Cyberhaven vs.Hyperscaler-Native Data Security

Native data security tools built into the major cloud platforms. Strong within their own ecosystem, limited the moment data moves beyond it.

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Every major cloud service provider (CSP) offers some form of data discovery, classification, or data loss prevention (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 their own cloud ecosystem, so they generally cannot follow data as it moves to endpoints, other clouds, SaaS applications, or generative AI tools. Most offer limited data lineage, little or no insider risk management (IRM), and limited ability to stop exfiltration at the endpoint.

Cyberhaven delivers Data Security for the Agentic Enterprise across every environment, unifying DLP, data security posture management (DSPM), IRM, and AI Security on one cloud-agnostic platform. Cyberhaven traces the full lifecycle of your data and adapts protection to changing context, so you protect data wherever it moves, is used, and leaves, and act on risk before it becomes loss.

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 Data Lineage tracks data from origin through every copy, paste, upload, and transformation, and the trail persists through file renames and format changes. Hyperscaler tools classify data where it sits, using pattern matching at the storage layer.

Data Security for the Agentic Enterprise

Cyberhaven combines data loss prevention (DLP), insider risk management (IRM), data security posture management (DSPM), and AI Security on one natively built platform, with one agent and one console.

Detailed Comparison

Covered with Cyberhaven

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Feature comparison

Cyberhaven

Hyperscaler-Native Data Security

Coverage Scope

Cyberhaven

Endpoint-to-cloud coverage across every environment.

Windows, macOS, and Linux endpoints, SaaS, cloud storage, email, browsers, GenAI tools, removable media, AirDrop, and printing.

Hyperscaler-Native Tools

Generally confined to a single cloud ecosystem. Data outside the provider boundary is typically invisible.

Data Lineage

Cyberhaven

Full data lifecycle tracking

from origin through interactions, modifications, copies, and transformations. Lineage persists despite file name changes and format conversions.

Hyperscaler-Native Tools

Generally no lineage that follows content through its full lifecycle across environments. Some offer catalog or governance lineage at the metadata level, but not runtime, content-level tracking of provenance, derivation, or user interaction.

Classification Approach

Cyberhaven

Multi-layered classification:

content inspection (regex, exact data match, OCR), trainable AI classifiers, and Data Lineage context working together. Up to 95% fewer false positives than pattern-matching-only approaches.

Hyperscaler-Native Tools

Typically centered on predefined detectors and regex, though some add trainable classifiers and exact data match. Higher false positive rates for non-standard data types without lineage context.

Endpoint Protection

Cyberhaven

Lightweight, mature endpoint agent

with real-time blocking, behavioral coaching, and SLA-backed performance across Windows, macOS, and Linux.

Hyperscaler-Native Tools

Generally no endpoint agents. One provider offers endpoint DLP separately with documented limitations.

Insider Risk Management

Cyberhaven

Integrated IRM

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

Hyperscaler-Native Tools

Generally no insider risk management, though one provider offers it as a separate product. Focus is on storage-layer discovery and classification, without user behavior monitoring, risk scoring, or investigation workflows.

Real-Time Enforcement

Cyberhaven

Native, inline blocking

at the endpoint and across egress channels. Adaptive enforcement with user coaching and justification prompts. Policies sync in seconds.

Hyperscaler-Native Tools

Often limited or no real-time blocking. One tool is discovery-only. Another enforces in real time on endpoints and email once a policy deploys, though policy or group changes can take up to 24 hours to propagate. A third operates via API without inline user-action blocking.

Multi-Cloud and SaaS

Cyberhaven

Cloud-agnostic operations

protecting data across AWS, Azure, GCP, and hundreds of SaaS applications from a single platform.

Hyperscaler-Native Tools

Generally centered on each provider's own ecosystem. Cross-cloud reach is limited and mostly discovery-only, so multi-cloud teams often deploy a separate tool per provider, with inconsistent views and limited cross-cloud tracking.

GenAI Protection

Cyberhaven

AI Security

monitors data moving into browser, desktop, and command-line GenAI and AI-native developer tools, including ChatGPT, Microsoft Copilot, and Claude Code, and uses Data Lineage to see what the data is and where it came from.

Hyperscaler-Native Tools

One provider blocks sensitive data to third-party GenAI tools, but only through its separately licensed endpoint and browser product. Others generally have no native controls for third-party GenAI tools.

Investigation and Forensics

Cyberhaven

Built-in investigation timeline

powered by Data Lineage showing origin, movement, user interactions, and destination. Linea AI provides instant plain-language summaries.

Hyperscaler-Native Tools

Typically no unified, lineage-based investigation timeline. One provider now offers AI-assisted investigations, but analysts still correlate logs to reconstruct how data moved.

Platform Unification

Cyberhaven

DLP, IRM, DSPM, and AI Security in one console

with one policy engine and one agent. Built, not bought.

Hyperscaler-Native Tools

Generally fragmented by design, spread across multiple separate services.

Cost Model

Cyberhaven

Predictable, bundled pricing

based on endpoints protected. Core DLP, IRM, DSPM, and AI Security included.

Hyperscaler-Native Tools

Usage-based pricing that generally scales with the volume of data scanned. Costs can become unpredictable as storage footprints grow, and advanced features often require licensing upgrades.

Risk Detection Beyond Policies

Cyberhaven

Linea AI flags anomalous dataflows even when no policy exists,

scores the risk, and summarizes the incident in plain language.

Hyperscaler-Native Tools

Detection depends on predefined detectors and rules, with no anomaly detection across data movement.

Coverage Across Data at Rest, in Motion, and in Use

Cyberhaven

One platform covers data at rest

on endpoints, USB, network shares, and cloud connectors, plus data in motion and in use, tied together by Data Lineage.

Hyperscaler-Native Tools

Native tools see data at rest inside their own cloud, with little coverage of data in motion or in use once it leaves that boundary.

Real world impact

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Cyberhaven vs.Hyperscaler-Native Data Security

Top Three Reasons Teams Choose Cyberhaven

Cross-Environment Visibility and Enforcement

Full Data Lineage Across Every Environment

Data Security for the Agentic Enterprise

Detailed Comparison

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