How to Bypass AI Bot Detectors for Automating Facebook, Instagram, and TikTok

Platforms like Facebook, Instagram, and TikTok use complex machine learning algorithms to detect automated actions. If you work with multiple accounts for traffic arbitrage, SMM, or e-commerce, you have likely encountered blocks even when using anti-detect browsers. The problem is that modern AI detectors analyze not only the technical parameters of the browser but also behavioral patterns — action speed, mouse movement trajectory, pauses between clicks.

In this guide, we will explore specific automation masking techniques that work in 2024. You will learn how to set up anti-detect browsers (Dolphin Anty, AdsPower, Multilogin), which proxies to use, and how to imitate human behavior so that AI systems do not recognize a bot.

How AI Detectors Recognize Automation

Modern platforms use a multi-layered bot detection system that analyzes hundreds of parameters simultaneously. Understanding how these systems work is critically important for successful masking.

Three Levels of Bot Detection

Level 1: Technical Fingerprint. Platforms collect data about the browser, operating system, screen resolution, time zone, language, installed fonts, WebGL, Canvas, AudioContext, and other parameters. If this data does not match the real device or contains anomalies (for example, Linux with a Windows User-Agent), the system records suspicious activity.

Level 2: Network Analysis. AI checks the IP address, its reputation, compliance with the geolocation stated in the profile, and connection stability. If you log in from a data center IP, frequently change IPs, or use one IP for multiple accounts — this is a red flag. This is especially critical for Facebook Ads and TikTok Ads, where security systems are the strictest.

Level 3: Behavioral Analysis. The most challenging level to bypass. Machine learning analyzes behavioral patterns: page scrolling speed, mouse movement trajectory, time between actions, click sequences, pauses while typing. A human never moves the mouse in a perfectly straight line and does not click at exactly 2-second intervals — but bots often do just that.

What Parameters AI Detectors Monitor

For successful masking, you need to operate on all four levels simultaneously. It is not enough to just use a good anti-detect browser — you also need to configure proxies correctly, imitate human behavior, and avoid common mistakes.

Masking the Browser's Digital Fingerprint

A digital fingerprint is a unique combination of technical parameters of your browser that allows identifying the device even without cookies. Platforms use fingerprinting to link accounts and detect multi-accounting.

Key Components of Fingerprint

Canvas Fingerprint. The browser draws an invisible image using HTML5 Canvas, and the result depends on the graphics card, drivers, and operating system. Two different devices will yield different results. Anti-detect browsers add random noise to the Canvas to ensure each profile has a unique fingerprint. In Dolphin Anty, this feature is called "Canvas Noise," in AdsPower — "Canvas Defender."

WebGL Fingerprint. Similar to Canvas, but uses 3D graphics. Rendering parameters depend on the graphics card. It is important that the WebGL fingerprint matches the operating system stated in the User-Agent. For example, if you emulate Windows but WebGL shows macOS parameters — this will instantly raise suspicion.

AudioContext. A lesser-known but important parameter. The browser generates a sound signal, and its characteristics depend on the sound card. Modern anti-detect browsers can substitute the AudioContext fingerprint.

Fonts. The list of installed fonts is unique to each device. If you emulate Windows but the system has only the default fonts of Linux — this is an anomaly. Quality anti-detect browsers substitute the font list based on the selected OS.

Configuring Fingerprint in Anti-Detect Browsers

Step 1: Creating a Profile. When creating a new profile in Dolphin Anty, AdsPower, or Multilogin, choose a real device configuration. Do not use exotic combinations like "Linux + Safari" or "Windows XP + Chrome 120". The safest options are:

• Windows 10/11 + Chrome (the most common combination)
• macOS + Safari or Chrome (for premium accounts)
• Android + Chrome Mobile (for mobile Instagram/TikTok accounts)

Step 2: Configuring Canvas and WebGL. Enable the "Noise" or "Randomize" option for Canvas and WebGL. This will add random distortions, making each profile unique. In Dolphin Anty: go to profile settings → "Fingerprint" tab → enable "Canvas Noise" and "WebGL Noise".

Step 3: Checking Parameter Compatibility. Use fingerprint checking services (Pixelscan, BrowserLeaks, CreepJS). Ensure that all parameters are consistent: User-Agent matches WebGL, time zone matches the geolocation of the IP address, and browser languages are logical for the region.

Imitating Human Behavior

The technical fingerprint can be faked relatively easily using an anti-detect browser. But behavioral patterns are where most arbitrage specialists and SMM professionals make mistakes. AI systems are trained to recognize robotic behavior, and even a perfect technical setup will not save you if you act like a bot.

Mouse Movements and Clicks

A human moves the mouse in curved trajectories at varying speeds, makes micro-pauses, and sometimes misses the button. Bots usually move the cursor in a straight line at a constant speed and click precisely in the center of the element.

How to Imitate Human Movements:

• Add random Bezier curves to the mouse trajectory
• Vary the speed of movement (acceleration and deceleration)
• Occasionally miss and make corrective movements
• Do not always click in the center of the button — shift the click point
• Add pauses before clicking (200-800 ms)

If you are using automation through browser extensions or scripts, be sure to integrate libraries that imitate human behavior. For JavaScript, there is the ghost-cursor library; for Python with Selenium — humanize or pyautogui with the duration parameter.

Timings and Pauses Between Actions

One of the most common mistakes is fixed intervals between actions. For example, liking posts every 5 seconds or sending messages every 10 seconds. A human does not behave this way — they read content, get distracted, and take pauses of varying lengths.

Correct Timing Strategy:

• Use random intervals with a normal distribution (for example, 3-15 seconds with an average of 7)
• Add long pauses (30-120 seconds) every 10-20 actions, simulating content reading
• Vary the page scrolling speed — sometimes fast, sometimes slow with stops
• Imitate "human" errors — sometimes scroll back as if reviewing something

Activity Patterns

AI analyzes not only individual actions but also overall activity patterns. If an account operates 24/7 without breaks or performs the same actions at the same time every day — this is suspicious.

Creating a Natural Schedule:

• Work during "human" hours — from 8:00 AM to 11:00 PM local time of the account
• Take breaks for "lunch" and "sleep"
• Vary the start and end times of work each day (±1-2 hours)
• Reduce activity on weekends or, conversely, increase it — depending on the account's legend
• For new accounts, start with low activity and gradually increase (warming up)

Choosing and Setting Up Proxies Correctly

Proxies are a critically important element of automation masking. Even if you have perfectly configured your fingerprint and behavior, the wrong choice of proxy will lead to blocks. Platforms analyze the reputation of the IP, its type, connection stability, and compliance with geolocation.

What Type of Proxy to Choose

For traffic arbitrage and SMM: use residential or mobile proxies. Data centers are too risky for Facebook Ads, Instagram, and TikTok — these platforms instantly recognize data center IPs and apply stricter checks.

For parsing and low-risk automation: quality data center proxies can be used, but with rotation and request limits.

Configuring Proxies in Anti-Detect Browsers

Step 1: Adding Proxies to the Profile. In Dolphin Anty, open profile settings → "Proxy" tab → choose the type (HTTP/HTTPS/SOCKS5). For most tasks, SOCKS5 is recommended as it supports all types of traffic and is more stable.

Step 2: Checking Geolocation Compliance. Ensure that the time zone in the browser settings matches the geolocation of the proxy's IP address. If the proxy is from New York, set the timezone to "America/New_York". Mismatched timezone and IP is a common reason for blocks.

Step 3: Checking for WebRTC Leaks. WebRTC can reveal your real IP even when using a proxy. In the anti-detect browser settings, enable the "Block WebRTC" or "Substitute WebRTC IP" option. Check on BrowserLeaks that WebRTC shows the proxy IP, not your real one.

Step 4: DNS Settings. Use DNS that corresponds to the region of the proxy. If the proxy is from Germany, but DNS shows Google Public DNS (8.8.8.8), this is a mismatch. Some anti-detect browsers automatically substitute DNS based on the proxy's region.

Proxy Usage Strategy for Multi-Accounting

The "one IP — one account" rule. Never use one IP for multiple accounts simultaneously. This is the fastest way to get a chain ban (linking and blocking all accounts). Even if the accounts are in different niches — platforms see the connection through the IP.

IP Stability. For warmed-up accounts with history, use static residential proxies. Frequent IP changes raise suspicion. For new accounts during warming up, rotation can be used, but with intervals no more frequent than once every 24 hours.

Geographical Logic. If you created an account with an IP from London, do not abruptly change the geolocation to Tokyo. If you need to change the region — do it gradually (London → Paris → Berlin) with pauses of several days.

Configuring Anti-Detect Browsers for Masking

Anti-detect browsers are the main tool for working with multiple accounts. But their effectiveness depends on proper configuration. Many users use default settings that are easily recognized by AI detectors.

Dolphin Anty: Optimal Configuration

Dolphin Anty is a popular choice among arbitrage specialists due to its balance of functionality and price. Here is a checklist of settings for maximum masking:

• Fingerprint: enable "Real fingerprint" instead of "Noise" for premium accounts — this uses real device fingerprints
• Canvas: "Noise" mode with level 2-3 (not maximum to avoid artifacts)
• WebGL: "Noise" mode + choose a graphics card that matches the OS (NVIDIA/AMD for Windows, Intel for macOS)
• Fonts: use a font set that corresponds to the OS (do not leave the default list)
• Geolocation: allow access to geolocation and set coordinates corresponding to the city of the IP address
• Language: set browser languages that correspond to the region (for the USA: en-US, for Germany: de-DE,en-US)
• Do Not Track: turn off (enabled DNT is a sign of a cautious user, which can be suspicious)

AdsPower: Settings for Facebook Ads

AdsPower is often used for working with Facebook and TikTok ad accounts. Configuration features:

• Browser core: use the latest version of Chromium (not Mimic — it is outdated)
• User-Agent: select the current version of Chrome for the OS (check for updates every month)
• Screen resolution: use popular resolutions (1920x1080, 1366x768, 1440x900) — exotic resolutions attract attention
• Hardware: set a realistic number of CPU cores (4-8 for desktops, 4-6 for laptops)
• Media devices: enable a virtual webcam and microphone (their absence is suspicious)
• Battery: for laptops, enable battery emulation at 60-90% level

Multilogin and GoLogin: Advanced Features

Multilogin is a premium solution with its own browser cores (Mimic based on Chromium and Stealthfox based on Firefox). The advantage is deeper parameter substitution at the browser core level. GoLogin is a more affordable alternative with similar functionality.

Configuration Features:

• Use the "Quick profile" feature for automatic creation of a consistent fingerprint
• Enable "Advanced fingerprint settings" for fine-tuning parameters
• For Facebook Ads, use Mimic; for Google Ads — Stealthfox (Firefox has fewer detection issues in Google)
• Regularly update browser core versions (every 2-4 weeks)

Safe Automation Tools

Choosing the right automation tool is critically important. Many popular solutions use outdated methods that are easily recognized by modern AI detectors. It is essential to use tools that imitate human behavior at all levels.

Automation for SMM and Arbitrage

Jarvee (for Instagram, old school). A popular tool in the past, but by 2024, it is already outdated. Instagram has significantly improved detection of Jarvee. If you still use it — definitely with residential proxies, minimal action speed (no more than 20-30 actions per hour), and long pauses.

Tools within anti-detect browsers. Dolphin Anty and AdsPower have built-in automation capabilities through extensions and APIs. The advantage is that actions are performed within a full-fledged browser with the correct fingerprint. You can use extensions like iMacros or write your own scripts using Puppeteer/Playwright.

Specialized services. For mass posting on Instagram and TikTok, there are services like Later, Buffer, Hootsuite. They work through official APIs, which is safer than direct automation. The downside is limited functionality (you cannot automate likes, follows, comments).

Automation via Selenium and Puppeteer

For those writing their own automation scripts, it is important to use the right libraries and masking techniques.

The problem with standard Selenium: it is easily detected through the navigator.webdriver property, which equals true when using WebDriver. Selenium also leaves characteristic artifacts in the DOM and window objects.

Solution — Undetected ChromeDriver: a library for Python that patches ChromeDriver, hiding signs of automation. It automatically bypasses most simple WebDriver checks.

For Node.js — Puppeteer Stealth: a plugin for Puppeteer that applies dozens of patches to mask automation. It hides the webdriver, substitutes navigator parameters, and emulates Chrome plugins.

Playwright: a modern alternative to Selenium from Microsoft. It has built-in capabilities for bypassing detection and supports all browsers (Chromium, Firefox, WebKit). Recommended for new projects.

Integration with Anti-Detect Browsers via API

Most anti-detect browsers provide APIs for managing profiles and automation. This allows you to launch profiles programmatically and manage them through Selenium/Puppeteer.

Dolphin Anty API: allows you to create profiles, launch them, and obtain a port for connecting Selenium. After launching a profile via the API, you receive a debugging port that can be connected using Selenium or Puppeteer.

AdsPower API: similar functionality. You can automate profile creation, proxy assignment, and browser launches. Convenient for scaling — you can programmatically manage hundreds of profiles.

The advantage of this approach is that you gain full control over automation while using the fingerprint and masking of the anti-detect browser. This is the safest way to automate complex tasks.

Common Mistakes That Reveal Bots

Even with the correct configuration of technical parameters, many users make mistakes that instantly reveal automation. Here are the most critical ones.

Mistake 1: Identical Actions on All Accounts

If you manage 20 Instagram accounts and they all perform the same sequence of actions (logged in → 10 likes → 5 follows → logged out), AI easily recognizes the pattern. Even if you use different proxies and fingerprints, the behavioral pattern links the accounts.

Solution: create diversity in actions. One account starts by viewing Stories, another by reading Direct, the third by scrolling the feed. Vary the number of actions, their sequence, and execution time.

Mistake 2: Ignoring Account Warming

A new account that immediately starts working actively (50+ actions per day, creating ad campaigns, mass follows) raises suspicion. Real users gradually increase their activity.

Solution: warm up new accounts for at least 7-14 days. In the first days — minimal activity (viewing content, rare likes). Gradually increase the number of actions. For Facebook Ads — first fill out the profile, add friends, like a few public pages, and only then create the ad account.

Mistake 3: Using One Proxy for Different Platforms

If you use one IP to log into Facebook, Instagram, TikTok, and Google Ads simultaneously, this creates a connection between accounts on different platforms. Large companies share data about suspicious IPs.

Solution: use separate proxies for each platform. If you are working with Facebook and Instagram for the same project — you can use one IP (they belong to Meta). But for TikTok, Google Ads, Twitter — use separate IPs.

Mistake 4: Lack of "Human" Errors

Bots operate perfectly — they never make mistakes, typos, or miss the button. But real people make mistakes all the time.

Solution: add random "errors" to automation. Occasionally miss the button and make a repeat click. When typing, make typos and correct them (backspace + correct letter). Sometimes scroll the page too far and go back.

Mistake 5: Ignoring Cookies and Browser History

A new browser profile without cookies, browsing history, or bookmarks looks suspicious. A real browser always has a history.

Solution: before starting work with the target platform, "warm up" the browser profile. Visit several popular sites (Google, YouTube, news portals), make a few search queries, and add bookmarks. This will create a natural browser history.

Mistake 6: Working Through VPN Instead of Proxies

VPN services (NordVPN, ExpressVPN, and similar) use IP addresses that are listed in public VPN databases. Platforms easily recognize them and apply additional checks.

Solution: use quality private proxies instead of public VPNs. Residential proxies have a clean reputation and are not listed in VPN provider databases.

Conclusion

Masking automation from AI detectors is a complex task that requires attention to detail at all levels: technical fingerprint, network infrastructure, behavioral patterns. Modern machine learning systems of Facebook, Instagram, TikTok, and other platforms are constantly improving, so masking methods need to be regularly updated.

Key principles for successful masking: using quality anti-detect browsers (Dolphin Anty, AdsPower, Multilogin) with the correct fingerprint configuration, applying reliable residential or mobile proxies with geolocation compliance, imitating natural human behavior with variability in actions and timings, gradually warming up new accounts, and avoiding common mistakes that reveal automation.

Remember that there is no universal solution that guarantees 100% protection from blocks. Success depends on a combination of the right tools, proper configuration, and constant monitoring of effectiveness. Test different approaches, analyze results, and adapt your strategy to changes in platform algorithms.

If you are working with Facebook Ads, Instagram, TikTok, or other platforms with strict anti-fraud systems, we recommend using mobile proxies — they provide the highest level of trust due to IPs from mobile operators and significantly reduce the risk of blocks during automation.