Best Data Loss Prevention Software for GitLab

Carbide is a tech-enabled solution that helps organizations elevate their information security and privacy management programs. Designed for teams pursuing a mature security posture, Carbide is especially valuable for companies with strict compliance obligations and a need for hands-on expert support. With features like continuous cloud monitoring and access to Carbide Academy’s educational resources, our platform empowers teams to stay secure and informed. Carbide also supports 100+ technical integrations to streamline evidence collection and satisfy security framework controls, making audit readiness faster and more efficient.

GitGuardian is a global cybersecurity startup focusing on code security solutions for the DevOps generation. A leader in the market of secrets detection and remediation, its solutions are already used by hundred thousands developers in all industries. GitGuardian helps developers, cloud operation, security and compliance professionals secure software development, define and enforce policies consistently and globally across all their systems. GitGuardian solutions monitor public and private repositories in real-time, detect secrets and alert to allow investigation and quick remediation.

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.

MIND is an AI-native data loss prevention and data security platform that protects sensitive information across traditional enterprise environments, GenAI applications, and autonomous AI agents. It continuously discovers and classifies sensitive data across SaaS platforms, endpoints, email, on-premises file shares, GenAI services, and agentic AI environments. MIND is designed to simplify DLP deployment by reducing the need for manually created regular expressions, extensive policy tuning, and professional services. Its Data Detection and Response capabilities analyze billions of signals in real time and enrich security incidents with contextual information to help distinguish meaningful risks from false positives. Automated remediation enables the platform to respond to identified risks without requiring security teams to manually investigate and resolve every event. Real-time loss prevention capabilities can stop sensitive data from leaving the organization or interact with users to remediate risky activity and reinforce security policies. MIND also provides AI DLP agents that apply autonomous capabilities to data security operations and help organizations protect information as AI adoption expands. Supported use cases include data discovery and classification, GenAI security, agentic AI protection, insider risk management, SaaS data protection, endpoint DLP, email DLP, on-premises DLP, and integrated identity and data security. By combining discovery, detection, response, prevention, and user coaching in one platform, MIND helps security teams operate a centralized data protection program across human and AI activity.

ORION is an innovative data security platform designed specifically for AI, replacing outdated rule-based Data Loss Prevention (DLP) methods by autonomously comprehending and overseeing sensitive data transfers across various channels, including endpoints, cloud services, email, SaaS applications, web platforms, storage systems, and more, utilizing intelligent insights rather than fixed policies. By employing advanced context-aware AI agents, it effectively categorizes both structured and unstructured data, tracks data lineage, monitors identity along with environmental indicators, and identifies subtle signs of risky or abnormal activities that may suggest data exfiltration, enabling organizations to avert leaks in real-time while significantly reducing false positives and requiring minimal initial configuration. Furthermore, ORION is adept at continuously adapting to normal business activities and data movements, allowing it to differentiate genuine actions from possible threats, while also integrating seamlessly with identity and CRM systems to provide richer contextual information. In addition, it can optionally assist in policy enforcement for compliance purposes, all the while maintaining a primary focus on intent-aware detection and proactive prevention strategies. This makes ORION not only a powerful tool for safeguarding sensitive information but also a vital component in enhancing overall organizational security infrastructure.

Matters.AI stands out as the pioneering AI Security Engineer for Data, specifically designed to autonomously detect, comprehend, and address instances of data misuse before any ticket is generated by the Security Operations Center (SOC). This innovative solution safeguards what truly matters, overseeing sensitive data as it exists or moves across various platforms, functioning similarly to a human security engineer that comprehends context, monitors activities, and protects sensitive information independently across environments such as cloud services, SaaS, endpoints, microservices, and AI pipelines. Built upon advanced technologies like semantic intelligence, nearest neighbor search, data lineage modeling, and predictive behavior analysis, Matters goes beyond mere threat detection; it interprets context, foresees potential risks, and takes proactive measures. Rather than depending on outdated static rules, regex patterns, cumbersome dashboards, and incessant alerts, Matters adeptly reads nuanced data signals, tracks risks in real-time, and operates around the clock. By identifying sensitive data based not solely on appearance but also on its significance, Matters employs techniques like fingerprinting and eBPF to monitor data across cloud environments, SaaS applications, endpoints, and beyond, ensuring comprehensive protection and awareness. In this way, Matters.AI not only enhances data security but also transforms the landscape of risk management in the digital age.