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Software Status:Active

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 Details

Vendor
Scalarr
Year Launched
2021
Location
Dover, Delaware 19901, US
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Portuguese, Russian, Chinese, Japanese, Korean
Users
Cybersecurity Analysts, IT Security Managers, Network Administrators, Data Scientists
Industries Served
Smart Cities, Healthcare, Agriculture, Transportation and Logistics, Oil and Gas, Telecommunications
Tags
#Cybersecurity #AI #EdgeLabs

AI EdgeLabs's In-App Market Place

Does AI EdgeLabs have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), CAD (C$), AUD (A$), CHF (Fr), CNY (¥), INR (₹), SGD (S$)

Pros & Cons

  • 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.
  • 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

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