List of the Top Attack Surface Management Platforms for Enterprise in 2026 - Page 7

RunSafe Security provides an integrated solution for defending embedded systems against cyber threats, offering runtime protection and preventing memory corruption vulnerabilities. Through its innovative approach, RunSafe eliminates the need for rewriting code or adding extra software agents, allowing organizations to secure their systems with minimal disruption. The platform’s automated processes, such as the generation of SBOMs and real-time incident response monitoring, ensure that businesses can mitigate risks while maintaining system performance and compliance with security standards.

Trend Micro's Hybrid Cloud Security offers a robust solution aimed at protecting servers from a wide array of threats. By bolstering security across traditional data centers as well as cloud-based workloads, applications, and cloud-native frameworks, this Cloud Security solution ensures platform-oriented protection, effective risk management, and rapid multi-cloud detection and response capabilities. Moving beyond standalone point solutions, it provides a cybersecurity platform rich in features such as CSPM, CNAPP, CWP, CIEM, EASM, and others. The solution continuously discovers attack surfaces across various environments including workloads, containers, APIs, and cloud resources, while offering real-time evaluations of risks and their prioritization. Additionally, it automates mitigation strategies to significantly reduce overall risk exposure. The platform diligently analyzes over 900 AWS and Azure rules to detect cloud misconfigurations, aligning its outcomes with a range of best practices and compliance standards. This advanced functionality allows cloud security and compliance teams to obtain insights regarding their compliance status, enabling them to quickly identify any deviations from established security protocols and enhance their overall security posture. Moreover, the comprehensive nature of this solution ensures that organizations can maintain a proactive stance against emerging threats in the ever-evolving cloud landscape.

LinkShadow's Network Detection and Response (NDR) system analyzes network traffic and employs machine learning to identify malicious activities and assess security vulnerabilities. By recognizing established attack patterns and understanding what constitutes normal behavior within an organization, it is capable of flagging any unusual network activities that might suggest an ongoing attack. Furthermore, LinkShadow NDR can take action against detected threats through integration with third-party tools like firewalls and Endpoint Detection and Response systems. NDR solutions are designed to scrutinize network traffic, particularly in the "east-west corridor," to facilitate advanced threat detection. They operate by passively capturing data through a network mirror port, utilizing sophisticated methods such as behavioral analytics alongside machine learning to uncover both known and unknown attack techniques. This proactive approach not only enhances security measures but also contributes to a more resilient organizational infrastructure.