Nowadays, bots are widespread on the internet. Search engine crawlers, monitoring services, AI agents, automated testing tools, and other legitimate bots interact with websites every day. At the same time, malicious bots can scrape websites, test stolen credentials, attempt account takeovers, abuse APIs, submit fraudulent forms, and search for sensitive information.

Thus, websites need to analyze automated traffic and detect fraudulent bots to protect personal data. At the same time, websites must ensure that their bot-detection technologies process user information lawfully, without collecting personal identifiers without consent.

This raises an important privacy question for businesses operating in Europe: Does GDPR apply to bots and automated traffic?

Read this guide to learn how GDPR applies to bots and automated traffic, and what measures businesses should take to prevent bot attacks and protect personal data.

Does GDPR Apply to Bots and Automated Traffic? 

Bots do not have privacy rights. However, GDPR requirements apply when bot activity involves collection, processing, or exposure of personal data relating to identifiable individuals.

Under the GDPR, obvious identifiers, such as names, email addresses, phone numbers, or account information, are personal data; personal data can also include online identifiers like IP addresses, device identifiers, fingerprints, cookies, behavioral signals, or other information relating to users. Processing such data is regulated by GDPR.

Sometimes, malicious bots process personal data by using stolen credentials to access customer accounts and extract names, addresses, or transaction histories. On the other hand, technology businesses themselves often handle personal data when trying to identify and block bots.

Bots and GDPR compliance are mutually related. Organizations need to consider both sides of the problem: protecting personal data from malicious automated traffic while ensuring that their bot-detection technologies process user information lawfully and proportionately.

The GDPR does not cover data collected by bot-detection technologies if it cannot be connected to a person. However, bot-detection technologies often analyze bots and individual visitors together. Website owners should therefore assess what data these tools collect and whether personal data is involved.

How Bots Steal Personal Data

Malicious bots most often steal personal data through credential stuffing, automated account takeover attacks, web scraping, API abuse, and automated attacks. Sometimes, the objective is fraud rather than data theft, but personal data can still be exposed during the attack.

Malicious bots often target websites, login systems, APIs, mobile applications, and other internet-facing infrastructure automatically, using different techniques:

• Credential stuffing
  Attackers obtain username and password combinations exposed in previous breaches and then use bots to test those credentials against other websites. Many people reuse passwords, so bots can sometimes log in to genuine customer accounts.
• Automated account takeover attacks
  Bots could automatically takeover accounts by testing passwords, abusing password-reset processes, or targeting weaknesses in authentication systems. Once an account has been compromised, attackers may be able to access names, email addresses, payment information, order histories, messages, or other personal data.
• Web scraping
  Scraping itself is not necessarily malicious, but automated systems can collect Personal Information at scale from public pages, user profiles, marketplaces, forums, and other sources. In some cases, such data collection could be unlawful.
• API abuse
  Poorly protected APIs may allow automated requests to retrieve far more information than necessary. Bots can systematically test endpoints, identifiers, and access controls to retrieve exposed personal data.
• Automated attacks
  Automated attacks target registration forms, checkout systems, loyalty programs, promotional campaigns, and support tools. Often, the objective is fraud rather than data theft, but personal data can still be exposed during the attack.

Such extraction of Personal Information can potentially lead to a personal data breach. Where a breach is likely to affect individuals' rights and freedoms, Article 33 generally requires the controller to notify the appropriate supervisory authority within 72 hours after becoming aware of it. Higher-risk breaches can also trigger notification requirements toward affected individuals.

Use CookieScript Cookie Scanner to detect website cookies, bot-protection tools, and other trackers running on your website:

GDPR Compliance Requirements for Bot Traffic

GDPR does not contain specific requirements for bot traffic compliance. Instead, existing GDPR principles apply whenever the tools used for bot detection, fraud prevention, cybersecurity, or incident response involve personal data.

To ensure compliance with the GDPR and the eprivacy Directive, implement a comprehensive data protection strategy for bot traffic:

1. Obtain a lawful basis for processing
   GDPR requires a lawful basis for data processing.  Legitimate interests may be relevant to cybersecurity and fraud-prevention activities. GDPR Recital 47 explicitly notes that processing personal data that is strictly necessary for fraud prevention may constitute a legitimate interest. However, such processing still requires an assessment of necessity and individuals' rights.
2. Respect the data minimization principle
   One of the most important GDPR compliance requirements is data minimization. Organizations should collect only the information necessary for the purpose for which it is being processed. GDPR Article 5 requires personal data to be adequate, relevant, and limited to what is necessary.
3. Respect the purpose limitation principle
   Limit the use of personal data to the purpose of collection or bot-preventing activities and avoid unauthorized reuse of collected data.
4. Respect the storage limitation principle
   Set retention periods for server logs, bot-detection records, and other security data. GDPR doesn’t allow keeping data indefinitely.
5. Be transparent
   Create a comprehensive Privacy Policy that contains all mandatory elements. Provide privacy notices that contain an active link to the Privacy Policy and accurately explain relevant security-related processing where required, including categories of data collected, purposes, retention practices, third-party recipients, and other applicable information.
6. Sign contracts with service providers
   Sign contracts with data processors and third parties and make sure they comply with the GDPR on your behalf. Where a third party processes personal data on your behalf, make sure the processor complies with the GDPR requirements. International data transfers may create additional compliance requirements.
7. Implement data security measures
   Article 32 requires controllers and processors to implement technical and organizational measures appropriate to the risks involved. Implement robust technical (encryption, access controls), organizational (policies, training), and procedural security measures to protect data, and regularly assess security measures.
8. Implement data protection by design and by default
   Design or select bot-detection systems that focus on data security, rather than add security measures only after deployment.
9. Prepare for data breaches
   Data breaches may still happen. Thus, implement a data breach response plan and the procedures for detecting and reporting breaches, caused by bots, to mitigate their impact.
10. Keep records for data protection
    Accountability is as important as compliance. It is not enough to follow GDPR compliance principles in practice- businesses must be able to demonstrate compliance.

Effective bot protection and GDPR compliance should complement each other: organizations should implement sufficient security measures to detect bot traffic while avoiding unnecessary data collection about individuals.

Do Bot Detecting Cookies Require Consent?

When a bot-detection cookie is strictly necessary to provide a service requested by the user or to protect a website, consent generally is not required. However, consent is required when bot-detecting tools also track visitors across websites, create detailed behavioral profiles or a persistent device fingerprint, are used for analytics or advertising purposes, or when the information collected constitutes personal data.

Some bot-detection services set cookies on visitors’ devices or access information about them. Such situations may require Cookie Consent, but not always.

In Europe, cookie usage is primarily governed by the GDPR and the eprivacy framework. These European data rules say cookies generally require informed, explicit consent, except for strictly necessary cookies.

When a bot-detection cookie is strictly necessary to provide a service requested by the user or to protect a website, consent generally is not required.

For example, strictly necessary cookies for security reasons could be cookies that detect repeated failed login attempts and protect an authentication system.

However, not every cookie described as a security cookie is automatically exempt from consent. It’s not enough to label a cookie as "security" or "bot detection." Whether cookies need consent or not mainly depends on what the cookie actually does and whether it is strictly necessary for the relevant service or security function.

Businesses should obtain user consent if technologies for bot-detecting tools:

• Track visitors across websites;
• Create detailed behavioral profiles;
• Create a persistent device fingerprint;
• Are used for analytics, advertising or other secondary purposes; or
• Collect unrelated information that is not necessary for security.

Even where Cookie Consent is not required under an applicable ePrivacy exemption, such as for security reasons, GDPR obligations can still apply if the information collected constitutes personal data. Businesses still need an appropriate lawful basis, transparency, data retention limits, security controls, and other safeguards.

A Practical Guide for Preventing Bot Attacks and Protecting Personal Data

To prevent bot attacks and protect personal data, identify all personal data you handle, monitor automated behavior, strengthen authentication controls, secure APIs, limit the impact of a successful attack, review your bot-detection providers and the data they collect, and prepare for bot-related data breaches.

An effective strategy for preventing bot attacks should combine cybersecurity controls with privacy-by-design principles.

To prevent bot attacks and protect personal data, use this practical guide:

1. Conduct a data audit
   Begin by identifying all personal data you collect, process, and store, and which website functions or APIs can access it. Login pages, account portals, password-reset functions, checkout systems, search endpoints, registration forms, and APIs handling customer records deserve particular attention.
2. Monitor automated behavior
   IP addresses alone are rarely sufficient to distinguish humans from sophisticated bots. Effective bot detection involves request velocity, navigation patterns, authentication failures, unusual API activity, session behavior, and other risk indicators. Make sure to collect only the information necessary for security purposes.
3. Strengthen authentication controls 
   Rate limiting, multi-factor authentication, breached-password detection, secure password-reset processes, and protections against credential stuffing can significantly reduce opportunities for automated account takeover.
4. Secure APIs
   APIs are one of the most frequent entry points for bots. Implement authentication and authorization on every relevant API request and limit sensitive data access through APIs.
5. Limit the impact of a successful attack
   Implement data minimization and data retention principles to limit the impact of automated traffic. Encrypt and segmentate data and use appropriate data access controls to reduce the amount of personal information a bot can reach.
6. Review your bot-detection providers
   Understand what information a security service collects, where it is processed, how long it is retained, whether it is shared with other parties, and whether the provider uses the data for its own purposes. Select providers that clearly separate bot-detection attempts from personal data collection for unrelated purposes.
7. Review data your bot-detection cookies or technologies collect
   Determine which technologies are strictly necessary and which require consent. Do not assume that every security-related cookie doesn’t require cookie consent. If, besides bot-detection functions, cookies also collect personal identifiers, such cookies do need consent.
8. Prepare for bot-related data breaches
   Even if you implement adequate security measures, bot-related data breaches may still happen. Thus, implement a data breach response plan: set a procedure to identify which records were accessed, which individuals may be affected, when the incident occurred, and how to mitigate its impact. GDPR also requires controllers to document personal data breaches.
9. Respect user rights
   Ultimately, GDPR compliance is as important as website protection from bots. Thus, implement proportionate security controls that detect malicious automated traffic while respecting user privacy.

Use a Consent Management Platform (CMP) to detect website trackers, bot-detection cookies, deliver cookie banners, and obtain user consent that is needed for personal data protection.

CookieScript CMP is one of the best choices on the market. It delivers the right balance of compliance, affordability, and ease of use. You’ll get a fully compliant consent management tool for as little as €8 per month/ per domain for basic features or for €19 per month/ per domain for full compliance with European and global data privacy frameworks.

Frequently Asked Questions

Does GDPR apply to bots?

Bots do not have privacy rights, so GDPR doesn’t directly apply to bots. However, GDPR applies when bots collect, access, process, or expose personal data relating to identifiable individuals. That can include names, email addresses, account details, IP addresses, cookie identifiers, and other information linked to identifiable individuals.

Should businesses reveal their bot-detection tools in their documentation?

If bot detection involves personal data, it should be described in the Privacy Policy or in the Record of Processing Activities, where Article 30(5) applies. Article 30(5) exempts organizations with fewer than 250 employees. The documentation should provide enough detail about the data processing and offer a possibility to opt out of the processing.

Is a DPIA required for bot-detection tools?

Not always- it depends on a bot-detection tool’s processing activities. A DPIA could be necessary if the tool involves large-scale systematic monitoring, extensive profiling or fingerprinting, combining multiple datasets, sensitive data, or automated decisions that significantly affect users. For a limited bot-detection system using minimal security data with low privacy risk, a DPIA may not be required.

Is a bot attack a personal data breach?

It depends on the impact of a bot attack. A bot attack is not automatically a personal data breach. However, if the bot attack involves unlawful destruction, loss, alteration, unauthorized disclosure of, or access to personal data, it becomes a personal data breach.

Does GDPR regulate bot traffic?

GDPR does not regulate bot traffic simply because it is automated traffic. However, GDPR becomes relevant when bot activity involves personal data; for example, when bots scrape personal information, access user accounts, collect IP addresses or identifiers, or cause a personal data breach.