Best Web-Based Attack Surface Management Platforms of 2026 - Page 7

Organizations that utilize SaaS solutions implement Canonic to minimize their attack surface, identify threats that are specific to SaaS environments, and automate their response strategies. The number of business applications is rapidly increasing, along with a rise in add-ons and API extensions. Users are fully leveraging the advantages of this new application ecosystem, which offers enhanced access and seamless interconnectivity. However, while the integration of apps provides significant benefits, it also introduces a complex landscape of potential risks. It is crucial to identify rogue and vulnerable applications while evaluating the integration posture, behavior, and associated risks of their API access. Suspicious applications should be quarantined, and excessive or inappropriate permissions must be curtailed, with access revoked or blocked when necessary. Facilitating app integrations can be achieved by automating the processes for app vetting and recertifying app access. Furthermore, it is essential to map and analyze the potential impact of applications, services, add-ons, and other integrations, while uncovering any vulnerable, misconfigured, or misused integrations. Continuous monitoring of behavior is vital, and access should be revoked if warranted, ensuring that end-users are kept informed through streamlined notifications. By doing so, organizations can safeguard their environments while still enjoying the benefits of app integration.

RunSafe Security is a robust cybersecurity platform that focuses on protecting embedded systems from memory-based vulnerabilities without disrupting the development process. The platform helps businesses create secure, high-performance software by automating security at build time, preventing exploitation at runtime, and minimizing reliance on patches. With its fully automated cyber protection, SBOM generation, and seamless integration, RunSafe empowers organizations to safeguard their products, reduce their attack surface, and enhance software integrity with no additional system overhead.

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.