Best Data Classification Software for Jira

Find and compare the best Data Classification software for Jira in 2025

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

  • 1
    Kogni Reviews
    Kogni's Discover feature allows enterprises to find and detect sensitive and critical information. Find sensitive data from any source, in whatever format, and of any type. Kogni's sensitive data discovery software automates data discovery and classification. Kogni's easy-to-implement software allows seamless integration with your company's data warehouse. Kogni's sensitive information discovery tool can help you accelerate compliance with industry standards and international data regulations. Reduce the risk of data leakage and the costs of non-compliance to data protection and privacy regulations such as HIPAA, GDPR and CCPA, PCI and PII. Scans and pin-points sensitive information from more than 10 data sources. This tool creates a comprehensive dashboard of sensitive information with a variety of special features. Your sensitive data classification groups can be customized to meet your company's requirements. Supports a wide variety of data types and formats.
  • 2
    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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    MINDely Reviews
    MIND represents a groundbreaking data security solution that automates data loss prevention (DLP) and insider risk management (IRM), enabling organizations to swiftly identify, detect, and thwart data leaks at machine speed. It actively locates sensitive information within files dispersed throughout various IT environments, whether the data is at rest, in transit, or actively in use. By pinpointing and addressing blind spots in sensitive data across IT ecosystems such as SaaS applications, AI tools, endpoints, on-premises file shares, and emails, MIND ensures comprehensive coverage. The platform continually monitors and assesses billions of data security incidents in real time, providing enriched context for each event and autonomously implementing remediation measures. Furthermore, MIND can automatically prevent sensitive data from leaving your control in real time or work collaboratively with users to mitigate risks while reinforcing your organization's policies. With its capacity to integrate seamlessly with diverse data sources across your IT infrastructure, MIND consistently reveals vulnerabilities in sensitive data, enhancing overall security posture. The innovative features of MIND not only protect valuable information but also foster a culture of compliance and awareness among users.
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