Secure and Manage Edge Distributed Environments at Scale
Edge distributed environments may have no physical perimeter, are heterogeneous, include devices that can be too constrained to run traditional security solutions, can be characterized by the network infrastructure ranging from complex to non-existent, with a lot of existing legacy protocols in place, little to no onsite IT staff, and run into the tens of thousands or more at a scale.
A comprehensive Edge security framework requires two capabilities:
ZEDEDA AI EdgeLabs and have partnered to deliver a comprehensive and unique cyber security solution for distributed infrastructure that can be deployed in one-click within minutes to all your Edges across multiple locations.
ZEDEDA delivers an open, distributed, cloud-native Edge orchestration and management solution, simplifying the security and remote management of Edge infrastructure and applications at scale. leverages an open architecture built on EVE, from the Linux Foundation. EVE delivers an industry leading identity and software attestation workflow that ensures the device can be trusted and that the entire software stack is exactly as expected.
AI EdgeLabs provides a distributed, multi-layered, Edge-native security to ensure runtime protection for Edge infrastructure at scale. AI EdgeLabs is a comprehensive AIbased solution that directly deploys to Edge or IOT gateway and secures both virtual and physical Edge environments in autonomous mode, ensuring continuous inline defense against any type of threats in real time, even for disconnected offline systems or those with intermittent connection.
Visualize. Orchestrate. Secure.
Our joint ZEDEDA & AI EdgeLabs platform solution addresses the unique security challenges of distributed Edge infrastructure and provides a multi-layered Edge-native security.
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🞓 Successful Outcomes
🞓 Integration and Deployment
AI EdgeLabs’ ZEDEDA functionality is deployed on Edge devices with a single click through the Marketplace.
ZEDEDA’s orchestration solution remotely manages the underlying infrastructure, including hardware, EVE, and application VMs and containers.
AI EdgeLabs deploys a lightweight container (agent) on each host, which acts as a gateway for the internal ecosystem of the deployed virtual machines and containers. On-host internal VLAN network provides NAT-based approach for the network communication between services and exposures outside, so that AI EdgeLabs guarantees advanced AI/ML-based firewalling capabilities for the threats and attempts to down or hack the system.
🞓 Industries We Serve
