Nightfall

Freemium

Nightfall: Protect Zendesk, Prevent Data Leaks

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Introduction:

Are you confident that your Zendesk data is secure from potential leaks and breaches?

Introducing Nightfall, the cloud-native data loss prevention (DLP) solution designed specifically for businesses using Zendesk. With Nightfall, you can detect and remediate sensitive data, such as personally identifiable information (PII), within Zendesk tickets, reducing the risk of data breaches and compliance violations.

Harnessing the power of machine learning-based detectors, Nightfall accurately classifies potential security and compliance risks, providing real-time alerts and automated remediation actions. It can detect sensitive data in over 100 file types, including images, and offers the flexibility to use pre-built, high accuracy detectors or create custom detection rules for specific use cases.

Nightfall focuses on protecting sensitive data within Zendesk, such as PHI, HIPAA, and PCI, offering automated workflows for quarantines, deletions, and alerts. Seamlessly integrating with Zendesk, Nightfall ensures always-on protection without interrupting workflow. Real-time scanning of conversations and tickets within Zendesk identifies API keys, encryption keys, passwords, and other sensitive data.

With Nightfall, you also gain access to features like inventory of sensitive files and data, HIPAA reporting and monitoring, and the ability to customize detection rules for risks within Zendesk. Trusted by organizations globally, Nightfall provides proactive and accurate detection of security and compliance risks in SaaS applications, offering the visibility needed to minimize security risks and prove compliance.

Secure your Zendesk data with Nightfall and experience peace of mind in an AI-powered world.

Overview:

Nightfall is a cloud-native data loss prevention (DLP) solution designed for businesses using Zendesk. This tool can help detect and remediate sensitive data, such as personally identifiable information (PII), in Zendesk tickets, reducing the risk of data breaches and compliance violations.

Nightfall uses machine learning-based detectors to accurately classify potential security and compliance risks and provide real-time alerts and automated remediation actions. Nightfall can detect sensitive data in over 100 file types, including images, and provides the option to use pre-built, high accuracy detectors, or create custom detection rules for specific use cases.

The tool focuses on protecting sensitive data within Zendesk, such as PHI, HIPAA, and PCI, with features like automated workflows for quarantines, deletions, and alerts. Nightfall’s implementation is designed to integrate seamlessly with Zendesk, providing always-on protection without interrupting workflow. Conversations and tickets within Zendesk can be scanned in real-time for API keys, encryption keys, passwords, and other sensitive data.

The tool also offers features like inventory of sensitive files and data, HIPAA reporting and monitoring, and the ability to customize detection rules for detecting risks within Zendesk. Nightfall is trusted by organizations globally for proactive and accurate detection of security and compliance risks in SaaS applications, and provides the visibility needed to minimize security risks and prove compliance.

Benefits:

• Nightfall helps detect and remediate sensitive data, such as personally identifiable information (PII), in Zendesk tickets.
• It reduces the risk of data breaches and compliance violations by accurately classifying potential security and compliance risks.
• The tool can detect sensitive data in over 100 file types, including images, and offers pre-built, high accuracy detectors or custom detection rules.
• Nightfall focuses on protecting sensitive data within Zendesk, such as PHI, HIPAA, and PCI, with automated workflows for quarantines, deletions, and alerts.
• It seamlessly integrates with Zendesk, providing always-on protection without interrupting workflow, and offers features like real-time scanning, inventory of sensitive files, and customization of detection rules.

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