How BotManager Manages Automated Bot Traffic
Not All Traffic Comes From Real Users
Not every request reaching a website or digital service comes from a real user.
Some automated bots, such as search engine crawlers, provide useful functions. Others can directly affect service operations, including macros designed to purchase limited products or tickets, scraping bots collecting large amounts of data, and malicious bots attempting account takeover.
The challenge is that automated bots are becoming increasingly sophisticated and can behave more like legitimate users.
Simply blocking specific IP addresses or limiting users who send requests at high speed is no longer enough to reliably distinguish automated bots from real users.
Should You Block Every Automated Bot?
Blocking all bots is not always the right approach.
Some crawlers and automated services can be beneficial to your business, while bots repeatedly attempting purchases, reservations, or large-scale data collection may need to be restricted according to your service policies.
This means effective bot management goes beyond simply determining whether traffic comes from a bot.
The key is to understand what type of bot is accessing your service, how it behaves, and what action should be taken based on its purpose and risk.
How Does BotManager Manage Bot Traffic?
BotManager analyzes various behaviors and traffic patterns to distinguish legitimate users from automated bots.
Rather than relying on a single indicator, it evaluates multiple signals, including repeated requests, request velocity, behavioral patterns, and other identifiers.
Once suspicious automated traffic is detected, organizations can apply policies appropriate to their services. Depending on the situation, requests can be blocked, challenged for additional verification, or continuously monitored based on their activity history.
Instead of treating every bot the same way, BotManager helps organizations identify and manage automated traffic according to its behavior and potential impact on the service.
See BotManager in Action
How can you distinguish automated bots from legitimate users?
And once automated traffic is detected, how can you respond appropriately?
In this video, we introduce how BotManager detects, analyzes, and manages automated bot traffic to help organizations protect their digital services.
▶ How BotManager Manages Automated Bot Traffic
Want greater visibility and control over the automated traffic reaching your digital services?