Best Attack Surface Management Platforms - Page 6

Compare the Top Attack Surface Management Platforms as of June 2026 - Page 6

  • 1
    RunSafe Security

    RunSafe Security

    RunSafe Security

    RunSafe Security protects embedded software across critical infrastructure, delivering automated vulnerability identification and software hardening from build-time to runtime to defend the software supply chain and critical systems without compromising performance or requiring code rewrites. The RunSafe Security Platform includes the authoritative build-time SBOM generator for embedded systems and C/C++ projects, automated vulnerability identification and risk quantification, patented memory relocation techniques to mitigate memory-based vulnerabilities, and pre-hardened open-source packages and containers for immediate protection. RunSafe Security’s customers span the aerospace and defense, energy, operational technology, industrial automation, transportation and automotive, medical device, and high-tech manufacturing verticals.
  • 2
    Trend Micro Hybrid Cloud Security
    Trend Micro's Hybrid Cloud Security offers a system to protect servers against threats. Advancing security from data centers to cloud workloads, applications, and cloud-native architectures, Cloud Security provides platform-based protection, risk management, and multi-cloud detection and response. Shift from disconnected point products to a cybersecurity platform with unparalleled breadth and depth of capabilities including CSPM, CNAPP, CWP, CIEM, EASM, and more. Combines continuous attack surface discovery across workloads, containers, APIs, and cloud assets, real-time risk assessments and prioritization, and automated mitigation actions to dramatically reduce your risk exposure. Scans 900+ AWS and Azure rules to detect cloud misconfigurations and map findings with dozens of best practices and compliance frameworks. Helps cloud security and compliance teams understand their level of compliance, easily identifying any deviations from appropriate security standards.
  • 3
    LinkShadow

    LinkShadow

    LinkShadow

    LinkShadow Network Detection and Response (NDR) ingests network traffic and uses machine learning to detect malicious activity and to understand security risks and exposure. It combines detection for known attack behavior with the ability to recognize what is typical for any given organization, flagging unusual network activity or session that can indicate an attack. Once a malicious activity is detected, LinkShadow NDR responds using third-party integration like firewall, Endpoint Detection and Response (EDR), Network Access Control (NAC) etc. NDR solutions analyze network traffic to detect malicious activity inside the perimeter—otherwise known as the east-west corridor—and support intelligent threat detection, investigation, and response. Using an out-of-band network mirror port, NDR solutions passively capture network communications and apply advanced techniques, including behavioral analytics and machine learning, to identify known and unknown attack patterns.
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