Next DLP’s Reveal Platform

Additional Info

CompanyNext DLP
Websitehttps://www.nextdlp.com/
Company size (employees)100 to 499
Headquarters RegionEurope
Type of solutionCloud/SaaS

Overview

Next DLP’s (“Next”) Reveal Platform is a cloud-native data protection platform that provides content and context-aware data loss prevention, insider risk management, behavioral analytics, SaaS application risk assessment and device control. A single-core license provides access to all the features the Reveal Platform delivers.

Reveal uses a low-profile cross-platform endpoint agent and enterprise cloud connectors to provide visibility, detection and response controls across managed devices (Windows, macOS, Linux), unmanaged devices (mobile, tablets etc.), and SaaS applications.

The solution addresses DLP and insider risk use cases and provides data security teams with complete coverage of the NIST cybersecurity framework.
Identification:content and context-based data identification, activity monitoring, data lineage tracking and SaaS app risk assessment
Protection:DLP policy and real-time action framework enabling user education, data protection, process kill, device quarantine and forensics capture
Detection:insider threat data exfiltration, data loss, acceptable use violations
Response: flexible workflow framework with response templates and API-powered 3rd party integrations
Recover: XTND AI, an artificial intelligence powered analyst investigation and report generation tool

We listen to customers and partners, support them through the implementation of their programs, care deeply about their success and view them as design partners.

Key Capabilities / Features

Flexible SaaS and Hybrid Deployment Model - versatile, cloud-native security service designed for modern threats, offering immediate, policy-free visibility into user behavior and risks through smart agents and sensors, with flexible deployment and data storage options to ensure privacy compliance.
Rich out-of-the-box data visibility, risk assessment, and policy creation
Machine Learning (ML) and Behavioural Analytics - advanced machine learning and AI, including endpoint detection and sequence analysis, to predict and prioritize responses to high-risk activities by understanding user behavior patterns and summarizing threats for efficient resolution
AI Powered Sequence Detection and Activity Reporting (XTND AI) - enables analysts to prioritize their investigation time and move away from manually reviewing thousands of atomic "DLP incidents"
Context and Content-Aware Data Protection Policies
Lightweight Cross-Platform Endpoint Agent - Reveal supports Windows, macOS, and Linux, focusing on feature parity. Native integration to Microsoft Information Protection (MIP) is supported. The Reveal agent works on Microsoft Windows, Apple macOS, and Linux (Ubuntu, RHEL) endpoints on ARM and x86 CPUs (including persistent and non-persistent VDI deployments)
Cloud and Mobile Data Security (Reveal Beyond) - Reveal Beyond for Office 365 and Google Workspace extend both our user activity visibility and data protection policies to unmanaged devices, including smartphones, tablets and personal laptops without an agent being deployed. Next sets itself apart by offering this feature exclusively within its unified platform, eliminating the need for external integrations that other vendors require to match its capabilities.
Reveal User Activity Timeline - single pane of glass management console for all product capabilities. Reveal's ability to deliver DLP and Insider Risk capabilities via a single agent has been instrumental in replacing legacy DLP and insider threat solutions.
API-Powered Integrations and Workflow Automation (Reveal Respond) - an open, API-driven platform that provides easy integration with business applications, including HR-IS, SIEM, SOAR/HA, Service Desk, etc


How we are different

Policy-Free Visibility for Immediate ROI: Reveal gives instant insight with its unique ability to provide immediate visibility into data interactions across the organization without predefined policies, enabling rapid, informed development of data protection strategies based on real user activities.
Leading Machine Learning and AI for DLP: Innovative detection and response leverages machine learning and generative AI to baseline normal behavior, detect anomalies, and prioritize incidents, significantly reducing response times by providing contextual insights into high-risk activities, mapped to industry-standard threat frameworks.
Comprehensive Data Loss Prevention Toolkit: Enhanced investigation and data control with a detailed Activity Feed for efficient threat analysis, Scoped Investigations for data access control, and Secure Data Flow for tracking data movement, all supported by Sec Ops Automation for seamless integration with cybersecurity platforms. This combination offers unparalleled efficiency and effectiveness in preventing data loss and managing insider threats.


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