Best 8 Bot Detection and Protection Solutions for Business (2026)
We reviewed the leading bot detection platforms on how accurately they distinguish malicious bots from legitimate automation, the sophistication of behavioral analysis, and how well each handles evolving bot techniques designed to evade signature-based detection.
Written by
Mirren McDade
Technical Review by
Laura Iannini
Quick Summary
Bot detection and protection solutions identify and block automated traffic from malicious bots — including credential stuffing attacks, web scraping, and account creation abuse — using behavioral analysis and machine learning to distinguish bad bots from legitimate automation. Malicious bot traffic distorts metrics, enables credential attacks, and consumes infrastructure resources. We reviewed the top platforms and found Radware Bot Manager, Aikido Security, and CHEQ Essentials to be the strongest on malicious bot identification accuracy and advanced evasion technique handling.
Bots drain resources and revenue. Account takeover attacks compromise user trust. Credential stuffing exposes password reuse at scale. Click fraud destroys advertising ROI. Web scraping steals your data and intellectual property. The problem is old, but the sophistication is new.
You need bot detection that distinguishes between legitimate crawlers and attackers. You need blocking that doesn’t frustrate real users with excessive CAPTCHAs. You need visibility into bot attack patterns without drowning in false positives. You need protection that adapts as attackers evolve their tactics. Get it wrong, and your bot defense becomes another security gap while legitimate users curse your application.
We evaluated eight bot detection and protection solutions across web, mobile, and API attack surfaces. We evaluated detection accuracy, false positive rates, mitigation approaches, deployment flexibility, and operational overhead. We reviewed customer experiences to identify where solutions deliver and where they create friction.
This guide gives you the technical insights and decision framework to match the right bot protection solution to your threat market, application architecture, and operational capabilities.
Radware Bot Manager protects web applications, mobile apps, and APIs from automated threats using behavioral modeling, collective bot intelligence, and fingerprinting. The platform provides AI-based real-time detection and protection against account takeover, DDoS, ad and payment fraud, and web scraping, with mitigation options including Crypto Challenge that blocks bots without relying on CAPTCHAs.
Radware Bot Manager Key Features
The AI-powered correlation engine automatically analyzes threat behavior, shares data across security modules, and blocks malicious source IPs, providing visibility into each attack. Radware Bot Manager includes secure identity, device, and app attestation for native iOS and Android mobile applications, protecting against identity spoofing, identity tampering, and replay attacks. It prevents mobile emulators, modified apps, and modified operating systems from accessing resources.
The platform integrates with existing infrastructure and offers granular data reporting, analytics, and configurable alerts and mitigation options. Radware Bot Manager uses three layers of proactive bot defenses: proactive protection, behavioral-based detection, and advanced mitigation. It combines specialized API protection features including API flow control, invocation context, API client SDK, and authentication flow analysis to protect web, mobile, and IoT endpoints against automated threats.
Our Take
Radware Bot Manager is a strong option for enterprises that need comprehensive bot protection across web, mobile, and API channels, particularly where CAPTCHA-free mitigation and mobile app attestation are priorities.
Strengths
- AI-powered correlation engine shares threat data across security modules for unified visibility
- Crypto Challenge blocks bots without CAPTCHAs, preserving user experience
- Mobile device and app attestation for native iOS and Android applications
- Three-layer defense: proactive protection, behavioral detection, and advanced mitigation
- Specialized API protection with flow control, invocation context, and authentication analysis
Cautions
- Pricing not publicly available; requires contacting sales for a quote
Aikido Security is a code-to-cloud and runtime security platform. It consolidates multiple security testing tools, including SAST, DAST, and CSPM, into a single platform that helps developers automatically find and fix vulnerabilities in code faster. Aikido also provides a runtime security solution, “Zen”, which supports bot detection and protection by identifying and blocking bot traffic in real time.
Aikido Security Key Features
Zen is an in-application firewall that automatically blocks SQL and command injection attacks, path traversal attempts, and bot attacks. It automatically rate-limits APIs to prevent brute force attacks and can auto-create Swagger documents. Zen can also filter incoming network traffic, and uses crowdsourced threat intelligence to automatically block inbound malicious network traffic. These network traffic controls can be used to block traffic from specific countries or web locations (like the dark web).
A common use case for blocking bot traffic at the moment is AI-generated traffic. With Aikido, you can block any kind of bot, including SEO spiders, AI data scrapers, AI assistants, and more. You can restrict IP routes and view reports that track which bots have been attempting to access your applications. You can also see which models are mining your code, view the costs of your own AI models, and enforce AI compliance policies.
Aikido supports Node, Python, PHP, JavaScript, and .Net apps, with Ruby support set to come soon. It runs completely inside your application, so it’s very quick to deploy and has a low impact on application performance. The dashboard provides detailed reports into who has been accessing your applications and what attacks and malicious activity have been stopped.
Our Take
Aikido’s paid pricing plans start at $350 USD per month for up to ten users, which includes 10M protected requests per month. A free plan is available for up to two users, which includes the bot protection capabilities. We recommend Aikido to teams that are considering looking at using runtime security as an alternative to traditional web application firewalls for both detection and protection. The platform is trusted and provides a strong feature set at a competitive price point.
Strengths
- Blocks bots, AI scrapers, SEO spiders, and malicious traffic in real time
- Crowdsourced threat intelligence for automatic malicious IP blocking
- Detailed reporting on bot activity, AI model access, and blocked attacks
- Runs inside your application with low performance impact
- Free plan includes bot protection capabilities
Cautions
- Breadth of features may be more than smaller teams with simple testing needs require
CHEQ Essentials
CHEQ Essentials protects PPC campaigns from click fraud, fake impressions, and invalid traffic. The platform targets marketing teams running Google Ads that need to stop wasting budget on bot clicks and competitor abuse. We think the real-time IP blocking across 2,000+ behavioral signals and the clean dashboard make this a practical choice for teams running significant Google Ads spend that suspect click fraud is eating their budget.
CHEQ Essentials Key Features
Real-time behavioral analysis is the core strength. The platform examines every visit against over 2,000 behavioral signals to identify invalid traffic. Once active, it automatically excludes fraudulent IPs from campaigns without manual intervention. Beyond click fraud, CHEQ handles bot mitigation for content scraping and data harvesting. The dashboard surfaces which traffic is legitimate versus suspicious, helping teams understand where budget actually goes. Automatic reports provide ongoing visibility into campaign efficacy. Deployment is straightforward, and teams typically see noticeable budget savings within days of activation.
What Customers Say
Immediate impact on ad spend earns consistent praise, with many reporting noticeable budget savings within days. The clean interface gets positive marks for being easy to navigate. Support teams help with onboarding and configuration. Something to be aware of is that Bing campaign protection requires manual IP exclusion management, adding operational friction. Analytics depth may not satisfy teams needing granular fraud investigation. Some customers mention aggressive upselling from account teams.
Our Take
We think CHEQ Essentials works well for marketing teams running significant Google Ads spend that need measurable click fraud protection quickly. The automated IP blocking delivers ROI fast. If your campaigns span Bing and Google, the manual Bing management adds friction. If you need deep investigative analytics beyond what the dashboard provides, supplement with other tools. For straightforward Google Ads click fraud protection with quick deployment, this delivers.
Strengths
- Real-time IP blocking works automatically once configured for Google Ads campaigns
- Behavioral analysis checks over 2,000 signals to catch sophisticated invalid traffic
- Clean dashboard makes fraud patterns easy to spot and understand
- Quick deployment with noticeable budget impact within days
Cautions
- Users report Bing protection requires manual IP exclusion management
- Reviews note analytics depth may not satisfy teams needing granular fraud investigation
ClickGUARD
ClickGUARD protects PPC budgets from click fraud using device fingerprinting, geolocation detection, and threat analysis. The platform targets Google Ads advertisers in competitive industries where competitor clicks and bot traffic drain ad spend. We think the device fingerprinting that catches repeat offenders across sessions and IP changes makes this a practical choice for advertisers in competitive verticals where click fraud directly impacts ROI.
ClickGUARD Key Features
Device fingerprinting is the core differentiator. The platform tracks repeat offenders across sessions and IP changes, catching fraudsters that simple IP blocking misses. The platform distinguishes between malicious and non-malicious invalid traffic, providing granularity that helps teams understand where budget actually leaks. Beyond blocking fraud, the behavioral data reveals user behavior patterns that help optimize campaigns. Device ID tracking and ISP detection work around the clock. Bot mitigation blocks malicious traffic while preserving access for legitimate crawlers. Native integrations with WordPress, Shopify, HubSpot, and other common platforms make deployment straightforward. Chat support actively helps teams design and adjust blocking rules.
What Customers Say
Measurable savings within the first week earn consistent praise. Many describe the tool as protection they did not know they needed. Chat support gets positive marks for helping design and adjust blocking rules. Something to be aware of is that rule configuration can overwhelm teams that try to set everything up independently without support assistance. YouTube campaign protection is not currently available.
Our Take
We think ClickGUARD works well for advertisers in competitive industries dealing with competitor clicks and bot traffic. The device fingerprinting catches repeat offenders that IP-based blocking misses. The behavioral insights add value beyond basic fraud blocking for teams willing to tune their rules. If you need YouTube campaign coverage, this is not available yet. For PPC budget protection with fast, visible ROI, this delivers.
Strengths
- Device fingerprinting catches repeat fraudsters across sessions and IP changes
- Behavioral data helps optimize campaigns beyond just blocking bad clicks
- Native integrations with WordPress, Shopify, and HubSpot speed up deployment
- Chat support actively helps design and adjust blocking rules
Cautions
- Users note rule configuration complexity requires support assistance for most teams
- Reviews flag YouTube campaign protection is not currently available
Cloudflare Bot Management
Cloudflare Bot Management uses data from millions of internet properties to score and filter bot traffic in real time. The platform is designed for organizations already using Cloudflare’s network that need enterprise-grade bot protection without complex deployment or additional infrastructure. We think the ML models trained on billions of daily requests and the native integration provide detection accuracy most standalone tools cannot match, making this the natural choice for Cloudflare-native environments.
Cloudflare Bot Management Key Features
Scale-trained machine learning is the core differentiator. The detection engine assigns a bot score to every request using behavioral analysis, ML, and device fingerprinting, all trained on billions of daily requests across Cloudflare’s global network. This scale gives the models pattern recognition that standalone solutions lack. Deployment requires no third-party JavaScript or complex configuration. If traffic already runs through Cloudflare, enabling bot management takes minutes. Private Access Tokens challenge bots without friction for legitimate users, working toward eliminating CAPTCHAs entirely. Ultra low-latency defenses maintain application performance even under bot attacks. Protection covers credential stuffing, scraping attempts, and fake signups, with backend performance improving as malicious traffic stops consuming resources.
What Customers Say
Immediate impact after deployment earns consistent praise. Teams report credential stuffing and scraping attempts dropping noticeably. The native integration means less operational overhead than separate bot solutions. Something to be aware of is that deep traffic analysis and investigation tools could be more granular. The platform requires Cloudflare as your network layer, limiting flexibility for organizations not already on the platform.
Our Take
We think Cloudflare Bot Management is the natural choice for organizations already routing traffic through Cloudflare. The ML models trained on network-wide intelligence provide detection accuracy that dedicated bot tools struggle to match. If you are not on Cloudflare, adopting the full platform just for bot management is a significant commitment. For Cloudflare-native environments that need enterprise-grade bot protection with minimal deployment effort, this delivers.
Strengths
- ML models trained on billions of requests provide detection accuracy most standalone tools lack
- Native Cloudflare integration means deployment in minutes without code changes
- Private Access Tokens reduce reliance on CAPTCHAs for user verification
- Ultra low-latency defenses maintain application performance under bot attacks
Cautions
- Users note deep traffic analysis and investigation tools could be more granular
- Reviews flag the platform requires Cloudflare as your network layer, limiting flexibility
DataDome
DataDome provides real-time bot detection and fraud prevention using machine learning that processes requests in under 2 milliseconds. The platform analyzes over 5 trillion signals daily with 99.99% accuracy, targeting enterprises dealing with sophisticated scraping, credential stuffing, and automated attacks across web, mobile, and API surfaces. We think the detection accuracy and managed SOC option make this a strong choice for enterprises where bot traffic directly impacts revenue and where near-perfect detection justifies premium pricing.
DataDome Key Features
Detection speed and accuracy are the core differentiators. The ML engine processes each request in under 2 milliseconds with 99.99% accuracy, meaning the false positive rate is effectively 0.01%. The platform distinguishes between sophisticated gray traffic and legitimate users without adding friction. At industry conferences, DataDome-protected sites get mentioned as among the hardest to scrape. Deployment flexibility supports CDN, proxy, or server-level implementation with a client-side JavaScript tag. Audit mode lets teams validate effectiveness before switching to active blocking. The managed SOC in enterprise pricing handles incidents without requiring internal team involvement. Device Check provides an invisible CAPTCHA alternative to verify users without friction. The platform covers web, mobile, and API surfaces with unified protection.
What Customers Say
Long-term customers consistently renew, with many describing the partnership as transformational for IT operations. Dedicated Slack channels and responsive support make DataDome feel like an extension of the security team. Something to be aware of is that cost runs higher than alternatives. Support response times can stretch to a couple of days for non-urgent issues. Multi-tenant management gets clunky for organizations securing many separate environments, and extracting large data volumes from the dashboard requires assistance.
Our Take
We think DataDome fits enterprises facing advanced bot attacks that simpler tools miss, where bot traffic directly impacts revenue. The 99.99% detection accuracy and managed SOC justify the premium for organizations that need near-zero false positives. If budget is a primary constraint or your bot challenges are less sophisticated, the premium pricing may not be justified. For enterprise-grade bot detection with the accuracy to back it up, this delivers.
Strengths
- ML engine processes requests in under 2 milliseconds with 99.99% accuracy
- Audit mode validates detection effectiveness before enabling active blocking
- Managed SOC handles incidents without requiring internal team involvement
- Flexible deployment from CDN level down to application code
Cautions
- Customers note premium pricing may not fit smaller teams or simpler use cases
- Reviews flag multi-tenant management becomes cumbersome at scale
F5 Distributed Cloud Bot Defense
F5 Distributed Cloud Bot Defense protects web, mobile, and API endpoints from advanced persistent bots. The platform targets large enterprises in banking, retail, and airlines where bot attacks translate directly to financial losses and compliance risk. F5 pairs machine learning with human domain experts to build sustainable prediction models rather than relying on automation alone. We think the hybrid ML and human expertise approach makes this a strong choice for high-stakes environments where persistent, sophisticated bot attacks have real financial consequences.
F5 Distributed Cloud Bot Defense Key Features
The hybrid ML and human expertise model is the core differentiator. Rich signal collection feeds AI that analyzes massive traffic volumes, while human domain experts build and refine prediction models to detect attacker retooling in real time. False positive rates run near zero, protecting legitimate user experience. Advanced obfuscation prevents attackers from reverse engineering the detection logic. Prebuilt integrations and SIEM connectivity through Syslog make deployment faster than custom implementations. Flexible deployment covers legacy applications, modern cloud, and on-premises environments. The platform detects and adapts to evolving bot tactics rather than relying solely on static signatures.
What Customers Say
Long-term users describe the platform as reliable with continuous improvement over the years. Support teams earn praise for responsiveness and efficient problem-solving. Security teams report faster threat response times after deployment. Something to be aware of is that configuration depth requires security expertise to optimize effectively. The platform capabilities assume mature security operations teams with the resources to leverage advanced features.
Our Take
We think F5 Distributed Cloud Bot Defense fits large enterprises in high-stakes sectors where bot attacks have direct financial impact. The combination of ML and human expertise produces more durable defenses than pure automation, which matters when attackers continuously retool. If your team lacks security operations maturity, the platform may underperform relative to the investment. For organizations facing persistent, sophisticated bot threats with real financial consequences, this delivers enterprise-grade protection.
Strengths
- Near-zero false positive rate protects legitimate user experience
- Human expertise combined with ML creates sustainable, adaptable detection models
- Flexible deployment across legacy applications, modern cloud, and on-premises environments
- SIEM integration through Syslog fits existing security operations workflows
Cautions
- Users mention configuration depth requires security expertise to optimize effectively
- Reviews note platform capabilities assume mature security operations teams
Indusface AppTrana
Indusface AppTrana combines web application firewall capabilities with bot management for APIs and web applications. The platform includes managed service support where the Indusface team builds custom policies and adjusts protection levels based on specific application needs. We think the managed service model with adaptive rules makes this a practical choice for mid-market organizations that need bot protection but lack the internal expertise to tune and maintain it themselves.
Indusface AppTrana Key Features
The managed service model is the core differentiator. The Indusface team builds custom policies and adjusts protection levels based on your specific application needs, providing a white-glove approach that helps teams without dedicated bot management expertise. Adaptive rules create protections dynamically based on real traffic patterns, reducing false positives without constant manual tuning. Multi-layered detection combines static request analysis with behavioral detection, scoring each request against multiple bot modules. Onboarding happens quickly with minimal downtime, and POC support uses real production data so you see actual results before committing. Dashboards provide actionable insights into protection status with quick remediation options. The platform is expanding into attack surface management and API discovery.
What Customers Say
Implementation experience earns consistent praise with quick onboarding and minimal downtime. Some customers have stayed over a decade, citing consistent protection and compliance support. Customer service gets high marks for responsiveness and hands-on involvement. Something to be aware of is that the managed service model may feel restrictive for teams wanting full control over policies and configurations. The platform is less suited to organizations with mature, self-sufficient security operations that prefer managing their own tuning.
Our Take
We think Indusface AppTrana works well for mid-market organizations that need bot protection without the internal expertise to manage it. The managed model means the vendor does the heavy lifting on policy creation and tuning. If your team prefers full control over configurations and policies, the managed approach may feel limiting. For organizations that want effective bot protection with vendor-managed policies and adaptive rules, this delivers.
Strengths
- Managed service team builds custom policies for your specific applications
- Adaptive rules create protections dynamically based on real traffic patterns
- Quick implementation with POC support using production data before committing
- Platform expanding into API security and attack surface management
Cautions
- Users mention managed service model may feel restrictive for teams wanting full control
- Reviews note the platform is less suited to organizations with mature, self-sufficient security operations
What To Look For: Bot Detection Solutions Checklist
When evaluating bot detection and protection solutions, we’ve identified six critical criteria. Here’s the checklist of questions you should be asking:
- Detection Accuracy and False Positives: What’s the false positive rate? Does the platform distinguish between legitimate crawlers and attackers? Can you tune detection sensitivity per application?
- Deployment Flexibility: Can you implement at the CDN, proxy, or application level? Does it require third-party JavaScript? Does it work in hybrid cloud environments?
- Mitigation Approaches: Does it use CAPTCHAs or friction-free challenges? Can you rate-limit or block entirely? Does it support mobile devices without degrading experience?
- Coverage range: Does it protect web, mobile, and API surfaces? Can you handle account takeover, scraping and credential stuffing, plus payment fraud? Does it work for PPC campaigns?
- Visibility and Reporting: Can you see detailed attack patterns and trends? Does it integrate with SIEM systems? Can you export data for analysis?
- Operational Model: Do you manage it yourself or is managed service available? How much tuning and maintenance does it require? What SLA does the vendor provide for support?
Weight these criteria based on your threat market. Organizations facing sophisticated attackers should prioritize detection accuracy and adaptive learning. E-commerce teams should emphasize fraud prevention and payment protection. MSPs and agencies should focus on multi-tenant support and ease of deployment.
How We Compared The Best Bot Detection And Protection Solutions
Expert Insights is an independent editorial team that researches, tests, and reviews cybersecurity and IT solutions. No vendor can pay to influence our review of their products. Our Editor’s Scores are based solely on product quality. Before testing, we map the full vendor market for each category, identifying all active vendors from market leaders to emerging challengers.
We evaluated eight bot detection and protection platforms across web, mobile, API, and PPC threat scenarios. We assessed detection accuracy, false positive rates, deployment flexibility, alongside mitigation approaches and operational overhead. Each platform was tested for its ability to distinguish between legitimate and malicious traffic and adapt to evolving bot tactics, plus integrate with existing security operations.
Beyond hands on testing, we conducted research across the bot defense market and reviewed customer feedback and deployment experiences to validate vendor claims against operational reality. We spoke with product teams to understand architecture decisions, roadmap priorities, and known limitations. Our editorial and commercial teams operate independently. No vendor can pay to influence our review of their products.
This guide is updated quarterly. For full details on our evaluation process, visit our How We Test & Review Products.
The Bottom Line
Bot detection success depends on matching the platform to your threat sophistication, application architecture, and operational capabilities.
If you face advanced, persistent bot attacks with real financial consequences, DataDome delivers near-perfect detection with managed SOC services. Premium pricing reflects the value of minimal false positives and outsourced incident response.
If you prefer human expertise backing machine learning, F5 Distributed Cloud Bot Defense combines ML models with domain experts. Near-zero false positives protect legitimate user experience.
If you already use Cloudflare, Cloudflare Bot Management deploys in minutes with ML trained on billions of daily requests. Native integration eliminates operational overhead. Switching to Cloudflare means routing all traffic through their network.
If PPC click fraud is your primary concern, CHEQ Essentials detects invalid traffic across 2,000+ behavioral signals. Real-time IP blocking prevents fraudulent clicks automatically. Google Ads focus limits Bing coverage.
If you operate in competitive industries with competitor clicking, ClickGUARD provides device fingerprinting and behavioral insights. Quick ROI with measurable savings. Rule configuration requires vendor support.
For enterprises wanting multi-layer protection, Radware Bot Manager combines behavioral modeling, device fingerprinting, and collective intelligence. Crypto Challenge blocks bots without CAPTCHA friction. False positive tuning requires ongoing attention.
For development teams wanting consolidated AppSec, Aikido Security includes in-app runtime protection alongside SAST and CSPM. Low false positive rate keeps developers engaged.
If your team wants managed bot protection without internal expertise, Indusface AppTrana provides adaptive rules with vendor-managed policies. Quick implementation with production-based POCs.
Read the individual reviews above to dig into deployment specifics, pricing, and the trade-offs that matter for your bot protection strategy.
FAQs
Everything You Need To Know About Bot Detection And Protection Solutions (FAQs)
Bot traffic – or, to be more specific, bad bot traffic – is on the rise, and it becoming an increasingly prevalent threat to cybersecurity.
Bot detection and protection is the process of distinguishing between bot and human activity, alongside determining which bots are malicious and which are legitimate. This also encompasses taking steps to protect against malicious bots that may execute automated attacks such as account takeover, carding attacks, and credential stuffing. Bots can also make fake accounts, scrape product and pricing information, or board and scalp your inventory.
Bot detection and protection solutions address this by employing a range of sophisticated technologies, which include behavioural analysis, device fingerprinting, and IP reputation analysis to detect and block bots in real-time. These solutions are adept at identifying evolving threats and adapting their defence mechanisms to provide robust protection against sophisticated bot attacks.
Bot detection and prevention solutions work by using a combination of techniques and technologies to identify and mitigate the activities of automated bots on websites, online services, or applications. These solutions help to boost overall security by analyzing user behavior, device characteristics, and network traffic to identify any anomalies quickly and efficiently. By doing this, organizations put themselves in a good position to protect their online assets from malicious bot activities and preserve the integrity and overall security of their online services.
Implementing these solutions provides numerous benefits to organizations, including:
- Preventing Fraud and Data Theft: By blocking unauthorized bots, they prevent fraudulent activities and protect sensitive data from being stolen.
- Enhancing User Experience: By mitigating bot traffic, they ensure a smoother, faster, and more secure user experience on the website or application.
- Protecting Business Revenues: By shielding against content scraping and inventory hoarding, these solutions help in protecting business revenues and intellectual property.
- Compliance Adherence: These solutions assist in complying with regulatory mandates by providing robust security against bot attacks.
Having a robust bot detection and protection solution is critical for businesses today. Some key features to look out for in any solution you consider include the following:
- Wide Ranging Bot Protection. Any solution that you opt for is likely to have basic bot protection capabilities. However, in today’s cyber landscape, it is important to ensure that you can also protect yourself against more advanced bots, particularly those designed to emulate remote clients and the ones that impersonate legitimate users. Customer touch points need to be fully secured at all times, as well as web applications, mobiles apps, APIs and IoT devices, so choosing a solution capable of protecting against the full range of bot attacks is vital.
- Robust Detection. As bots become more sophisticated and better able to mimic human behavior, the need for a robust detection engine has increased. When we describe a bot detection and protection solution as ‘robust’ we mean that it is capable of accurately differentiating between good and bad bots. It should be able to identify what type of bot attack is being attempted (i.e., credential stuffing, web scraping, inventory hoarding, ad fraud). This can be achieved through carrying out anomaly detection, assessing real-time signals, using historical experience, and providing risk classification validation.
- Machine Learning. Machine learning is a highly useful capability as it can be employed to continually adapt and improve bot detection algorithms. Systems can learn by analyzing historical data and real-time traffic patterns, which makes identifying and blocking bots far easier. Organizations should take steps to ensure their data sets are as up to date as possible to ensure the training model is sufficiently accurate. This model should be updated with new emerging threats, changing signatures, or new customer-specific requirements, ensuring that it can always provide accurate and comprehensive protection.
- Transparency. It is not enough to just deploy a bot detection and prevention solution and leave it at that, organizations need to understand the risks that their organization is susceptible to, in order to address these. To reduce the rates of false positives and truly refine defenses, it is useful to understand why a request was identified as a bot. A good bot detection and protection solution should provide risk scoring, bot classification, and detailed session telemetry with reason codes so that users can gain insights into bot traffic, easily and accurately.
- Types Of Response. This is particularly important for organizations who are frequent targets of bot-powered attacks. There is a broad range of ways that your solution can respond to a known attack – alerting, delaying, blocking, misdirecting, challenges, creating honeypots etc. You should ensure that this response is appropriate and is tailored to suit your organization’s needs.
- User Experience. While the goal of these solutions is, of course, to manage bot traffic, this cannot come at the expense of the end user experience. If any solution you use disrupts the experience for legitimate users, they may be discouraged. You should ensure that your solution is easy to use and does not negatively impact the user.
Written By
Mirren McDade is a senior writer and journalist at Expert Insights, spending each day researching, writing, editing and publishing content, covering a variety of topics and solutions, and interviewing industry experts.
She is an experienced copywriter with a background in a range of industries, including cloud business technologies, cloud security, information security and cyber security, and has conducted interviews with several industry experts.
Mirren holds a First Class Honors degree in English from Edinburgh Napier University.
Technical Review
Laura Iannini is a Cybersecurity Analyst at Expert Insights. With deep cybersecurity knowledge and strong research skills, she leads Expert Insights’ product testing team, conducting thorough tests of product features and in-depth industry analysis to ensure that Expert Insights’ product reviews are definitive and insightful.
Laura also carries out wider analysis of vendor landscapes and industry trends to inform Expert Insights’ enterprise cybersecurity buyers’ guides, covering topics such as security awareness training, cloud backup and recovery, email security, and network monitoring. Prior to working at Expert Insights, Laura worked as a Senior Information Security Engineer at Constant Edge, where she tested cybersecurity solutions, carried out product demos, and provided high-quality ongoing technical support.
Laura holds a Bachelor’s degree in Cybersecurity from the University of West Florida.