Best Bot Detection and Mitigation Software - Page 8

How Many Bot Detection and Mitigation Software Products Does G2 Track?

Total Products under this Category: 120

Category Stats (Oct 2026)

  • Average Rating: 4.55/5 (↑0.01 vs Sep 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Arcjet (+0.54%) - Among all products in this category, Arcjet recorded the largest rating increase compared to last month

Last updated: October 25, 2026

How Does G2 Rank Bot Detection and Mitigation Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 4,300+ Authentic Reviews
  • 120+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Bot Detection and Mitigation Software

G2 Grid® for Bot Detection and Mitigation Software plotting products by satisfaction and market presence

Highlighted products: Cloudflare Application Security and Performance, HUMAN Sightline Cyberfraud Defense, Fingerprint, DataDome, Google Cloud reCAPTCHA Enterprise, Appdome, Azion, and Akamai Bot Manager.

Underlying data: [Grid® JSON](https://www.g2.com/categories/bot-detection-and-mitigation/grids.json?focus%5B%5D=cloudflare-application-security-and-performance&focus%5B%5D=human-sightline-cyberfraud-defense&focus%5B%5D=fingerprintjs-fingerprint&focus%5B%5D=datadome&focus%5B%5D=google-cloud-recaptcha-enterprise&focus%5B%5D=appdome&focus%5B%5D=azion&focus%5B%5D=akamai-bot-manager)

SafeClick

SafeClick analyzes visitors in real time to catch bots, fraud, and suspicious traffic before they cost you.

Who Is the Company Behind SafeClick?

  • Seller: FraudScore
  • Year Founded: 2016
  • HQ Location: Nicosia, CY
  • Twitter: @FraudscoreAi
    72 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    10 employees on LinkedIn®

ShieldLabs

ShieldLabs is fraud detection and prevention with enterprise-level functionality and no enterprise pricing. Detect risky users and bots under any masking, stop multi-accounting, account sharing and takeovers, and score your traffic quality. Key Capabilities - Visitor Identification: Recognises returning visitors across separate sessions, after cleared cookies, in incognito mode and through IP address changes, over long periods of time. - User Identification: Detects linked users with different email addresses. - Network and Device Intelligence: More than 300 signals are collected together and cross-checked against each other to expose deep masking, identify returning visitors and detect risk signals. - Risk Signal Detection: VPN detection, proxy detection, Tor detection, Apple Private Relay detection, datacenter IP detection, IP reputation, anti-detect browser detection, browser automation detection, operating system tampering, incognito mode and geolocation spoofing. - Bot and AI Traffic Detection: Identifies bots, automated traffic and AI agents, and separates bad bots from good ones. - Risk Scoring: Scores risk from 0 to 100 and classifies traffic as trusted, suspicious or dangerous. - High-Risk Event Detection: Detects multi-accounting, account sharing, impossible travel and account takeover out of the box. - Risk Analytics: A single traffic quality score plus a score for every source, channel, referrer and UTM campaign, with analytics across visitors, users and devices. - AI Traffic and Fraud Copilot: A layer that turns collected data into summaries, investigations, direct answers and ready-to-run actions, adapted to the customer's type of business. Use Cases: Protect - New-account fraud: fraudulent signups at registration. - Multi-accounting: one person running many accounts to farm a benefit. - Account takeover: someone else logging into a real user's account. - Payment fraud: high-risk and fraudulent transactions at checkout. - Ad fraud: paid traffic that does not match what was paid for. - Affiliate fraud: partners driving fake or incentivised traffic and signups to earn commission. - Bonus abuse: signup bonuses claimed repeatedly by the same person. - Promo abuse: discount codes redeemed far beyond intent. - Referral fraud: self-referrals and fake invitees. - Free-trial abuse: endless new trials from the same person. - Loyalty fraud: points and rewards farmed illegitimately. - Ban evasion: banned users returning under new identities. - Sybil attacks: many fake identities used to sway a system, common in crypto and Web3. - Impossible travel: the same account or device appearing in places too far apart for the time between the visits. - Location spoofing: faked geography to reach restricted content or pricing. Use Cases: Grow - Returning visitor recognition: the same capability pointed the other way, identifying a good returning customer without asking them to prove who they are again. - Account sharing: one subscription used by many people, turned into an upgrade conversation instead of a loss. - Paywall bypass: readers consuming paid content without paying, converted into subscribers. - Traffic quality: seeing which acquisition channels deliver real people, so budget moves to the sources that convert. Who It Is For Built for AI, iGaming, cryptocurrency and Web3, SaaS, fintech, e-commerce, travel, marketplaces, media and streaming, ticketing, and gaming. Enterprise-level functionality without enterprise pricing, for platforms of any size: a ready-made solution that takes five minutes to integrate, with no call with a sales team. It fits developers, analysts, marketers, growth, product, risk and support teams, and founders running all of it themselves. Integrations Integration takes five minutes. - Client SDKs: JavaScript, React, Next.js, Vue, Angular, Svelte, Preact, WordPress, Shopify, Tilda. - Server SDKs: Node.js, Python, Go, PHP, Java, .NET. A public API and webhooks sit underneath, so ShieldLabs connects from any language. An OpenAPI specification is published for everything else. Pricing Self-serve and flat-rate, with a price that drops as traffic grows, no sales call and no annual contract. The free plan gives 5,000 identifications. Paid plans are Starter at $99 per month for 25,000 identifications, Growth at $399 per month for 150,000, and Scale at $999 per month for 500,000, with up to 20% off on annual billing. Effective cost falls from $0.00396 to $0.00199 per identification as volume grows. The API, webhooks, and chat and email support are included on every plan, including the free one.

Who Is the Company Behind ShieldLabs?

  • Seller: ShieldLabs
  • Year Founded: 2026
  • HQ Location: Sheridan, Wyoming, United States
  • Twitter: @Shieldlabs_ai
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

SignalGate

SignalGate is a real-time fraud and bot detection API for web applications. It is built for teams that operate online funnels — e-commerce, payments, marketplaces, and subscription products — where fraud, fake accounts, and automated traffic reduce revenue, and where over-blocking adds friction that costs legitimate conversions. At each high-stakes step in a funnel, a lightweight browser SDK reads device and behavioral signals and encrypts them in the browser. SignalGate evaluates them and returns a verdict for that request: allow, alert, or block. Real users pass through without added friction, while invalid traffic, fake accounts, and automated abuse are caught and blocked at that step. The intended outcome is measurable conversion lift alongside fraud reduction — more completed signups and checkouts, lower verification and support spend, and cleaner funnel data. Teams add SignalGate where conversion and cost matter most: - Checkout and payment — reduce payment fraud and false declines at the highest-value step. - Signup and account creation — block fake and duplicate accounts without deterring real ones. - OTP and SMS verification — stop bot-driven verification requests and the fees they generate. - Free-trial and subscription activation — keep trial starts genuine. - Promo, referral, and bonus claims — limit abuse while real customers redeem. - Login and password reset — reduce lockouts and friction for genuine users. The platform is configurable per use case. You can set up detection workflows tuned for depth, which surface complex or subtle patterns across many signals, and lighter workflows that run quickly against common fraud patterns. Running both together lets you respond immediately to straightforward abuse while continuing to detect more sophisticated patterns as they emerge. A built-in dashboard provides time-series graphs of traffic, verdicts, and outcomes for each protected step. It lets you review the conversion associated with a given pipeline and the projected effect of blocking invalid traffic, so the conversion impact of each workflow is measurable rather than assumed. Verdicts return in milliseconds and integrate into existing flows with minimal setup, so protection stays in the background for legitimate users.

Who Is the Company Behind SignalGate?

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How it works

SpamShield

SpamShield is a Shopify-native contact-form spam filter that blocks fake inquiries, bot sign-ups, and SEO/agency pitch spam before they reach your inbox — with no CAPTCHA and zero friction for real customers. Built by JMS Dev Lab, it inspects every submission across four layers — sender/IP reputation, submission timing, content patterns, and an AI content classifier — and silently rejects the bad ones, so genuine enquiries get through and the junk doesn't. Every blocked message is logged with a reason and recoverable with one-click whitelisting, so you stay in control. Installs from the Shopify App Store in minutes, free to start, with honest, transparent billing.

Who Is the Company Behind SpamShield?

ThreatSTOP Managed Rules - New and Active Malicious Bots for AWS WAF

New and Active Bots identifies and blocks the attacker infrastructure hosting and controlling malicious Bots like Crawlers and Spiders that target your exposed services. The rules are dynamically updated using leading intelligence sources that have been curated by

Who Is the Company Behind ThreatSTOP Managed Rules - New and Active Malicious Bots for AWS WAF?

  • Seller: ThreatSTOP
  • Year Founded: 2009
  • HQ Location: Carlsbad, US
  • Twitter: @threatstop
    899 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    19 employees on LinkedIn®

ThumbmarkJS

Enterprise-ready, GDPR-compliant browser identification - without the enterprise price tag.

Who Is the Company Behind ThumbmarkJS?

Traceable AI

Traceable is the industry’s leading API Security company that helps organizations protect their digital systems and assets in a cloud-first world where everything is interconnected. Traceable is the only intelligent and context-aware platform that powers complete API security. Security Posture Management: Traceable helps organizations dramatically improve their security posture with a real time, risk ranked catalog of all APIs in their ecosystem, conformance analysis, identification of shadow and orphaned APIs, and visibility of sensitive data flows. RunTime Threat Protection: Traceable observes user level transactions and applies mature machine learning algorithms to discover anomalous transactions, alert the security team, and block attacks at the user level. Threat management and analytics: Traceable helps organizations analyze attacks and incidents with its API data lake, which provides rich historical data of nominal and malicious traffic. API Security Testing throughout the SDLC: Traceable connects the security lifecycle together with the DevOps lifecycle providing automated API Security tests to be run within the CI pipeline. Digital Fraud Prevention: Traceable brings together its broad and deep data collection over time and cutting edge machine learning to identify fraud across all API transactions

Who Is the Company Behind Traceable AI?

  • Seller: Harness
  • Year Founded: 2018
  • HQ Location: San Francisco
  • Twitter: @HarnessWealth
    1,389 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,832 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services
  • Company Size: 5% Large

What Do G2 Reviewers Say About Traceable AI?

AI-generated summary from verified user reviews

Pros
  • Users find the customer support of Traceable AI exceptional, providing quick and helpful guidance for their inquiries.
  • Users value the exceptional security features of Traceable AI, effectively guarding API endpoints from vulnerabilities.
  • Users find Traceable AI's setup ease impressive, enabling quick deployment and immediate insights into API vulnerabilities.
  • Users appreciate the robust API management features of Traceable AI, enabling effective monitoring and protection of APIs.
  • Users value the flexibility and customization of Traceable AI, enhancing their API security experience significantly.
Cons
  • Users express a desire for more features and functionalities in Traceable AI, highlighting limitations in usability and customization.
  • Users find it challenging to manage false positives in Traceable AI, requiring more effort than expected.
  • Users experience inefficiency in the update process, incurring unnecessary costs and facing challenges with data handling and scaling.
  • Users find the poor documentation of Traceable AI challenging, hindering effective use and requiring additional support.
  • Users highlight the need for improved reporting capabilities, especially for historical data and larger scales.

Trueguard

Fraudulent users cost you. Trueguard stops them. Trueguard is an automated fraud detection platform that blocks fake signups, bot registrations, and free tier abuse before they impact your revenue. It analyzes device fingerprints, IP and network intelligence, disposable email signals, geolocation, and real-time risk scores to catch bad actors the moment they appear, all without adding friction for legitimate users.

Who Is the Company Behind Trueguard?

TrustCaptcha

Trustcaptcha is a bot prevention and CAPTCHA software solution designed to protect websites and applications from automated abuse while maintaining the best possible user experience. It targets UX professionals, developers, website administrators, and European companies seeking GDPR compliance, who need to protect user forms, logins, and transactions from malicious bots and spam." Trustcaptcha utilizes multiple security mechanisms for increased protection, combining dynamically scaled proof-of-work (a cryptographic puzzle) with AI-driven behavioral analysis to accurately distinguish between human and automated activity. As an invisible CAPTCHA, it requires no user interaction at all—no clicking, solving, or waiting. Verification begins automatically as soon as the user engages with the page and is completed within seconds, making it virtually unnoticeable to legitimate users while effectively blocking bots. Key features and benefits include: • Dynamic Proof-of-Work Engine that adapts complexity based on threat level. • AI-Based Bot Scoring using session and behavioral data to assess if a request comes from a human. • GDPR-Compliant and EU-Based Hosting for secure and privacy-focused data handling. • Accessibility and Support for all Languages making it inclusive for all users. • Fully Customizable Design makes Trustcaptcha fit perfectly into every website design • Integration Support for all technologies and across frameworks, backed by documentation and developer support Common use cases for Trustcaptcha include: • Contact Forms • Login Pages • Registration Workflows • Comment Sections • E-Commerce Checkout Processes Trustcaptcha is well-suited for organizations seeking a invisible, no-interaction and privacy-conscious CAPTCHA alternative with high detection accuracy and flexible deployment options. Join thousands of organizations that already use Trustcaptcha to protect their websites and applications from bots and automated threats.

Who Is the Company Behind TrustCaptcha?

Veille

Outsmart AI-driven fraud and cyber attacks. Stop malicious bots, account takeovers, and automated threats before they reach your app. Protect your business in real-time.

Who Is the Company Behind Veille?

Vinishu

Vinishu is a CAPTCHA-free bot and fraud protection platform built and operated in Germany. Instead of challenging users with puzzles, it verifies every incoming request in real time - based on TLS metadata, header consistency, behavioral signals, and IP reputation - before the request reaches your application. Malicious traffic is blocked or rate-limited; legitimate users pass without ever noticing a check. Integration takes one script tag on the page and one verification call in your API, and Vinishu works behind an existing CDN or WAF setup such as Cloudflare.

Who Is the Company Behind Vinishu?

  • Seller: Vinishu
  • Year Founded: 2026
  • HQ Location: Erfurt, DE
  • LinkedIn® Page: www.linkedin.com
    2 employees on LinkedIn®

Wangsu BotGuard

Wangsu BotGuard relies on big data analytics and forms a bot management network. BotGuard detects and analyzes real time traffic, distinguishes traffic from legitimate users, benign bots, and malicious bots. It sets management policies according to different types of bot traffic, and protects customer data against unfair competitive advantages. adopting intelligence database, client-side rate limit, client-side fingerprining, bot trap, machine cognition, and etc.

Who Is the Company Behind Wangsu BotGuard?

WebDecoy

WebDecoy is a bot detection platform that combines client-side scanning, server-side verification, and honeypot traps to protect web applications from automated threats. How It Works • Bot Scanner - Client-side JavaScript that analyzes browser fingerprints, detects WebDriver automation, and monitors behavioral patterns like mouse movements and scroll behavior • Bot Scanner Pro - Two-phase detection with immediate signals plus 5-second behavioral tracking, built to catch sophisticated automation tools like Stagehand and Browserbase • Server-Side SDKs - Verify detection tokens, analyze TLS fingerprints (JA3/JA4), and enforce protection from your backend with native packages for Node.js, Express, Fastify, Next.js, Go, and PHP/WordPress • Decoy Links & Endpoints - Invisible honeypot traps and API-level detection that identify SQL injection, command injection, and path traversal attacks • Threat Scoring & Rules - Automated response engine that weighs multiple signals to deliver scores from 0-100 with configurable actions: log, block, challenge, or redirect Why Security Teams Choose WebDecoy Most bot detection relies on a single layer-either client-side or server-side. Attackers know this and optimize against it. WebDecoy combines multiple detection methods so bypassing one layer still triggers another. Client-side scanners catch headless browsers. Server-side verification catches tampered tokens. Honeypots catch bots that try to scrape everything. Built for Developers Deploy in minutes with your existing stack. Our SDK integrates as Express middleware, Fastify plugin, or Next.js edge middleware. Full TypeScript support and comprehensive documentation mean your team ships protection without friction. Who We Protect E-commerce platforms fighting credential stuffing and checkout fraud. SaaS companies blocking competitive scraping. Security teams running blue, red, and purple operations. Any organization that needs to know-with certainty-who is human and who is not.

Who Is the Company Behind WebDecoy?

Lauren Worth
LW
Researched and written by Lauren Worth
Updated October 3, 2024