Best Attack Surface Management Platforms - Page 6

Evolve Security’s Darwin Attack® platform is designed to help maximize the utilization and collaboration of security information, to enable your organization to perform proactive security actions, improving your security and compliance, while reducing risk. Attackers continue to get better at identifying vulnerabilities, then developing exploits and weaponizing them in tools and exploit kits. If you want a chance at keeping up with these attackers you also need to become better at identifying and fixing vulnerabilities, and doing so before attackers are taking advantage of them in your environment. Evolve Security’s Darwin Attack® platform is a combination data repository, collaboration platform, communication platform, management platform, and reporting platform. This combination of client-focused services improves your capability to manage security threats and reduce risks to your environment.

Cortex XSIAM (Extended Security Intelligence and Automation Management) by Palo Alto Networks is an advanced security operations platform designed to revolutionize threat detection, response, and management. It combines AI-driven analytics, automation, and comprehensive visibility to enhance the efficiency and effectiveness of Security Operations Centers (SOCs). By integrating data from multiple sources, including endpoint, network, and cloud telemetry, Cortex XSIAM provides real-time insights and automated workflows to detect and mitigate threats faster. Its machine learning capabilities reduce noise by correlating and prioritizing alerts, enabling security teams to focus on critical incidents. With its scalable architecture and proactive threat hunting features, Cortex XSIAM empowers organizations to stay ahead of evolving cyber threats while streamlining operational processes.

SaaS-based organizations use Canonic to reduce their attack surface, detect SaaS-native threats, and automate response. Business apps are proliferating. Add-ons and API extensions are even more so. Users are taking full advantage of the new app world, its access, and ease of interconnection. But app-to-app integration benefits also come with a new landscape of risks. Uncover rogue and vulnerable apps, Assess each integration posture, behavior, and the risk involved with its API access. Quarantine suspicious apps, reduce excessive and inappropriate privileges, and revoke and block access if necessary. Enable app integrations by automating app-vetting and app access recertification processes. Map and analyze apps, services, add-ons, and other integrations blast radius. Uncover vulnerable, abused, and misconfigured integrations. Continuously monitor behavior, revoke access if necessary, and streamline end-user notifications.

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.

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.

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.