Best Insider Threat Management Software for Freelancers - Page 3

Safeguard your SaaS applications from breaches, threats, and data leaks seamlessly. In just a few minutes, you can secure essential SaaS platforms like Workday, Salesforce, Office 365, G Suite, GitHub, Zoom, and more, using data-driven insights, vigilant monitoring, and effective remediation strategies. As businesses increasingly transition their critical operations to SaaS, security teams often struggle with a lack of cohesive visibility necessary for swift threat detection and response. They face challenges in addressing fundamental inquiries: Who has access to these applications? Who holds privileged user status? Which accounts have been compromised? Who is sharing files with external parties? Are the applications set up in accordance with industry best practices? It is crucial to enhance SaaS security measures. Obsidian provides a streamlined yet robust security solution designed specifically for SaaS applications, focusing on unified visibility, ongoing monitoring, and advanced security analytics. By utilizing Obsidian, security teams can effectively safeguard against breaches, identify potential threats, and take prompt actions in response to incidents within their SaaS environments, ensuring a comprehensive approach to security management.

LinkShadow Network Detection and Response NDR ingests traffic and uses machine-learning to detect malicious activities and to understand security threats and exposure. It can detect known attack behaviors and recognize what is normal for any organization. It flags unusual network activity that could indicate an attack. LinkShadow NDR can respond to malicious activity using third-party integration, such as firewall, Endpoint Detection and Response, Network Access Control, etc. NDR solutions analyze the network traffic in order to detect malicious activities inside the perimeter, otherwise known as the "east-west corridor", and support intelligent threat detection. NDR solutions passively capture communications over a network mirror port and use advanced techniques such as behavioral analytics and machine-learning to identify known and unidentified attack patterns.