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Data leak prevention

Nightfall ✓

Detect and protect sensitive data in Zendesk tickets.

2.9k views 11 saves Freemium
Data Leak Prevention Zendesk Data Exposure Prevention
More categories (4)
Automated Remediation Data Sensitivity Compliance Data leak prevention
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Free

Verdict

A quick read before you dig into the full page.

Best if
Detect and protect sensitive data in Zendesk tickets
Skip if
Limited customization
Pick this when
Cloud-native DLP solution

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Overview

Nightfall AI's Zendesk DLP is an AI-native tool designed for data leak prevention. It is designed to reduce the risk of sharing confidential, malicious, or personally identifiable content in Zendesk.

The tool, which is also cloud-native, is touted to be accurate and easy to use. Its central functionality is preventing data exposure in AI apps and data pipelines, and it offers a particular feature called Nightfall's Firewall for AI.

It is tailored to a variety of communication channels including SaaS & email, browsers, and custom apps. Moreover, it can be integrated with a range of applications like Slack, Jira, Confluence, Salesforce, Github, and many more.

Nightfall AI provides solutions for security for AI, insider risks, SaaS security, governance and risk, and external threats. For compliance, it covers areas such as HIPAA, PCI, GDPR/CCPA, ISO 27001, SOC 2, and SOX.

The tool offers a quick API start and features like GenAI Detection. Nightfall DLP is used for automatically detecting and remediating the exposure of sensitive and personally identifiable data in Zendesk.

It offers real-time alerts and automated remediation actions to reduce compliance workload, while providing machine-learning-based detectors to identify potential security and compliance risks with high accuracy.

Nightfall website

Access & connections

Where you can use Nightfall, and what it plugs into.

Platforms

Web

Integrations

Salesforce Zendesk GitHub Slack Jira

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • API
  • Text

Output

  • API
  • Text

Pros & cons

Pros

  • Cloud-native DLP solution
  • Designed for businesses using Zendesk
  • Detects and remediates sensitive data
  • Reduces risk of data breaches
  • Reduces compliance violations
  • Uses machine learning-detection
  • Real-time alerts and automated remediation
  • Supports over 100 file types
Show 37 more
  • Option to use pre-built detectors
  • Custom detection rule creation
  • Automated workflows for quarantine
  • Seamless integration with Zendesk
  • Real-time scanning of conversations and tickets
  • Inventory of sensitive files
  • HIPAA reporting and monitoring
  • Customizable detection rules
  • Protects HIPAA, PCI sensitive data
  • Fast implementation
  • Scanner for API keys, encryption keys
  • Visibility to minimize security risks
  • Designed and built for Zendesk
  • Finds at-risk patient data
  • Remediate sensitive data with redaction
  • Scan 150+ file types
  • Scan all historical data
  • Remediation with minimal overhead
  • Scan unstructured data with deep learning
  • Ensure compliance with HIPAA, PCI
  • Prevent downstream privilege escalation
  • Access to customer support files
  • Handle compliance and audit requirements
  • Detect suspicious files & messages real-time
  • Build comprehensive detection rules
  • Setup automated remediation workflows
  • Detect and identify PII, PCI, PHI
  • Detect credentials & secrets
  • Scan data for potential risks instantly
  • Proactive, accurate detection of security risks
  • Real-time and at-rest data protection
  • Employee coaching for data security
  • Enable users to become the first line of security defense
  • Agentless install
  • Support for 8 secured applications
  • Extendable data leak protection via Developer Platform
  • Reduced time triaging security alerts

Cons

  • Limited to Zendesk
  • No multi-platform support
  • Lacks flexibility in usage
  • Not suitable for small businesses
  • No offline functionality
  • Doesn't support all file types
  • Relies on pre-built detectors
  • Limited customization
Show 2 more
  • No multilingual support
  • No free version

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Releases 1

Initial release January 29, 2023 Current
Initial release of Nightfall.

FAQ 12

What is Nightfall?
Nightfall is a cloud-native data loss prevention (DLP) system, developed to help businesses prevent data breaches and compliance violations by detecting and remediating sensitive information, especially in SaaS applications like Zendesk. It uses machine learning algorithms to classify potential security and compliance risks and provides real-time alerts and automated remediation actions.
What does Nightfall offer for businesses using Zendesk?
For businesses using Zendesk, Nightfall offers several capabilities. It identifies sensitive data, such as personally identifiable information (PII), in Zendesk tickets, reducing the risk of data breaches. It provides real-time alerts and automated remediation actions to respond to potential security threats effectively. Nightfall can effortlessly integrate with Zendesk, ensure uninterrupted workflow while maintaining always-on protection, and offer features like automated workflows for quarantines, deletions, and alerts as well as sensitive data inventory.
How does Nightfall identify sensitive data?
Nightfall uses machine learning-based detectors to identify potential security and compliance risks. These ML-based detectors can accurately classify sensitive data such as personally identifiable information (PII), protected health information (PHI), and credit card information (PCI).
What types of file can Nightfall detect sensitive data in?
Nightfall is designed to detect sensitive data across more than 100 different file types. This includes regular text files as well as image files, ensuring a wide coverage of potential data leak points.
What specific use case custom detection rules can be created in Nightfall?
Nightfall allows users to create custom detection rules for various use cases. These rules can address industry-specific requirements or business-specific needs to improve the detection and prevention of sensitive data exposure.
Does Nightfall operate in real-time?
Yes, Nightfall operates in real-time. It provides real-time alerts and automated remediation actions to respond to potential security risks, minimizing the potential for data breaches and compliance violations.
How does Nightfall integrate with Zendesk?
Nightfall integrates seamlessly with Zendesk. Its implementation is designed to provide always-on protection without disrupting the workflow. This ensures continuous monitoring and protection of sensitive data within the Zendesk system.
What types of data can Nightfall scan in Zendesk conversations and tickets?
Nightfall scans Zendesk conversations and tickets for a variety of sensitive data types including API keys, encryption keys, passwords, and other sensitive data that might pose a security risk.
How does Nightfall help with HIPAA reporting and monitoring?
Nightfall aids with HIPAA reporting and monitoring by automatically classifying all cloud data, detecting at-risk patient data, and providing built-in, high accuracy detectors. Furthermore, it allows businesses to build their detection rules for specific use cases and remediates sensitive data with techniques such as redaction.
Can Nightfall handle detection in multiple file formats including unstructured data?
Yes, Nightfall can handle detection in multiple file formats, including unstructured data. Its machine learning algorithms can efficiently scan and classify sensitive data from a broad set of file types.
How can Nightfall help to reduce time spent on triaging security alerts?
Nightfall uses high-accuracy machine learning detectors and out-of-the-box detection templates to reduce the time spent triaging security alerts. It streamlines the detection process and focuses on the most critical violations, improving efficiency and accuracy.
What out-of-the-box detection templates does Nightfall offer?
Nightfall offers out-of-the-box detection templates that ensure compliance with standards like HIPAA, PCI, CCPA, and more. It can detect and take immediate action on exposed sensitive data, both instantly and at-rest. These templates aim to reduce time spent on triaging security alerts and improve data security hygiene.
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