Edge nodes, IoT devices and IoT gateways are often deployed far outside a centralized data infrastructure or datacenter, making it vulnerable to malware, DDoS, botnets, and other threats. It is significantly harder to monitor Edge/IoT infrastructures from both a digital and physical security standpoint.
AI EdgeLabs is a powerful and autonomous cybersecurity AI platform that helps security teams respond immediately to ongoing attacks and protect Edge/IoT infrastructures against malware, DDoS, botnets, and other threats. AI EdgeLabs delivers cybersecurity measures by bringing network visibility, early threat detection, and automated incident response at the edge and in on-premises environments.
The collaboration between Scale Computing and AI EdgeLabs signifies a significant leap forward in the evolution of edge computing. By combining the strengths of SC//Platform for edge computing and AI EdgeLabs' cutting-edge security solutions, this joint offering provides a secure, scalable, and highly available edge computing platform. It is designed to meet the complex requirements of distributed enterprises, offering ease of deployment and management while ensuring the utmost security and performance for mission-critical applications at the edge.
By integrating SC//Platform's high availability with AI EdgeLabs' advanced security features, the solution provides a holistic approach to edge computing security. This comprehensive strategy ensures uninterrupted operation and efficient management of distributed edge deployments, enhancing overall resilience and security.
AI EdgeLabs offers early detection capabilities, allowing immediate response to ongoing attacks, thereby minimizing potential damage and ensuring the security of SC//Platform edge and IoT infrastructures.
The joint solution ensures continuous monitoring of edge environments, proactively identifying and mitigating security risks. This includes preventing data exfiltration, ransomware attacks, and unauthorized access, to enhance overall security posture.
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