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Network and Application Security

Bot and Fraud Management

Blocking bots, scraping, and automated abuse without impacting users

Malicious bots account for a significant portion of internet traffic, generating credential stuffing, content scraping, inventory hoarding, and various forms of fraud. Traditional bot blocking methods often harm legitimate users or are easily bypassed by advanced bots. Modern bot management solutions use machine learning and behavioral analysis to distinguish humans from automated traffic with minimal impact on UX. Protecting purchasing processes, login forms, and APIs against automated abuse is critical for e-commerce, finance, and any organization with a valuable online presence.

What problems it solves

  • Bot attacks on applications
  • Credential stuffing and account takeover
  • Web scraping and content theft
  • Fraud and automated abuse

Typical use cases

  • Detection and blocking of malicious bots
  • Protection of login forms
  • Securing purchasing processes
  • Bot traffic analytics

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