limited GenAI coverage. One provider offers controls specific to its own AI assistant only. Others typically have no built-in controls for third-party GenAI tools. Data submitted to external AI services is usually invisible.

Investigation & Forensics

Built-in investigation timeline powered by data lineage. Every incident shows the complete chain of events: where data originated, how it moved, who touched it, and where it went. Linea AI provides instant, plain-language summaries.

Typically no unified investigation timeline. Findings generally must be manually correlated with cloud audit logs. Usually no lineage-based forensics or AI-assisted incident summarization.

Platform Unification

Built, not bought. DLP, IRM, DSPM, and AI security in a single console with one policy engine and one agent.

Generally fragmented by design. Data security capabilities are typically spread across multiple separate services with different engines, scopes, and enforcement models.

Cost Model

Predictable, bundled pricing based on endpoints protected. Core DLP, IRM, DSPM, and AI security capabilities included.

Typically usage-based pricing that scales with data volume scanned. Costs can become unpredictable and may escalate significantly as storage footprints grow. Advanced features often require licensing upgrades.

Real world impact