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Cyera Data Loss Prevention

AI-native data loss prevention solution that replaces legacy rule-based systems with automated, context-aware data protection that scales across cloud and on-premises environments.

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Overview

Cyera Data Loss Prevention is an AI-native Data Security platform that replaces legacy rule-based DLP with automated, context-aware data protection across cloud and on-premises environments, with pricing available through enterprise quotes (demo-based engagement). It is designed for mid-market and enterprise security teams, CISOs, and data protection officers who need to secure sensitive data at rest and in motion without the overhead of traditional DLP tooling.

Based on our analysis of 870+ AI tools in the directory, Cyera stands out in the Data Security category by combining agentless deployment with machine learning and large language model-driven classification. The platform discovers, scans, and classifies sensitive data across cloud data stores, SaaS applications, and on-prem repositories, then applies context-aware policies that follow the data wherever it moves. According to Cyera's own positioning, the DLP module operates "like a team of 30 with just 3 people" — every alert arrives pre-analyzed and actionable, and policies are pre-built so security teams can deploy protection in minutes rather than weeks. This is a sharp departure from legacy DLP products like Symantec DLP or Forcepoint, which often require months of rule tuning and dedicated administrators.

Key use cases include preventing accidental exposure of PII, PHI, and financial data in collaboration tools; stopping exfiltration through email, browsers, and endpoints; protecting sensitive data flowing into generative AI tools and LLMs; and maintaining compliance with GDPR, HIPAA, PCI-DSS, and emerging AI regulations. Cyera also recently announced a strategic partnership with Abnormal AI (February 2025) to defend against AI-driven email attacks, signaling a focus on the convergence of email security and data loss prevention. Compared to other data security platforms in our directory such as Varonis, BigID, and Microsoft Purview, Cyera differentiates through its agentless architecture, AI-first classification engine, and a unified "see data at rest, stop it in motion" approach that combines DSPM and DLP in a single platform — a meaningful advantage for organizations consolidating security tooling.

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Key Features

AI-Native Classification Engine+

Cyera uses machine learning and large language models to classify sensitive data with context awareness, going beyond regex and dictionary-based matching. This delivers higher precision than legacy DLP engines, which translates to fewer false positives and less alert fatigue for analysts. The engine continuously learns from new data patterns across the customer's environment.

Agentless Deployment Architecture+

Cyera connects to cloud data stores and SaaS applications via API rather than requiring endpoint or server agents. This eliminates the rollout friction that has historically plagued DLP projects, where agent installation across thousands of endpoints can take months. Security teams can achieve broad coverage in days rather than quarters.

Pre-Analyzed Alerts and Pre-Built Policies+

Every alert generated by Cyera arrives with context — what data is involved, where it came from, who touched it, and what action is recommended. The platform also ships with a library of pre-built policies aligned to common compliance frameworks, so teams do not need to write rules from scratch. Cyera positions this as enabling a 3-person team to do the work of 30.

Unified DSPM + DLP Coverage+

Rather than treating data posture and data loss as separate problems, Cyera unifies them on a single platform — "see data at rest, stop it in motion." Customers can discover where sensitive data lives, assess its risk posture, and enforce protection policies as it moves, all from one console. This consolidation reduces vendor sprawl and licensing overlap.

AI-Driven Email Protection via Abnormal Partnership+

In February 2025, Cyera announced a strategic partnership with Abnormal AI to defend against AI-driven email attacks that lead to data loss. The integration combines Abnormal's email threat intelligence with Cyera's data classification and DLP enforcement, giving joint customers tighter coverage of the email-to-data-exfiltration attack path. This reflects Cyera's broader 2025 push into adjacent security categories beyond pure DSPM.

Pricing Plans

DSPM Foundation

Custom quote

  • ✓Agentless data discovery and classification across cloud environments
  • ✓AI-native sensitive data identification using ML and LLMs
  • ✓Data security posture dashboards and risk scoring
  • ✓Pre-built compliance policy templates (GDPR, HIPAA, PCI-DSS)
  • ✓Support for AWS, Azure, and GCP data stores

DSPM + DLP

Custom quote

  • ✓Everything in DSPM Foundation
  • ✓Data-in-motion monitoring and enforcement
  • ✓DLP policy engine with pre-analyzed alerts
  • ✓Email, browser, and endpoint exfiltration prevention
  • ✓Pre-built DLP policies for rapid deployment
  • ✓Unified console for data at rest and in motion

Enterprise Platform

Custom quote

  • ✓Everything in DSPM + DLP
  • ✓AI security module for generative AI data protection
  • ✓Abnormal AI email integration for AI-driven attack defense
  • ✓Advanced analytics and custom reporting
  • ✓Dedicated customer success and onboarding
  • ✓On-premises data store coverage included
  • ✓Custom classifier training and tuning
See Full Pricing →Free vs Paid →Is it worth it? →

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Best Use Cases

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Enterprise security teams replacing legacy DLP (Symantec, Forcepoint, McAfee) that has become too noisy, rule-heavy, and expensive to maintain in a cloud-first environment

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CISOs at regulated organizations (healthcare, financial services, fintech) needing to prove compliance with GDPR, HIPAA, and PCI-DSS through automated discovery and classification of sensitive data

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Security teams wanting to consolidate DSPM and DLP into a single platform rather than maintaining separate vendors for data posture and data loss prevention

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Mid-sized security teams (3-10 analysts) that need DLP coverage but cannot staff a dedicated DLP administration function — Cyera's pre-analyzed alerts reduce the operational burden

💡

Organizations adopting generative AI tools internally and needing to prevent sensitive data from being pasted into ChatGPT, Copilot, or other LLMs

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Cloud-native enterprises running multi-cloud (AWS, Azure, GCP) with sprawling SaaS estates where agent-based DLP is impractical to deploy

Limitations & What It Can't Do

We believe in transparent reviews. Here's what Cyera Data Loss Prevention doesn't handle well:

  • ⚠No transparent pricing or self-serve trial — every evaluation requires a sales demo, which slows time-to-value for smaller teams
  • ⚠Limited public documentation about specific connector coverage, classifier accuracy benchmarks, or SLAs
  • ⚠On-premises deployments, while supported, are not the platform's architectural sweet spot
  • ⚠Smaller partner and integration ecosystem than legacy DLP incumbents that have decades of third-party tooling built around them
  • ⚠AI-driven classification may require additional explainability tooling to satisfy auditors in highly regulated industries

Pros & Cons

✓ Pros

  • ✓Agentless deployment means no endpoint agents to install or maintain, dramatically reducing rollout friction compared to legacy DLP
  • ✓AI-driven classification using LLMs delivers higher precision than regex-based rule engines, reducing false positives that plague traditional DLP
  • ✓Pre-analyzed alerts and pre-built policies allow small security teams (claimed 3-person operation) to achieve coverage equivalent to 30-person teams
  • ✓Unified platform combines DSPM (data security posture management) and DLP, eliminating the need for two separate tools and vendors
  • ✓Strategic partnership with Abnormal AI (announced February 2025) extends DLP coverage into AI-driven email attack vectors
  • ✓Cloud-native architecture scales across multi-cloud environments without infrastructure overhead

✗ Cons

  • ✗Pricing is enterprise-only with no transparent tiers, free trial, or self-serve option visible on the website
  • ✗Requires a sales-led demo before any pricing or technical evaluation can begin, slowing procurement for smaller buyers
  • ✗As a relatively newer entrant, has a smaller third-party integration ecosystem than incumbents like Symantec DLP or Microsoft Purview
  • ✗On-premises coverage is supported but the platform is clearly cloud-first, which may not suit air-gapped or highly regulated on-prem-only environments
  • ✗AI-driven classification, while accurate, can be a black box — auditors and compliance teams may require additional explainability for regulated industries

Frequently Asked Questions

How is Cyera DLP different from legacy DLP tools like Symantec or Forcepoint?+

Cyera replaces the rule-based, signature-driven approach of legacy DLP with an AI-native engine that uses machine learning and large language models for classification. Where legacy tools require months of rule tuning and dedicated administrators, Cyera ships pre-built policies and pre-analyzed alerts so deployment can happen in minutes. The platform is also agentless, removing the endpoint installation overhead that has historically made DLP rollouts painful. Cyera positions this as enabling a 3-person team to deliver the output of a traditional 30-person DLP operation.

How much does Cyera Data Loss Prevention cost?+

Cyera does not publish pricing on its website and operates on an enterprise sales model — interested buyers must request a demo through cyera.com/demo to receive a quote. Pricing typically scales with data volume, number of cloud accounts and SaaS connectors, and which platform modules are licensed (DSPM, DLP, AI security, etc.). Compared to enterprise DLP competitors in our directory, this opaque pricing is standard for the Data Security category but can slow evaluation for mid-market buyers. Expect costs in the five- to six-figure annual range based on typical enterprise DSPM/DLP deals.

Does Cyera DLP work with on-premises data, or is it cloud-only?+

Cyera supports both cloud and on-premises environments according to its product positioning, making it suitable for hybrid enterprises. However, the platform is architecturally cloud-first and uses agentless connectors to discover and classify data across AWS, Azure, GCP, and major SaaS applications. On-prem coverage is available but organizations with primarily air-gapped or legacy on-prem data estates may find the cloud-native design less optimized for their environment than purpose-built on-prem DLP tools.

What types of data can Cyera classify and protect?+

Cyera's AI-driven classification engine identifies a broad range of sensitive data including PII (names, SSNs, addresses), PHI (medical records and identifiers), PCI data (payment card information), financial records, intellectual property, and source code. Because the engine uses large language models rather than regex alone, it can identify context-dependent sensitive data — for example, distinguishing a customer record from a test fixture. This supports compliance with GDPR, HIPAA, PCI-DSS, and emerging AI governance frameworks.

How does Cyera handle data flowing into generative AI tools like ChatGPT?+

Cyera's DLP is designed to address modern data loss vectors including generative AI usage, where employees may paste sensitive data into LLMs. The platform monitors data in motion across browsers, endpoints, and email to detect and block sensitive data flows into unauthorized AI tools. Combined with Cyera's broader AI security capabilities, organizations can both discover where AI is being used and prevent regulated data from leaking into third-party models. The February 2025 partnership with Abnormal AI further strengthens coverage of AI-driven attack vectors.
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What's New in 2026

In February 2025, Cyera announced a strategic partnership with Abnormal AI to stop AI-driven email attacks from becoming data loss events. The integration combines Abnormal's email threat intelligence with Cyera's data classification and DLP enforcement, giving joint customers tighter coverage of the email-to-data-exfiltration attack path. This reflects Cyera's broader 2025 push into adjacent security categories beyond pure DSPM.

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Quick Info

Category

Data Security

Website

www.cyera.com/platform/data-loss-prevention
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