CrossClassify – AI‑Powered Bot Attack Protection

Eliminate bot abuse with behavioral fingerprinting intelligence

Detect suspicious automation, stop fake traffic, and reduce abuse at scale

See it in action

How it works

Protect Your Platform from Account Takeover

Solution

BOT issues we resolve

The main bot-related issues that CrossClassify’s Bot Attack Protection resolves,

Book a Demo

Prevent Carding Bot Attacks

Protect your payment gateway from carding fraud bots using real-time bot detection and automated risk scoring to block high-velocity stolen card testing.

Stop Web Scraping Bots

Defend your platform against unauthorized data scraping bots with AI-powered bot protection, preserving your competitive pricing and user privacy.

Mitigate DDoS Bot Attacks

Shield your infrastructure from automated DDoS botnets that overwhelm services, using bot fingerprinting and behavioral analysis to ensure uptime.

Block Click & Ad Fraud

Detect and eliminate ad fraud bots and click farms that drain ad budgets with advanced traffic analysis and fake click prevention tools.

Detect API Bot Abuse

Prevent API abuse from bots exploiting your endpoints through automated rate limiting, token validation, and bot behavior profiling.

Technologies

Our Approach to Bot Attack

We use the latest industry-level technologies to monitor and detect abnormal activities to prevent bot attacks.

Continuous Monitoring for Bot and Abuse Fraud

Detect automated bot attacks and malicious automation in real time across your application stack. Our platform continuously monitors user behavior to flag suspicious spikes in bot traffic, high-frequency requests, or anomalies typical of bot abuse patterns. Whether it's credential stuffing, fake clicks, or bot-based scraping, CrossClassify ensures early-stage detection.

Behavior Analysis for Identifying Malicious Bots

Our system uses advanced behavior analysis to distinguish between genuine users and bots mimicking human interactions. We detect subtle inconsistencies in mouse movement, scrolling, typing cadence, and page interaction, often missed by traditional bot protection platforms. This helps uncover fake account creation and bot-driven abuse.

Geo Analysis of Suspicious Bot Activity

Bots often operate from non-human geolocations, like cloud servers or proxy farms. CrossClassify’s geo analysis engine identifies and scores unusual access patterns, regional anomalies, and known botnet IP clusters. We help you block fraudulent bot access before it reaches your infrastructure.

Link Analysis for Coordinated Botnet Detection

Bot farms and fake accounts rarely act in isolation. Our link analysis tracks connections between accounts, devices, and traffic origins to expose coordinated bot abuse campaign s and fake engagement schemes. We stop multi-vector attacks that manipulate trust signals and session behaviors.

Enhanced Security and Accuracy in Bot Protection

By combining device fingerprinting, velocity checks, and ML-driven bot detection, CrossClassify delivers precise identification of bot fraud without false positives. You get accurate bot detection with minimal friction to users. Protect your platform from credential stuffing bots, inventory scalping, and more.

Seamless Integration with Anti-Bot Systems

CrossClassify plugs into your current stack with minimal dev effort, enabling bot and abuse detection across login, sign-up, and transaction endpoints. Deploy our bot prevention engine via REST APIs, SDKs, or cloud connectors within minutes.

Alerting and Notification for Bot Abuse Events

Stay ahead of evolving bot abuse attacks with real-time alerts. CrossClassify instantly notifies your fraud or security teams of suspicious bot behavior, unauthorized automation, and abuse attempts. Customize escalation rules for instant or batch alerting based on risk score thresholds.

Blog

Latest from Cross Classify

Application security manager

Application security manager: How AI changed the game

The average cost of a data breach in 2024 has spiked to $6.5 million per incident, a 150% increase on 2020. Astonishingly, around 50% of these attacks are estimated to have been either AI generated or developed.

22 May 2024

Emily’s Nightmare: New Account Fraud

Imagine waking up to a series of alerts from your bank, thanking you for opening new accounts you never applied for. This was the reality for Martin, a regular guy who suddenly found himself in the middle of identity theft and new account fraud.

16 Feb 2024

How to prevent fake account creation

How to prevent fake account creation while running a growth marketing campaign

Imagine a big promotion by a popular online business, e.g. a retailer or a fintech app, offering exclusive discounts to attract new customers.

25 Jan 2024

Frequently asked questions

A bot and abuse fraud detection system identifies automated attacks such as credential stuffing, fake account creation, click fraud, scraping, and session abuse. CrossClassify uses device fingerprinting, behavior analysis, velocity monitoring, and link analysis to detect harmful bot traffic and coordinated abuse patterns in real‑time.
Read more

Credential stuffing bots systematically try stolen credentials to take over accounts. CrossClassify’s continuous monitoring and behavior analysis engine flags anomalies in login velocity, location, device consistency, and interaction patterns to prevent bot‑driven account takeover attempts.
Read more

Yes. Fake account creation bots often originate from proxy servers or data‑center IPs and exhibit automated patterns. CrossClassify combines geo‑analysis, device fingerprinting, and link analysis to detect clusters of coordinated sign‑ups and bot farm activity.
Read more

Behavioral biometrics analyze mouse movement, typing cadence, scrolling speed, and interaction timing to differentiate humans from bots mimicking human behavior. CrossClassify’s behavior analysis layer learns legitimate user patterns and flags suspicious automation attempts.
Read more

Botnets involve coordinated activity from many devices or accounts. CrossClassify’s link analysis maps connections between accounts, IPs, and devices to uncover bot networks and coordinated sessions for fake engagement or scraping.
Read more

Real-time monitoring tracks traffic spikes, unusual request velocity, and sudden behavioral shifts to catch automated bot attacks early. CrossClassify delivers continuous adaptive risk and trust assessment to detect bot traffic and abuse patterns instantly.
Read more

Yes. Many security platforms misclassify legitimate users as bots. CrossClassify integrates multi-signal risk assessment, including device fingerprinting, behavioral and geo analysis, to achieve high bot detection accuracy with minimal friction.
Read more

CrossClassify integrates seamlessly via SDKs and APIs into sign-up, login, and transaction flows to detect bot and abuse fraud in critical touchpoints. Our platform can be deployed quickly across frontend and backend layers
Read more

CrossClassify supports customizable alerting based on risk thresholds, providing real-time or batch notifications about suspicious bot abuse, fake account activity, or credential stuffing attempts. Alerts can be routed via email, webhook, or dashboard.
Read more

While many platforms rely on CAPTCHAs or static rules, CrossClassify combines behavior analysis, device fingerprinting, link analysis, and machine learning for dynamic, multi-layered detection, catching advanced AI-powered bots, bot farms, and abuse campaigns with higher accuracy.
Read more

Let’s Get Started

Discover how to secure your app against fraud using CrossClassify

See it in action

Book a Demo

No credit card required

Frequently asked questions

What is a bot and abuse fraud detection solution?

How do you stop credential stuffing bots and account takeovers?

Can CrossClassify detect fake account creation and bot farm attacks?

How does behavioral biometrics help with bot abuse detection?

How do you identify bot network or botnet attacks?

What is real-time bot traffic monitoring and why is it important?

Can CrossClassify reduce false positives while detecting bot fraud?

Does CrossClassify support login and sign-up bot protection integration?

How are team alerting and notifications handled for bot attacks?

How is CrossClassify different from other bot protection platforms?