FAQ
What is edge computing?
Edge computing is how data is collected, stored, processed, and analyzed closer to the source instead of centralized data centers or processing warehouses. Typically, data centers are thousands of miles away from end users and where data is actually being generated, but in edge computing, data processes are brought closer to the actual devices where information is being created and accessed.
What is edge security?
Edge security is enterprise-grade security for corporate resources outside centralized data centers. It protects users and apps at the edge of an organization’s network, where data is significantly more vulnerable and prone to cyberattacks.
How does edge security help overcome edge computing challenges?
Edge computing is packed with benefits for businesses, but it also creates a larger surface area for cybersecurity threats to penetrate corporate networks. A network typically includes hundreds of edge computing devices, which also creates hundreds of risk areas and entry points for DDoS attacks, ransomware, and any other form of security breaches.

As the attack surface grows larger, protecting data at the edge is a monumental security challenge for Chief Information Security Officers and Chief Technology Officers.

With robust edge security measures, you can build a security stack that protects your corporate network against zero-day threats, malware, and point-of-access attacks.
What does edge security look like?
There are several essential components in edge security:
  • Device security. Endpoints or edge computing devices can be sensors, security cameras, routers, card terminals, cash registers, and more. These endpoints are everywhere, especially after hybrid work became the norm, giving room for distributed remote offices as well as BYOD devices all over the world. Typically, these edge devices fail to focus on security and instead prioritize functionality and connectivity. In addition, devices are at the risk of being stolen, can have insecure VPN connections, or lack a UI for IT visibility. Effective device security gives IT teams a centralized way to manage and monitor devices with ongoing user authentication and access control policies.
  • Cloud security. The volume of data generated by internet-connected devices is massive. By design, edge computing moves data processing and storage closer to its source so it better manages the load, making it inadvertently vulnerable to attacks. Protecting sensitive data should be met with strict compliance requirements, so it’s critical to prioritize cloud security for the edge with measures like encryption for local and in-transit data between devices and the network.
  • Network edge security. Users need internet connectivity to access cloud and SaaS applications, and while it makes for a superior user experience, it also increases the attack area for malicious activity from the internet and into the corporate network. Network edge security includes web filtering, anti-malware software, firewalls, intrusion prevention systems, and more.
What is AI EdgeLabs?
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, ransomware, DDoS, botnets, and other threats. AI EdgeLabs delivers cybersecurity measures by bringing network visibility, early threat detection, and automated incident response in the Edge and on-prem environments.
What are the AI EdgeLabs components?
Sensor - a small piece of software that can be installed directly into the Edge and work as autonomous threat detection and prevention software. The Sensor is the agent that holds AI models and extracts network-based data points and provides threat detection and prevention on the spot.

Backbone - API server that holds communication between Edges, Security Operation Teams, and EdgeLabs infrastructure, where it stores incidents/features/historical data for operations in future. Backbone provides core functionality for alert mitigation and deduplication. The Sensor sends compacted telemetry and registers alerts directly on the Backbone.

The Lab - internal ecosystem for the DataScience and Security R&D teams that provides capabilities to research new threat patterns, re-train AI models, and maintain a knowledgebase of the threats and attacks that are known on the market and can be applied for detection of new threats with AI.
What security risks does AI EdgeLabs help protect against?
There is a range of edge computing security risks that pose the highest threat for the organizations due to vulnerable Edge security architecture:
  • Theft of the data on a device;
  • Data exfiltration on a device;
  • A distributed ransomware attack;
  • Unauthorized access to centralized computing resources.
What are the AI EdgeLabs industry applications?
  • Healthcare
  • Automotive
  • Manufacturing
  • Telco
  • Retail
  • Agriculture
How does the AI EdgeLabs Sensor work?
The EdgeLab Sensor is a proprietary network telemetry and monitoring agent that continuously scans and reports network and Edge/IoT Gateway performance and configuration. It holds an AI-powered model stack that continuously checks traffic behavior through pre-trained algorithms. With EdgeLab Sensor, infrastructure teams can locate application performance problems faster, reduce time-to-diagnosis, and accelerate time-to-repair without additional efforts for deployment and integration thanks to plug and play capabilities.

During the first deployment, the EdgeLabs Sensor runs a configurable set of security checks and topology research to collect the initial context of the environment. Data from these collections is analyzed by the EdgeLabs AI Platform™ (ELAP).

ELAP provides a set of AI-based models which are pre-trained in the existing knowledge base of threat patterns and attack signatures; this pre-training is always done centrally on ELAP. By running these collections from a fleet of well-distributed/placed EdgeLabs Sensors, the AI Security team can dramatically improve the precision with which they instrument, monitor, and maintain their application delivery infrastructure.

The EdgeLabs Sensor helps:
  • Generate near-time visibility of infrastructure and application performance.
  • Prevent and block threat sources in real-time.
  • Integrate cloud-based and on-premises application performance monitoring.
  • Monitor SaaS applications from your users’ vantage point.
  • Monitor IaaS resources from your users’ vantage point.
What are the key features of AI EdgeLabs?
  • NETWORK VISIBILITY & ANOMALY DETECTION
    • Low noise-to-signal ratio for Lateral Movement attack detection at scale;
    • Selection of next steps for threats for easy acceptance, mitigation, and remediation of risk vulnerabilities. Individual or bulk support for lifecycle disposition;
    • Centralized dashboard that offers attack surface visibility and network topology signaling both abnormal behavior and alerts;
    • Robust security audit reports and posture based on assets with clear recommendations on how to solve specific security issues.
  • THREAT ANALYTICS
    • Threat monitoring based on the latest behavior-based analytics;
    • Rich traffic inspection for anomalous patterns with Reinforcement Learning algorithms and threat modeling;
    • Threat level overview and severity-based prioritization;
    • In-depth alerts with context of adversary tactics, techniques, and procedures (TTPs);
    • Scope mapping of MITRE ATT&CK by the security team.
  • INCIDENT RESPONSE & REMEDIATION
    • Real-time visibility across an organization’s information security systems (SIEM);
    • Threat history and research based on historical data;
    • Anomalous behavior reporting and forensics;
    • SOC/NOC Monitoring (24/7);
    • Alerting system with Jira, Slack, Discord, and other reporting system integrations.
Is there a trial of AI EdgeLabs?
Yes, AI EdgeLabs is packed for immediate use and we offer prospects a trial of the solution to try out the basic functionality. Reach out to our AI EdgeLabs representatives to get your free trial at [email protected].
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