Overview
- Automatically prevent sensitive data leaks in customer support tickets using machine learning detectors that scan conversations for PII, passwords, and API keys
- Maintain continuous compliance with HIPAA, PCI, and GDPR through pre-built detection templates that automatically classify regulated data across 150+ file types
- Reduce security alert triage time by 90% with high-accuracy AI that focuses only on critical violations and eliminates false positives
- Enable instant remediation with automated workflows that quarantine, delete, or redact exposed data without manual intervention
- Protect across all data formats including images and unstructured files using detectors that identify sensitive information where traditional tools miss
- Scale data protection policies effortlessly across your entire Zendesk instance with cloud-native architecture that integrates in minutes
- Create custom detection rules for industry-specific needs while maintaining always-on protection that never disrupts agent workflows
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
- 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
- No multilingual support
- No free version
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❓ Frequently Asked Questions
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.
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.
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).
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.
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.
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.
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.
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.
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.
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.
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.
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.
Within Nightfall, businesses can easily set up and manage data protection policies to scan over 150 file types. Nightfall also provides businesses the capability to take inventory of sensitive files and data to meet compliance requirements, as well as automatically scan for PII, PHI, PCI, IP, product roadmap details and more.
Nightfall provides compatibility with several compliance standards such as HIPAA, PCI-DSS, ISO 27001, SOC 2, CCPA, and SOX ITGC. This wide compatibility empowers businesses to comply with a range of industry and regional regulatory standards.
Yes, Nightfall is a cloud-native solution. It is designed and built to operate solely over the cloud, enabling effortless integration and swift scalability over existing cloud infrastructure.
Yes, Nightfall can indeed detect sensitive data in images apart from many other file formats. This ability increases the breadth of potential data leak vectors that Nightfall can cover.
Yes, Nightfall offers the feature of automating DLP workflows. Users can set up automated tasks for quarantine, deletion, alerts, user coaching on data security practices, etc. This automation significantly reduces the manual effort needed to respond to incidents and remediate actions.
Yes, Nightfall is designed such that users can integrate it with Zendesk in just a few clicks. This seamless integration allows Nightfall to provide always-on protection and maintain consistent workflow.
Nightfall can cater to a multitude of industries and sectors for data loss prevention needs. Some of the sectors it covers include Digital Health, Fintech, SaaS & Cloud, etc.
Nightfall's key features of real-time security include its ability to instantly detect and take action on exposed sensitive data both in-transit and at-rest, reduction in time spent on triaging security alerts using high-accuracy ML detectors, ability to build comprehensive detection rules for custom use cases, and provisions to enable employees to self-remediate easily with minimal overhead with notifications and coaching. With these, Nightfall offers a 360-degree coverage of data loss prevention concerns.
Pricing
Pricing model
Freemium
Paid options from
Free tier available
Billing frequency
Monthly
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