Best Data Loss Prevention Software for Elasticsearch

Find and compare the best Data Loss Prevention software for Elasticsearch in 2025

Use the comparison tool below to compare the top Data Loss Prevention software for Elasticsearch on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

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    Nightfall Reviews
    Uncover, categorize, and safeguard your sensitive information with Nightfall™, which leverages machine learning technology to detect essential business data, such as customer Personally Identifiable Information (PII), across your SaaS platforms, APIs, and data systems, enabling effective management and protection. With the ability to integrate quickly through APIs, you can monitor your data effortlessly without the need for agents. Nightfall’s machine learning capabilities ensure precise classification of sensitive data and PII, ensuring comprehensive coverage. You can set up automated processes for actions like quarantining, deleting, and alerting, which enhances efficiency and bolsters your business’s security. Nightfall seamlessly connects with all your SaaS applications and data infrastructure. Begin utilizing Nightfall’s APIs for free to achieve sensitive data classification and protection. Through the REST API, you can retrieve organized results from Nightfall’s advanced deep learning detectors, identifying elements such as credit card numbers and API keys, all with minimal coding. This allows for a smooth integration of data classification into your applications and workflows utilizing Nightfall's REST API, setting a foundation for robust data governance. By employing Nightfall, you not only protect your data but also empower your organization with enhanced compliance capabilities.
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    SURF Security Reviews
    Establishing a security air gap is essential for minimizing your attack surface and safeguarding your business from both internal and external threats, all while ensuring seamless access to SaaS applications and your data. Access is granted based on user and device identity, whether for SaaS or on-premises applications. To provide a secure work environment, local endpoint threats from devices and the web are mitigated through methods such as encryption, sandboxing, and content rendering. Additionally, enforcing robust enterprise browser security measures—such as data loss prevention, web filtering, phishing defense, and management of browser extensions—is critical. SURF effectively incorporates Zero-Trust principles into the user experience via the browser, offering protection across the enterprise, irrespective of individual roles. By implementing just a few policies, IT and security teams can greatly diminish the attack surface, enhancing overall security posture. Embracing SURF can lead to numerous advantages from an information technology standpoint, ultimately fostering a more resilient and secure digital environment.
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