AI EdgeLabs logo

AI EdgeLabs

by Scalarr · Since 2021
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ActiveAvailable globallyCloud
Quick facts
VendorScalarr
Year launched2021
StatusActive
LocationDover, Delaware 19901, US
Countries servedGlobal
Languages10
Integrations1+
Free tierN/A
Free trialN/A
Contact salesYES

About AI EdgeLabs

AI EdgeLabs is an advanced mobile ad fraud detection software from Scalarr that helps protect against mobile app install ad fraud and prevent marketing losses. It combines machine learning algorithms, real-time analytics, and comprehensive reporting so that businesses can identify and mitigate fraudulent activities effectively. The platform allows advertisers to gain insights into their campaigns, ensuring that marketing budgets are not wasted on illegitimate installs. With AI EdgeLabs, users benefit from improved detection capabilities and actionable intelligence for improved decision-making. Key capabilities: machine learning detection real-time analytics comprehensive reporting fraud prevention campaign insights Best for: marketers and advertisers that need to safeguard their advertising investments from fraudulent activities.

AI EdgeLabs by Scalarr is a cutting-edge cybersecurity platform designed to protect edge computing environments through AI-driven threat detection and response. Developed by Scalarr—a company known for its expertise in machine learning and fraud detection—AI EdgeLabs focuses on securing industrial IoT (IIoT), OT (Operational Technology), and critical infrastructure systems. Its core mission is to defend against sophisticated cyber threats in decentralized networks where traditional perimeter-based defenses fall short. Key features include real-time anomaly detection, edge-native threat analytics, predictive intelligence, and autonomous response mechanisms. The software offers robust protection for industries like manufacturing, transportation, energy, and smart cities where latency-sensitive environments demand localized, intelligent security. The user interface of AI EdgeLabs is streamlined, practical, and designed with operational teams in mind. The dashboard offers an immediate view of threat levels, alerts, and device health across all edge nodes. Its design favors minimalism over clutter, with clearly demarcated sections such as “Threats,” “Network Map,” “Device Behavior,” and “Incident Log.” The navigation structure is intuitive and responsive, ensuring that security engineers, OT teams, and IT managers can quickly interpret alerts and deploy actions.

Pros & Cons

Pros
  • Boasts 99% accuracy in detecting and responding to threats immediately, significantly reducing downtime and potential damage.
  • Designed specifically for Edge and IoT environments, addressing their unique vulnerabilities and resource constraints.
  • Utilizes advanced AI (UML, RL) for self-learning threat detection and autonomous remediation, reducing the need for constant human intervention.
  • Protects against a wide range of threats including malware, ransomware, DDoS, and botnets, including zero-day attacks.
Cons
  • Although claiming 99% accuracy, no AI system is perfect, and potential for false positives or false negatives always exists
  • While a strength for its target market, companies with extensive traditional IT infrastructure might need additional security solutions
  • While stated as "easy integration," integrating any new cybersecurity solution into a complex, existing infrastructure can still pose challenges

Features

Key features

Autonomous Cyber AI

AI EdgeLabs utilizes advanced AI, including Unsupervised Machine Learning and Reinforcement Learning, to make smart decisions and take autonomous actions. This allows it to protect against in-progress attacks and quickly adapt to new threats.

Zero-day Threats & Attacks Detection

The platform is designed to recognize novel threat patterns and latent threats without prior labeling. This is crucial for detecting zero-day attacks that traditional signature-based systems might miss.

Full Visibility and Centralized Management

AI EdgeLabs offers a centralized dashboard providing early threat detection, risk assessment, prompt alerts, robust security reports, and incident status updates. This gives comprehensive visibility into the attack surface and network topology.

Easy and Safe Integration (EdgeLabs Sensor)

The proprietary lightweight EdgeLabs Sensor is deployed directly on the Edge. It continuously scans and reports network and Edge/IoT Gateway performance and configuration, keeping enterprise data safe within the infrastructure.

Automated Incident Response & Remediation

The solution leverages AI and responsive protocols for immediate remediation of detected threats. This automation significantly reduces the time to respond to and mitigate attacks.

Advanced Edge/IoT Network Visibility

The platform provides in-depth visibility into Edge and IoT environments, allowing for the detection of abnormal behavior and incidents with a low noise-to-signal ratio for lateral movement attack detection.

Additional features

Zero-day Threats & Attacks Detection

Identifies new risks and latent threats based on exploration and grouping, without requiring prior labeling.

Unsupervised Machine Learning and Reinforcement Learning Models

Utilizes these AI models to continuously check traffic behavior and prevent, detect, and block threat sources.

Full Visibility and Centralized Management

Offers early threat detection, risk assessment, prompt alerts, robust security reports, incident statuses, and recommendations.

Centralized Dashboard

Provides attack surface visibility and network topology signaling for abnormal behavior and incidents, with a low noise-to-signal ratio for lateral movement attack detection.

Easy and Safe Integration

The AI EdgeLabs Sensor is deployed on the Edge for secure integration.

EdgeLabs Sensor

A proprietary lightweight network telemetry and monitoring agent that continuously scans and reports network and Edge/IoT Gateway performance and configuration.

Advanced Edge/IoT Network Visibility

Provides deep insights into network behavior and potential threats within Edge and IoT environments.

AI-based Early Threat Detection

Leverages AI algorithms for proactive identification of threats.

Edge/IoT Asset Management

Helps manage connected Edge and IoT devices for security purposes.

Automated Incident Response & Remediation

Facilitates rapid and automatic responses to security incidents.

Pricing

Free trial
Free version
Request a quote
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Countries & Languages

Global
Countries served
10
Interface languages
10
Billing currencies

Interface languages

EnglishSpanishFrenchGermanItalianPortugueseRussianChineseJapaneseKorean

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇨🇦CAD🇦🇺AUD🇨🇭CHF🇨🇳CNY🇮🇳INR🇸🇬SGD

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