What are Edge Security Risks?
Edge Nodes, IoT Devices and IoT Gateways are often deployed far outside a centralized data infrastructure or data center, 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.
800B+ 2020
2T+ 2021
Number of detected IoT
attacks have tripled
each year
The growing number of Edge computing security risks pose severe threats for organizations with vulnerable Edge security architectures, including:
  • Theft of the data on a device;
  • Data exfiltration on a device;
  • A distributed ransomware attack;
  • Unauthorized access to centralized computing resources.
“If the past 12 months have taught us anything, it is that cybersecurity can no longer be an afterthought, but must be made a priority throughout every industry” — threatpost.com
IoT attacks are the biggest security concern
Attacks on IoT devices that may
impact critical operations
Lack of skilled personnel to
implement IoT security
Protecting sensitive data generated by an
IoT device (encryption, tokenization, etc.)
Identifying or discovering sensitive data
generated by an IoT device
Loss or theft
of IoT devices
Lack of security frameworks and
controls within the IoT environment
What is the Solution?
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 in the Edge and on-prem environments. To deliver advanced cybersecurity capabilities at every layer of the Edge architecture, we leverage artificial intelligence and reinforcement learning models.
Network Visibility

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.

What are the main AI EdgeLabs Key Features?
Threat Analysys & Anomaly Detection

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 and 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.

Integrations with Jira, Slack, Splunk, and other SIEM systems.

Industries will
Benefit from AI
Retail, Telecom, Automotive,
Supply chain, Manufacturing,
Healthcare, Agriculture, Energy,
Smart City, web3
Protect your
Edge and IoT
Envisioned, developed,
and powered by
Scalarr has been on a mission to be the go-to solution for
cybersecurity since 2016. Its AI-powered solutions are recognized
as the most advanced and accurate for early and effective threat
detection, protection, and remediation.
Contact us
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