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What Is An Anti-Bot?

Have you ever encountered a website asking you to solve a puzzle before completing a purchase or logging into an account to prove you are not a robot? That's an anti-bot measure in action. But, why is there a need for websites to use them? An anti-bot is a security measure that is put in place to stop bots from accessing and interacting with websites or launching bot attacks. Automated bad bots can cause damage to a website by constantly scraping data, injecting spam or malware, sending phishing (social engineering) emails, or even launching distributed denial of service (DDoS attacks) and credential stuffing attacks. Here are some common business impacts related to bot attacks from Arkose Labs research:

Arkose Labs Research

What Is An Anti-Bot?

An anti-bot refers to a technology that prevents malicious bots from accessing and infiltrating a system, for instance a user account, a business’ server, or other critical infrastructure. As bots and botnets can be utilized to conduct various automated attacks, it is more important than ever for businesses to implement an anti-bot solution. An anti-bot system uses machine learning algorithms that helps in detecting and blocking bots from gaining, even through brute force, unauthorized access.

As more businesses continue providing a digital-first experience for consumers, anti-bot verification is a crucial part of a comprehensive anti-bot solution. It ensures that human users are not falsely flagged as bots while allowing the system to be protected from malicious bots. It is important to note that bots can either be helpful or malicious computer programs. Anti-bot technology helps to ensure that only the beneficial ones, or legitimate human users, can operate and conduct their business.

How Does an Anti-Bot Work?

Advanced anti-bot solutions work by leveraging the power of algorithms, machine learning, and AI to detect and categorize bot traffic in real time and prevent cyberattacks. These solutions use various methodologies like device fingerprinting, turing tests (CAPTCHAs), and user behavior analysis, to uncover malicious bot behavior. Bot detection is used to analyze all traffic to websites, mobile applications, and APIs to detect and block bad bots.

Blocking bad bots is necessary to prevent cybercrime, fraud, data protection issues, content scraping, content piracy, account takeovers (ATO),credential stuffing, and other malicious activities. Many anti-bot solutions have worked to ensure that legitimate human users and customers are not negatively impacted by the bot detection process, but it is important to note that not all solutions are created equal.

Understanding the benefits of anti-bot technology

One of the key benefits of anti-bot solutions is that they ensure zero false positives, meaning that no legitimate user is penalized. Bot management technologies can accurately assess bots and block malicious activity while allowing legitimate bots to operate uninterrupted. In addition, cybersecurity controls can help prevent bots and botnets from wreaking havoc on IoT networks and securing sensitive information, like customer credit card numbers and login credentials, like email addresses and passwords.The result of a data breach due to a bot attack can be incredibly damaging to a businesses’ reputation and bottom line. Anti-bot technology also can provide insights into bot attacks in real time, which can be difficult based on the solution.

Difficult based on the solution

Implementing CAPTCHAs and other forms of verification

There are several types of anti-bots available to businesses and websites looking to prevent bot attacks. One of the more popular options is CAPTCHAs, which require users to complete a challenge before they can access a website or application. This can include typing in distorted text or clicking on specific images. Other forms of verification can also be implemented, such as two-factor authentication, which requires users to provide an additional piece of information to prove their identity.

Automatically flagging suspicious activity

To effectively detect bots, it's important to check for irregular or anomalous spikes in traffic, the contribution of a channel to new sessions and users, and an increase in activity, like multiple login attempts, from a remote location. Some anti-bot solutions automatically block users from specific geographic locations, called geofencing. However, as more attackers can spoof their IP addresses and locations, geofencing can be an inelegant solution to a problem and harm the customer experience.

Arkose Labs’ anti-bot keeps businesses secure

While implementing an anti-bot solution is imperative to keep businesses and their customers secure from malicious activities, not all anti-bot solutions are created equal. For instance, many traditional CAPTCHAs can easily be bypassed by today’s modern and advanced bots and botnets, giving them easy access to steal personal data. Further, legacy CAPTCHAs are not able to differentiate between non-human and human users. This means that legitimate human users and customers will be faced with frustrating challenges that are difficult to complete. This harms the user experience as many customers want a frictionless online experience.

Arkose Labs, on the other hand, provides a comprehensive anti-bot solution, backed by analytics, that effectively detects and mitigates the threat posed by malicious bots. Arkose Labs fields variable MatchKey challenges that are designed to meet modern threats head-on by providing the best of defensibility, usability, and accessibility in one product. In fact, Arkose MatchKey is the strongest CAPTCHA ever made. Better yet, while bots are stopped at front door endpoints, many legitimate users and good bots will experience little to no friction at all, which improves the user experience.

If you would like to learn more about how Arkose Labs can help to secure your business from malicious bots, without harming the user experience, book a demo with us today.


The purpose of an anti-bot system is to prevent bots and automated scripts from performing actions on a website or online platform and can shore up online vulnerabilities. This is typically done to protect the security of the platform and prevent spam or fraudulent activity, and ensure that human users, and their sensitive data, are protected from malicious activities. Anti-bot systems typically use a variety of techniques, such as CAPTCHA challenges, IP blocking, and behavior analysis, to detect and block bots from accessing or interacting with the platform.

No, while malicious bots often get the headlines, there are good bots as well. Many good bots, often referred to as web crawlers or spiders, are used by search engines to index and categorize web pages. Additionally, bots are also used to chat with customers on many businesses’ websites.

Analytics and reporting are also critical as many times it is hard to distinguish between user behavior and some attack patterns, like a low-and-slow attack, so having insights on how your solution is working to detect and defend against bots is important to analyze.

There are several types of anti-bot measures that can be combined to provide more comprehensive protection, some measures include include:

  1. CAPTCHA (Completely Automated Public Turing Test to Tell Computers and Humans Apart):tests, often images, that users have to complete to prove that they aren’t bots.
  2. Honeypots: fake form fields that are only visible to bots, these are designed to identify and block malicious bots.
  3. IP blocking: block bots based on their IP address.
  4. Browser fingerprinting: collecting and analyzing unique characteristics of a user's browser to identify and block bots.