How to Prevent Bot Attacks: 8 Proven Methods to Protect Your Website (2026 Guide)

According to the 2026 Imperva Bad Bot Report, automated bots accounted for more than 53% of all web traffic in 2025. The report also found that bots are the reason behind 27% of API and 53% Account Takeover Fraud.

Currently, identifying bots is getting tougher. Businesses cannot rely on traditional methods. Here in this guide, we have shared information about Bot Attacks and how to prevent bot attack.

What is a Bot Attack?

Bot attacks occur when a cyberattacker uses automated software programs (bots) to send multiple requests to a website, app, or online services. These bots interact with the platform just like humans, but their main purpose is to steal data, account takeovers, reduce website speed, and disrupt business operations.

How to Prevent Bot Attacks?

If you want to prevent bot attacks, you should follow the methods below:

Deploy a Web Application Firewall (WAF)

A Web Application Firewall (WAF) filters incoming traffic and blocks suspicious requests before they reach the application. Modern WAFs can detect bots, which makes them a reliable solution for preventing bot attacks.

Benefits

Blocks known malicious IPs and botnets immediately.

Detect anomalous request pattern (e.g., 500 login attempts in 60 seconds).

Gives geo-based access control.

Protect the API from injection and scraping attacks.

Use Rate Limiting

Rate limiting is a must to implement. It limits the number of users or IP address can be made within a specific time period. It helps prevent bot attack from login pages, APIs, and forms.

Benefits

Prevents brute force attacks on login endpoints

Protection against API Scraping at scale

Apply CAPTCHA for High-Risk Actions

Use CAPTCHA or similar verification methods during account creation, login, and checkout. It helps in identifying genuine human users or automated bots. 

Benefits

Adds a verification checkpoint at login, registration, and checkout.

Invisible CAPTCHA variants (e.g., reCAPTCHA) assign a risk score without interrupting legitimate users.

Low implementation cost.

Implement Device and Browser Fingerprinting

Browser fingerprinting helps browser and device characteristics to detect suspicious and automated traffic.

Benefits

Identifies the same bot returning with a different IP

Detects headless browsers and automation frameworks

Identify and flag the difference between browser versions and JavaScript behaviour

Enable Multi-Factor Authentication (MFA)

Multi-Factor authentication prevents a business from all types of attacks. It adds an extra layer of security and helps verify the identity through an additional authentication factor. It reduces the risk of account takeover attacks.

Benefits

Prevents account takeover even when a bot successfully verifies a stolen username and password pair

Push-based MFA and passkeys offer strong protection with minimal user friction

Filter Suspicious IP Address

Block and challenge requests coming from known malicious IP addresses, proxy servers, VPNs, or data centers.

Benefits

Helps identify Tor exit nodes and open proxies used to anonymize bot traffic

Blocks suspicious IP data centers

Manage AI Crawlers and Web Scrapers

Create clear policies for AI crawlers and automated scraping tools. Only allow trusted crawlers when necessary and stop any unauthorized or suspicious data scraping.

Benefits

A well-structured robots.txt defines crawl boundaries for known, legitimate bots like Googlebot and Bingbot

Throttling unverified crawlers protects server performance and reduces unauthorized data collection

Use Honeypots

Integrate honeypot fields or links that are invisible for the human but visible to bots. Bot interactions with these pots help in identifying automated traffic.

Benefits

Honeypot links in page markup identify automated crawlers

Low implementation cost with a high detection signal

Integrate DeepID SDK to Prevent Bot Attack

Modern Bot Attacks have developed from the normal automated scripts. They can now mimic human behaviour, bypass security layers, and target critical workflows like login, signup, payments, and APIs. Rate limiting, IP block, and MFA are effective, but not fully reliable.

DeepID SDK helps businesses identify automated traffic and block on time. It analyses multiple risk signals, including device behaviour, session patterns, and unusual interaction behaviour. It helps differentiate and find actual humans and bots. In simple words, it is an effective solution to prevent bot attack.

Integrating DeepIDSDK into the organization's system helps the organization reduce account takeover, fake registration, credential stuffing, and API abuse. The SDK is designed for smooth integration across web and mobile applications.

FAQs

Ques: What is the meaning of a bot attack?

Ans: Bot attack is a type of cyberattack in which the fraduster use autometed software to send a large number of requests to the website, application, or other online platform. Their main aim is to steal information and gain access to the account.

Ques: Are bot attacks illegal?

Ans: Yes, bot attacks are illegal when they are used to execute malicious activities such as unauthorized access, fraud, or international network disruption.

Ques: What are the signs of a bot attack?

Ans: The signs of bot attacks are:

Sudden increase in website traffic and login attempts

Unusual user behaviour

Getting a large number of requests from the same IP

Fake Account Registrations

Increased Server Load

Abandoned Shopping Cards

Spam messages and comments

Unusual Geographic Traffic Patterns

Frequent CAPTCHA Triggers

Ques: How to stop a bot attack on a website?

Ans: A bot attack can be prevented using several methods:

Multi-Factor Authentication

Deploy WAF (Web Application Firewall)

Apply CAPTCHA

Browser Fingerprinting

Using Honeypots

Rate Limiting

Suspicious IP Address Detection

Manage AI Crawlers and Web Scrapers