Omni DLP

Omni DLP is a Data Security data loss prevention platform for enterprises that need to discover sensitive data, classify it with AI, and apply context-aware controls across cloud and on-premises environments while replacing slow, manually tuned legacy DLP workflows with an enterprise quote-based Cyera procurement model. It is built for security, data protection, compliance, and risk teams that need faster DLP operations than traditional rule-heavy tools.

Cyera positions Omni DLP as an AI-native alternative to legacy, rule-based data loss prevention systems. The product page specifically says it modernizes DLP with automated, context-aware prevention that scales, and the structured product description states that Cyera’s DLP operates “like a team of 30 with just 3 people.” That is an important signal about the intended value: the tool is not only about detecting sensitive data, but also about reducing the manual triage burden that often makes DLP programs slow and noisy. The website also states that every alert is pre-analyzed and ready to act on, which suggests a workflow designed around faster investigation and response rather than raw alert volume.

The platform is described as protecting data at rest and stopping data in motion. Cyera’s organization description says its broader AI-native data security platform supports rapid discovery, scanning, and classification of data across cloud and on-premises environments, with agentless deployment for quick assessment of data security posture. The website also references machine learning and large language models as part of Cyera’s classification and risk-management approach. For enterprise teams, this matters because DLP accuracy depends heavily on understanding what the data is, where it lives, who can access it, and whether movement or exposure is actually risky.

Compared to the other Data Security tools in our directory, Omni DLP appears best suited to organizations that already have a meaningful sensitive-data footprint and want DLP tied to data discovery and classification rather than managed only through static policies. Based on our analysis of 870+ AI tools, most AI security products focus on monitoring, posture management, or access governance; Cyera’s DLP page is more narrowly focused on preventing data loss through AI-native classification, pre-analyzed alerts, and context-aware controls. The tradeoff is that the public page does not disclose implementation scope, exact connectors, a self-serve free tier, or direct checkout pricing. Cyera’s pricing page states that DSPM and DLP are sold through two comprehensive custom-quote plans, while a 2025 public-sector reseller price list shows reference annual per-employee MSRP examples for Cyera DLP modules, including M365 Standard from $17 to $23 per employee per year, M365 Advanced from $28 to $61 per employee per year, Google Workspace from $17 to $37 per employee per year, Email from $8 to $18 per employee per year, and Messaging from $3 to $6 per employee per year depending on employee-count tier. The structured website data lists the software application operating system as Cloud, includes an offer price of 0 USD, lists 2 related blog-post entries, and references a 2025-02-19 partnership post with Abnormal AI focused on preventing AI-driven email attacks from becoming data loss; however, the page itself still directs buyers toward a demo rather than transparent package selection.