Best Attack Surface Management Platforms for Enterprise - Page 7

Trend Micro's Hybrid Cloud Security provides a comprehensive solution designed to safeguard servers from various threats. By enhancing security from traditional data centers to cloud workloads, applications, and cloud-native frameworks, this Cloud Security solution delivers platform-based protection, effective risk management, and swift multi-cloud detection and response capabilities. Transitioning away from isolated point solutions, it offers a cybersecurity platform with unmatched range and depth of features, which include CSPM, CNAPP, CWP, CIEM, EASM, and more. It integrates continuous discovery of attack surfaces across workloads, containers, APIs, and cloud resources, along with real-time risk evaluations and prioritization, while also automating mitigation strategies to significantly lower your risk exposure. The system meticulously scans over 900 AWS and Azure rules to identify cloud misconfigurations, aligning its findings with numerous best practices and compliance frameworks. This functionality empowers cloud security and compliance teams to gain clarity on their compliance status, enabling them to swiftly recognize any discrepancies from established security norms and improve their overall security posture.

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.