Best Bot Detection and Mitigation Software - Page 7

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

Total Products under this Category: 111

Category Stats (Sep 2026)

  • Average Rating: 4.54/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Link11 (+0.17%) - Among all products in this category, Link11 recorded the largest rating increase compared to last month

Last updated: September 05, 2026

How Does G2 Rank Bot Detection and Mitigation Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 4,100+ Authentic Reviews
  • 111+ 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, Akamai Bot Manager, and Azion.

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=akamai-bot-manager&focus%5B%5D=azion)

IPASIS

IPASIS is a real-time bot detection and fraud prevention API that combines IP intelligence, proxy/VPN detection, and email validation into a single API call. Each request returns an Interaction Trust Score (0-100) analyzing whether traffic is from a legitimate user or a bot/fraudster. Response time under 20ms. Free tier: 100 requests/day with no credit card required.

Who Is the Company Behind IPASIS?

Kaidn

Kaidn is fraud detection software that scores signups, logins, checkouts, and withdrawals via a single API call to prevent fraudulent transactions. It analyzes connection handshakes before pages load, focusing on the protocol layer that fraudsters cannot easily manipulate, unlike browser or IP claims. This approach detects fake browsers and spoofed devices missed by traditional systems. Kaidn offers transparent allow, review, or block decisions with human-readable explanations for support teams to share with customers. It integrates shared intelligence across its network, flagging fraudsters caught by one operator for others while protecting privacy. The platform identifies VPNs, proxies, returning devices, velocity anomalies, and email patterns. Integration is simple via REST calls or Node.js SDK, with no mandatory onboarding. A dashboard displays decision signals and weightings. Free tools and a free tier enable evaluation on real traffic.

Who Is the Company Behind Kaidn?

Kairal

Kairal brings adaptive AI defenses and session intelligence to detect automated threats across the entire customer journey.

Who Is the Company Behind Kairal?

LeadShield.ai

LeadShield scores web-form submissions in real time and blocks fake, bot and AI-generated leads before they reach the CRM. Every verdict includes plain-English reasons. Teams can also audit up to 250 existing CSV leads free, with no account, card or installation.

Who Is the Company Behind LeadShield.ai?

Moontask

Moontask is an AI-powered verification infrastructure that classifies wallets by authenticity and prevents bot infiltration in Web3 campaigns. It analyzes on-chain behavior patterns and AI social signals to score each wallet across five quality tiers.

Who Is the Company Behind Moontask?

Myra Bot Management

Myra Bot Management helps organizations protect their websites, web applications, and APIs against unauthorized access and malicious automated traffic, including credential stuffing, web scraping, click fraud, form spam, account takeover, inventory hoarding, and analytics skewing. Autonomously operating bots account for approximately half of all website traffic, with around 20 percent considered potentially dangerous. Malicious bots scan web platforms for exploitable vulnerabilities, copy content, block shopping carts, and attempt to compromise user accounts. Standard security measures struggle to detect these threats because bots spoof browser information, vary IP addresses, and distribute requests to mask their automated nature. Myra Bot Management addresses this by generating a unique fingerprint for every requesting bot from more than 50 access attributes – independently of IP address, ASN, or User Agent – enabling reliable identification and precise traffic control. The solution requires no additional hardware or software and integrates seamlessly into existing infrastructure as part of the broader Myra Application Security suite. It is designed for organizations in regulated industries such as finance, e-commerce, healthcare, and public sector that require GDPR-compliant, certified bot protection with full data sovereignty. Key features and capabilities include: - Passive Fingerprinting: Each time a website is accessed, Myra generates a fingerprint from over 50 attributes to uniquely identify the software used. Once identified, a bot is immediately recognized on every subsequent visit, regardless of IP changes or spoofed headers. - Behavioral Analytics: Myra automatically identifies unusual request patterns through behavioral analysis, detecting threats that evade signature-based approaches. - Automation Tool Detection: The solution reliably identifies common automation frameworks such as Selenium and PhantomJS, blocking automated attacks at the source. - Flexible Traffic Controls: Each incoming request receives an appropriate response – Block, CAPTCHA, Log, Allow, Browser Challenge, or Human Interaction Challenge – enabling granular control without impacting legitimate users or search engine bots. - Alternate Origin Routing: If necessary, Myra can redirect suspicious requests to alternative origin servers to protect the main infrastructure from overload or targeted abuse. Myra Bot Management guarantees service availability of up to 99.999% via SLA and is backed by 24/7 support from Myra's Security Operations Center. The platform holds ISO 27001 (BSI IT-Grundschutz), BSI C5 Type 2, PCI DSS, IDW PS 591 Type 2, and BSI KRITIS certifications, and fully complies with NIS-2, DORA, and GDPR requirements.

Who Is the Company Behind Myra Bot Management?

PopularCaptcha

PopularCaptcha is an AI-powered CAPTCHA solving platform that automates human verification workflows. It supports a wide range of CAPTCHA types, including Google reCAPTCHA, hCaptcha, Cloudflare Turnstile, AWS WAF, TikTok CAPTCHA, Prosopo CAPTCHA, and custom CAPTCHA challenges. Through API integration, PopularCaptcha helps businesses and developers automate CAPTCHA solving, improve operational efficiency, and support scalable verification workflows across web applications and online services

Who Is the Company Behind PopularCaptcha?

ShieldLabs

ShieldLabs is a fraud detection and prevention platform built on visitor identification and anonymity signal detection. One JavaScript snippet collects more than 100 device and network signals on every visit, and the platform returns a risk score with the named signals behind it through an API and signed webhooks. The customer's own code decides what to do with it. WHO IT IS FOR Two groups, arriving through different doors. Developers and technical founders, most often the CTO at a team of five to fifty people. The product is API-first, so whoever evaluates it is usually whoever integrates it, and the decision logic stays in their own codebase. Growth, marketing and analytics people, who may never open the API. Once the snippet is installed the dashboard is theirs: which traffic sources bring anonymised and high-risk visitors, what share of sessions is clean, and how that moves week to week. By sector it clusters where a free tier, a promotion or a signup carries real marginal cost: SaaS and AI products with usage-based infrastructure bills, ecommerce, marketplaces, fintech, gaming, iGaming, crypto, media streaming, ticketing and travel. WHAT IT DETECTS Detection covers the full spectrum of anonymity rather than a single flag. Network Intelligence covers VPNs, proxies, Tor, Apple Private Relay, datacenter IP ranges, IP reputation and timezone mismatch against the IP location. Device Intelligence covers anti-detect browsers, browser automation, bot traffic, operating system mismatch and undetectable operating systems. Everything is drawn from more than 100 signals collected on each visit and interpreted by a combination of deterministic rules and AI. Each finding arrives as a separately named signal, so the kind of anonymity present is visible rather than hidden behind one number. IDENTIFICATION THAT PERSISTS A returning visitor is recognised with up to 99% accuracy despite cleared cookies, incognito mode, IP rotation and months between visits. Device and network signals are collected together and cross-checked, which is what exposes deep masking. EXPLAINABLE RISK SCORING Every visit receives a risk score together with the named signals that produced it. Individual decisions stay auditable: when a legitimate customer is caught by a rule, the reason can be looked up rather than guessed. Scores group into clean, low, medium and high risk bands, and the customer sets the threshold that matters for their business. PATTERNS Correlation across accounts, devices and identities is pre-computed in the dashboard rather than left as an exercise. Patterns point to multi-accounting, account sharing, account takeover and account farms operating behind a single connection, and give an investigation its starting point. TRAFFIC AND RISK ANALYTICS Alongside the score for an individual visit, the dashboard gives an overall traffic risk score for the whole property, with the split across risk bands and how it moves over time. The same breakdown runs per source, including channels, referrers and campaigns, so it becomes visible which acquisition channels bring anonymised and high-risk visitors. For anyone buying traffic, that turns a monthly ad invoice into something that can be argued with. AI TRAFFIC AND FRAUD COPILOT The Copilot turns traffic data into clear summaries, investigations, answers and ready-to-run actions against fraud, tailored to the customer's business type. WHAT IT IS USED FOR Multi-accounting: one person running many accounts to farm a benefit. Free-trial abuse: endless new trials from the same person. 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. Loyalty fraud: points and rewards farmed illegitimately. New-account fraud: fraudulent signups at registration. Account takeover: someone else logging into a real user's account. Account sharing: one subscription used by many people. Ban evasion: banned users returning under new identities. Paywall bypass: reading paid content without paying. Payment fraud: fraudulent transactions. Ad fraud: paid traffic that does not match what was paid for. Location spoofing: faked geography to reach restricted content or pricing. Sybil attacks: many fake identities used to sway a system, common in crypto and Web3. Returning visitor recognition: the same capability pointed the other way, identifying a good returning customer without asking them to prove who they are again. INTEGRATION Setup is one JavaScript snippet with about five minutes to the first signal. Ready-made install guides cover React, Next.js, Vue, Angular, Svelte, Preact and plain JavaScript, as well as WordPress, Shopify and Tilda, where the snippet goes into the platform's existing custom-code field and needs no developer. Server-side SDKs are available for Node.js, Python, Go and PHP, with an OpenAPI specification for everything else. Results arrive through a public API and signed webhooks, available on every plan including the free tier. PRICING Pricing is published and flat, with no per-seat charges and no sales process. Every plan includes the full detection stack; higher tiers add volume, not features. The free tier is 5,000 identifications, granted once, with no credit card and no time limit. Paid plans are $99 per month for 25,000 identifications, $399 for 150,000 and $999 for 500,000. Because allowances grow faster than price, the effective cost per identification falls as volume grows, from $0.00396 on the entry plan to $0.00200 at the top. Yearly billing saves 20 percent: $950, $3,830 and $9,590 per year respectively. Traffic above a plan allowance continues to be identified and scored rather than being cut off. The excess is billed at the plan's own rate as a line item on the next renewal invoice, because detection that switches off when a quota runs out is not detection.

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?

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