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Brand: Aegislock AI
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Semantic Data Discovery Context Aware Labeling Data Lineage Mapping Behavioral Baselining Exfiltration Prevention See all 
Semantic Data Discovery Employs LLM-based intelligence to identify sensitive information based on contextual meaning rather than simple keywords. Context Aware Labeling Automatically classifies PII, PHI, and PCI data by analyzing surrounding content and intent for high accuracy levels. Data Lineage Mapping Constructs a visual graph showing the complete journey of sensitive assets across users, systems, and diverse applications. Behavioral Baselining Establishes normal user activity patterns to detect anomalies and identify potential insider threats in real-time environments. Exfiltration Prevention Monitors data movement across email and web channels to block unauthorized transfers before a security breach occurs. eBPF Endpoint Monitoring Utilizes lightweight kernel-level sensors to capture deep telemetry without impacting the performance of host machines. Risk Scoring System Assigns dynamic risk values to data assets based on their sensitivity level, accessibility, and observed movement patterns. Natural Language Investigation Enables security teams to query data access logs using plain English through an integrated AI-powered security copilot. Policy Automation Engine Generates and enforces protection policies across the enterprise based on detected data types and regulatory requirements. Regulatory Compliance Mapping Automatically aligns data protection controls with global frameworks like GDPR, HIPAA, SOC 2, and the DPDP Act standards. Insider Threat Detection Correlates identity logs with endpoint activity to identify malicious intent or accidental data exposure by employees. Metadata Processing Performs data classification at the source to ensure sensitive content stays local while only metadata moves upstream. Identity and Access Integration Synchronizes with existing identity providers to map data ownership and access rights to specific enterprise roles. Incident Remediation Workflows Facilitates automated response actions such as file encryption or device isolation when a high-risk event is detected. Risk Management Identifies sensitive data shared with third-party vendors or external collaborators to prevent unauthorized exposure. SIEM and SOAR Integration Streams high-fidelity alerts and contextual data into existing security operations center tools for unified response. | Brand Name | Aegislock AI |
| Information | Matters is an AI-native data security platform that thinks like an AI Security Engineer. It protects sensitive data wherever it lives or travels, across Cloud, SaaS, Endpoints, and On-Prem systems. |
| Founded Year | 2022 |
| Director/Founders | Keshava Murthy, Harsh Sahu |
| Company Size | 1-100 Employees |
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