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:
Crypto-based device identification that eliminates local device login credentials combined with
measured boot and remote attestation through the entire stack beginning at the firmware through
to the OS, container and application
Runtime Edge-based security, that provides autonomous AI-powered multi-layered protection in
real-time and can be easily scaled to any new deployments without any downtime or changes.
ZEDEDA and AI EdgeLabs 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. ZEDEDA
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 AI-based 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.
Zero trust — security model addressing the unique, perimeter-less security
challenges of Edge infrastructure
Zero touch — instantly on-board Edge infrastructure and applications from the cloud
— no on-site
expertise required
TPM-based cryptographic identities
Network-based asset discovery and monitoring — comprehensive and accurate real-time
view of the network assets and anomalies
Real-time threat detection and response at 2/3/4/ layers to protect any type of
threats and
attacks from the applications deployed across ZEDEDA environments:
- DDoS attacks
- MiTM detection
- Brute-Force
- Botnets
- LLMNR
- Reconnaissance
- Malware
- Ransomware
Distributed AI-Based Edge Firewall and ACL for network connectivity
Zero-hardware footprint offers software-defined, lightweight solution — no more
than 4% CPU,
reduced maintenance requirements and little human involvement
Simple integration via docker container technology
Unlimited scalability across all distributed infrastructure
Successful Outcomes
Real-time threat detection & response
99,9% precision
Improved performance
97% reduced downtime and outages
Cost efficiency
<15% reduction of the total security costs
Enhanced compliance
sensitive data is not transmitted over the network
Integration and Deployment
AI EdgeLabs’ functionality is deployed on Edge devices with a
single click through the
ZEDEDA 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.
Zededa + AI EdgeLabs integration scheme
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