Compare the Top Data Loss Prevention Software that integrates with Nasuni as of September 2026

This a list of Data Loss Prevention software that integrates with Nasuni. Use the filters on the left to add additional filters for products that have integrations with Nasuni. View the products that work with Nasuni in the table below.

What is Data Loss Prevention Software for Nasuni?

Data loss prevention (DLP) software is designed to protect sensitive information from being accidentally or maliciously exposed, shared, or lost. It monitors and controls data transfer across endpoints, networks, and storage systems to prevent unauthorized access or leaks. DLP tools can detect patterns, keywords, and encryption to identify and block the movement of confidential data, such as financial records or personal information. The software often integrates with email systems, cloud storage, and file-sharing platforms to enforce security policies. By preventing data breaches and ensuring compliance with regulations like GDPR and HIPAA, DLP software helps safeguard an organization's valuable data assets. Compare and read user reviews of the best Data Loss Prevention software for Nasuni currently available using the table below. This list is updated regularly.

  • 1
    MINDely
    MIND is the first-ever data security platform that puts data loss prevention (DLP) and insider risk management (IRM) programs on autopilot, so you can automatically identify, detect, and prevent data leaks at machine speed. Continuously find your sensitive data in files spread across your IT environments whether at rest, in motion, or in use. MIND continuously exposes blindspots of sensitive data across your IT environments including SaaS, AI apps, endpoints, on-premise file shares, and emails. MIND monitors and analyzes billions of data security events in real time, enriches each incident with context, and remediates autonomously. MIND automatically blocks sensitive data in real-time from escaping your control, or collaborates with users to remediate risks and educate on your policies. MIND continuously exposes blindspots of sensitive data at rest, in motion, and in use by integrating with data sources across your IT workloads, e.g. SaaS, AI apps, on-premises, endpoints, and emails.
  • 2
    Matters.AI

    Matters.AI

    Matters.AI

    Matters.AI is the first AI Security Engineer for Data, built for the AI and data layer to autonomously see, understand, and resolve data misuse before the SOC opens a ticket. It protects what truly matters wherever data lives or travels, functioning like an AI security engineer that understands context, monitors behavior, and protects sensitive data autonomously across cloud, SaaS, endpoints, microservices, and AI pipelines. Matters is built on semantic intelligence, nearest neighbor search, data lineage modeling, and predictive behavior analysis, so it does not just detect threats; it understands context, anticipates risk, and takes action proactively. Instead of relying on static rules, regexes, dashboards, and noisy alerts, Matters reads between the lines, traces risk in motion, and never sleeps. It identifies sensitive data not just by how it looks, but by what it represents, tracking data across cloud, SaaS, endpoints, and beyond using fingerprinting and eBPF.
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