MIND™ AI is an advanced data security platform that automates Data Loss Prevention (DLP) and Insider Threat programs. By acting as an AI data security analyst, it autonomously monitors vast amounts of data events in real-time, significantly reducing false positives and streamlining the resources required for effective data protection. Key Features and Functionality: - Comprehensive Data Discovery and Classification: MIND AI continuously identifies and categorizes sensitive data across various environments, including SaaS applications, on-premise file shares, endpoints, and email systems. It uniquely classifies a wide range of sensitive file types and specific records within those files, such as PCI, PII, PHI, credit card numbers, social security numbers, cloud keys, and credentials. - Multi-Layer AI Classification Engine: Employing a sophisticated AI engine, MIND AI utilizes exact data matching, regular expression pattern matching, named entity recognition, and optical character recognition. It enriches data classification through online validation, external databases, and human resources information, leveraging large language models to categorize novel sensitive data types beyond traditional identifiers. - Context-Aware Risk Analysis: After cataloging sensitive data, MIND AI assesses organizational context and business significance, enabling precise risk severity evaluations. It employs a unique language to describe user-data interactions, generating tailored rules to detect potential issues. - Automated Risk Mitigation: Upon detecting issues, MIND AI acts as a data security analyst to automatically mitigate risks based on organizational policies. Its remediation capabilities include labeling, deleting, quarantining, redacting, reverting sharing, and removing public access. Additionally, MIND AI collaborates with users and data owners through communication tools like Slack, Microsoft Teams, and Google Chat to address issues promptly. Primary Value and Problem Solved: MIND AI addresses the challenges of protecting unstructured sensitive data dispersed across diverse platforms by providing a unified, automated solution. It eliminates the inefficiencies of traditional DLP tools, which often result in silos and high false positive rates. By offering real-time monitoring, precise classification, and context-aware risk analysis, MIND AI empowers organizations to safeguard their sensitive data effectively, reduce manual intervention, and enhance overall data security posture.