Question: Is there a tool that can help identify and mitigate risks in unstructured data, such as errors, outdated files, and duplicates?

If you need a tool to find and fix problems in unstructured data, Shelf is worth a look. It's an unstructured data management platform that processes and structures raw corporate data, a process that often uncovers problems like errors, outdated information, partial duplication and major risks. Shelf has a five-step approach to linking and enriching data, spotting gaps, governing quality, monitoring data health and future-proofing flexibility.

Another good option is Rubrik, an all-purpose cybersecurity platform that offers end-to-end data security for enterprise, cloud and SaaS applications. It includes features like advanced threat detection, monitoring and analytics, as well as large-scale recovery to get your business up and running as fast as possible. Rubrik integrates with a wide variety of data sources and applications, making it a good option for managing and protecting unstructured data.

Nanonets is another option. It's an AI-powered automation platform that can extract insights from unstructured data and automate repetitive tasks with automated workflows. It has advanced AI-driven data extraction, data enrichment and smart decision engines to automate file review and validation. Nanonets protects data confidentiality and integrity with strict compliance requirements, making it a good option for improving accuracy and efficiency.

Last, Varonis offers a broad all-purpose data security automation tool that includes data discovery and classification, threat detection and policy automation for a variety of cloud and on-premises systems. With features like DSPM, AI security and cloud DLP, Varonis offers real-time visibility and proactive threat detection, making it a good option for organizations that need a lot of data visibility and automated remediation.