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Insider Risk, Data Protection and Cloud Security for Managed and Unmanaged Endpoints

The Reveal Platform by Next DLP delivers the optimal balance of risk insights and data loss prevention controls for endpoints, mobile devices and cloud apps.
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What makes Reveal different?

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Find out today by speaking with our experts

Reveal uncovers risk, educates employees, and fulfills security, compliance, and regulatory needs. Unlike legacy DLP, Reveal is a flexible, cloud-native, AI & ML powered solution built for today's threat landscape.

No wonder we're turning analysts' heads at Forrester, Gartner, Radicati, GigaOm and Quadrant Knowledge Solutions.

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See Reveal in Action

DLP Controls

Data Loss Prevention

Reveal is a modern and unified approach to data protection combining Data Loss Prevention, Insider Risk Management and Cloud and Mobile Data Security. Unlike traditional approaches, Reveal doesn't require IT infrastructure, pre-built policies or multiple agents.

Reveal uses machine learning to instantly identify risk, including malicious insider behavior It has visibility into all data egress points, from managed endpoints to unmanaged mobile devices, to USB drives and printers, and SaaS apps like Slack, O365, and Google Workspace.

Unlike legacy DLP’s binary “block” OR “allow,” with Reveal you can respond as your business demands. Reveal’s adaptive controls let you decide what actions to take such as logging, isolating an endpoint, or blocking actions. 

 

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Insider Risk Management

Reveal tracks and traces sensitive information flows and user interactions within the organization. It identifies and mitigates insider threats through advanced user behavior analytics, automatically blocking suspicious activities.

Activity Feed provides analysts with a comprehensive, streamlined and time sequenced view of user, data and device activity before, after and during an incident.  Content and context based reporting, mapped to MITRE ATT&CK Framework, makes analysts more effective and efficient.  
 
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Data Protection Across the Cloud, Managed and Unmanaged Devices

Reveal Beyond overcomes legacy DLP challenges by providing a unified platform for managing data security and extending insider threat visibility and data protection to Microsoft O365, Google Workspace and personal devices. 

Reveal Beyond doesn’t require endpoint agents or on-prem technology and effectively addresses DLP and insider risk use cases commonly seen with the use of cloud drives and unmanaged personal devices. Investigation and remediation processes are streamlined to reduce exposure to security risks and compliance challenges. 

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AI Powered Assistant

Reveal's AI-powered assistant, XTND, takes security analysts to the next level with streamlined data loss and insider threat analysis. 

XTND enhances incident analysis by using GenAI to summarize and contextualize data associated with observed high risk activity, mapped to MITRE IT TTP,  for easy consumption by analysts and peers. Analysts benefit from optimized workflows, a reduction in time to contain and resolve threats, and the empowerment to contribute to the business at a higher level. 

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Real-time inspection

Real-time content level inspection identifies patterns for PII such as credit card numbers. PHI such as diagnostic codes can also be identified by content level inspection.
 
Contextual inspection identifies sensitive data in both structured and unstructured data without predefined policies. This can include the location of data in the case of design documents, source code, and financial reports.
 
Track file movement on and across systems and browsers with content inspection to protect against data loss. 
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Policy-free visibility

Reveal instantly provides visibility on installation. It collects telemetry data from system, user, and network events on the endpoint, providing insights into how endpoints are being used.

Unlike legacy DLP, you don’t have to build policies to gain visibility.

For customers who need more sophisticated policies, Reveal provides out-of-the-box policies for common use cases based on data, user and event context. 

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Machine learning on the endpoint

The smart agent identifies and categorizes data at the point of risk.
 
It begins baselining activity at deployment and uses multiple behavioral analytics algorithms to define typical vs. anomalous behavior, delivering data protection that doesn’t rely on a connection to a separate analysis engine while all personal data remains on the device.
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User training at the point of risk

Next enables a positive security culture by empowering employees and building a dynamic “human firewall.”
 
Adaptable security measures and real-time training increase productivity and reduce the risk of data loss.  
 

See and block access to unsanctioned SaaS applications

Reveal SaaS App Security provides full visibility into the expanse of SaaS applications utilized across an organization and also fortifies defenses against potential data breaches stemming from business data exposure via unauthorized app usage.

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Enhance threat detection and response

Cases in Reveal represent a collection of suspicious events and detections. By grouping these elements, operators can proactively flag, investigate and respond to potential risks across the network. Reveal's Cases feature enhances collaboration, allowing multiple operators to contribute to the investigation and decision-making process.

Protecting organizations of all sizes

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