About
Teramind, established in 2014, is a leader in behavioral analytics and insider threat management, providing solutions to protect sensitive data, prevent insider threats, and enhance workplace productivity for over 10,000 clients across various industries. Their core offerings include insider threat management and data loss prevention, which leverage AI-powered tools like 'Predictive Edge – Powered by brAIn' and 'Workforce Intelligence Copilot (Timmy)' to monitor user behavior, detect risky activities in real-time, and offer insights into productivity. Teramind also provides employee monitoring, business process optimization, and professional services, all while maintaining a privacy-first approach and ensuring compliance with regional privacy laws, including securing data in advanced AI environments.
Products
1Monitor, analyze, and manage employee activity to prevent insider threats, safeguard sensitive information, and optimize team performance.
Recent News
10 Shadow AI Detection Tools for Enterprise Data Security
This article offers insights into tools for detecting shadow AI, crucial for MSPs to enhance client data security and manage emerging AI-related risks in enterprise environments.
Read morePharma Biotech DLP: Protecting IP, CRO Access, and Compliance
Focuses on Data Loss Prevention for the pharmaceutical and biotech industries, providing MSPs with specialized guidance for protecting intellectual property and ensuring compliance for their regulated clients.
Read moreAI Prompt Data Leakage: How to Secure Sensitive Data in LLMs
Discusses critical security concerns regarding data leakage through AI prompts in Large Language Models, offering strategies for MSPs to secure sensitive data for clients adopting AI technologies.
Read moreData Exfiltration Forensics: How to Trace Stolen Data
This article provides insights into tracing stolen data, which is highly relevant for MSPs offering cybersecurity services, incident response, or data breach analysis to their clients.
Read moreClaude DLP: Secure Your Sensitive Data in Agentic AI
This article discusses Data Loss Prevention (DLP) strategies specifically for Agentic AI, providing critical information for MSPs focused on securing client data in advanced AI environments. It highlights methods to protect sensitive information from AI-related risks.
Read moreFounded
2014
Employees
130
Industry
information technology & services
Headquarters
Cheyenne, Wyoming, United States