Compare Dig vs. Matters.AI

Achieving real-time oversight, control, and safeguarding of data assets across various cloud environments is crucial. Dig empowers you to secure all vital data without sacrificing the agility and speed that cloud solutions offer. With cloud data assets accounting for 40% of all deployed resources, they have become prime targets for the majority of cyberattacks today. The increasing volume and diversity of data stored by organizations across different cloud platforms further heightens this pressing threat. Up until now, however, there has been a noticeable absence of a cybersecurity solution focused exclusively on data protection. Dig Security effectively fills this void by providing essential visibility into the location of sensitive information, access rights, and usage patterns. It ensures that sensitive data remains within an organization by monitoring and preventing unauthorized exfiltration attempts. With a proactive approach to data defense, it offers immediate detection and response capabilities to identify and mitigate active threats. This comprehensive strategy not only safeguards data assets but also enhances overall organizational resilience against cyber threats.

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 Rather than depending on outdated static rules, regex patterns, cumbersome dashboards, and incessant alerts, Matters adeptly reads nuanced data signals, tracks risks in real-time, and operates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.