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What is Proofpoint Enterprise Data Loss Prevention (DLP)?

Proofpoint's Data Loss Prevention (DLP) solution equips organizations with the necessary tools to reduce the risks linked to the exposure of sensitive information across multiple channels, including email, cloud services, and endpoints, through a cohesive, cloud-centric framework that emphasizes user-focused security. By integrating advanced content detection techniques, such as AI-based classifiers and optical character recognition, the system also leverages user-behavior analytics and threat telemetry to identify negligent, compromised, or malicious actors while assessing the intent behind alerts. The platform features a centralized dashboard that streamlines triage, investigation, and response processes across various channels, improves alert workflows, employs a lightweight endpoint agent, and facilitates dynamic policy enforcement, data lineage tracking, and the correction of excessive privileges. This comprehensive solution enables the detection of sensitive file modifications, uploads to unauthorized platforms, misuse of generative AI tools, attempts at data exfiltration, and atypical user behaviors, all while ensuring scalability in line with organizational demands. Additionally, it empowers organizations with in-depth insights to fortify their data protection strategies and adapt to evolving threats within the digital landscape. Ultimately, its deployment can significantly enhance the overall security posture of organizations, making them more resilient against potential data breaches.

What is Jazz?

Jazz stands out as a pioneering Data Loss Prevention (DLP) platform designed for the modern technological landscape, allowing organizations to understand and mitigate the dangers associated with sensitive data exposure by analyzing the intricate context of information flow within their infrastructure. Unlike traditional DLP systems that rely on rigid rules and basic pattern recognition, Jazz utilizes artificial intelligence to tailor its responses to the specific dynamics of a business, effectively discerning the intent and context behind data interactions. This advanced methodology enables the platform to determine whether a flagged incident is a genuine security threat or a harmless event, significantly reducing the number of false alarms that can overwhelm security personnel. By continuously monitoring activities across various applications, users, and data pathways, it provides a comprehensive view of how information is accessed, shared, and moved within an organization. Instead of bombarding users with an excessive amount of alerts, Jazz focuses on delivering succinct explanations and practical insights, empowering security teams to quickly understand the nature of incidents. This strategic approach not only improves the effectiveness of data protection measures but also contributes to a more secure and resilient digital landscape, ultimately fostering greater trust in the handling of sensitive information. Additionally, the platform's ability to evolve with changing organizational needs ensures that it remains relevant and effective in the face of emerging threats.

Media

Media

Integrations Supported

Siberson Veriket Data Classification

Integrations Supported

Velozity

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Proofpoint

Date Founded

2002

Company Location

United States

Company Website

www.proofpoint.com/us/products/data-loss-prevention

Company Facts

Organization Name

Jazz

Company Location

United States

Company Website

www.jazz.security/

Categories and Features

Data Loss Prevention

Not specified

Endpoint Protection

Not specified

Incident Response

Not specified

Categories and Features

Data Loss Prevention

Not specified

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