Compare the Top Data Loss Prevention Software that integrates with GitLab as of August 2026

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

What is Data Loss Prevention Software for GitLab?

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 GitLab currently available using the table below. This list is updated regularly.

  • 1
    Carbide

    Carbide

    Carbide

    Carbide is a tech-enabled service that strengthens your company’s information security and privacy management capabilities. Our platform and expert services are tailored for companies aiming for a sophisticated security posture, particularly valuable for organizations that must meet rigorous compliance requirements of security frameworks like SOC 2, ISO 27001, HIPAA, GDPR, and more. With Carbide, you can benefit from continuous cloud monitoring and the educational resources of Carbide Academy. Our platform supports over 100 technical integrations, enabling efficient evidence collection and meeting of security framework controls necessary for passing audits.
    Starting Price: $7,500 annually
  • 2
    GitGuardian

    GitGuardian

    GitGuardian

    GitGuardian is an end-to-end NHI security platform that empowers software-driven organizations to enhance their Non-Human Identity (NHI) security and comply with industry standards. With attackers increasingly targeting NHIs, such as service accounts and applications, GitGuardian integrates Secrets Security and NHI Governance. This dual approach enables the detection of compromised secrets across your dev environments while also managing non human identities and their secrets lifecycle. The platform supports over 450+ types of secrets, offers public monitoring for leaked data, and deploys honeytokens for added defense. Trusted by over 600,000 developers, GitGuardian is the choice of leading organizations like Snowflake, ING, BASF and Bouygues Telecom for robust secrets protection.
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    Starting Price: $0
  • 3
    Nightfall

    Nightfall

    Nightfall AI

    Discover, classify, and protect your sensitive data. Nightfall™ uses machine learning to identify business-critical data, like customer PII, across your SaaS, APIs, and data infrastructure, so you can manage & protect it. Integrate in minutes with cloud services via APIs to monitor data without agents. Machine learning classifies your sensitive data & PII with high accuracy, so nothing gets missed. Setup automated workflows for quarantines, deletions, alerts, and more - saving you time and keeping your business safe. Nightfall integrates directly with all your SaaS, APIs, and data infrastructure. Start building with Nightfall’s APIs for sensitive data classification & protection for free. Via REST API, programmatically get structured results from Nightfall’s deep learning-based detectors for things like credit card numbers, API keys, and more. Integrate with just a few lines of code. Seamlessly add data classification to your applications & workflows using Nightfall's REST API.
  • 4
    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.
  • 5
    ORION

    ORION

    ORION

    ORION prevents data loss by analyzing data in motion with context-aware, proprietary AI agents, significantly reducing operational overhead and false positives while drastically increasing the number of real incidents detected and prevented. Our specialized agents understand the context behind every data trace in real-time, from classification, lineage, identity, environment, to external relations, analyze it for data loss indicators, detecting and preventing exfiltration.
  • 6
    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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