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
Joel Witts
Technical Review by
Laura Iannini
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 landscape, application architecture, and operational capabilities.
What is Bot Detection and Protection?
Bot detection and protection is the practice of identifying automated traffic hitting your website, app, or API, and blocking the malicious bots while letting legitimate ones through. Not all bots are bad: search engine crawlers are useful, but others carry out credential stuffing, scrape your content, commit click fraud, or create fake accounts. These tools watch how visitors behave, compare them against known bot patterns, and stop the harmful automation, ideally without making real users solve endless CAPTCHAs. The goal is to protect revenue, data, and infrastructure from automated abuse while keeping the experience smooth for legitimate customers.
Bot detection platforms combine multiple signals to score and classify every request: device and browser fingerprinting, IP and network reputation, and behavioral analysis of how a client interacts with the application over time. Machine learning models, often trained on large cross-customer traffic datasets, separate human users from automation and distinguish benign bots from malicious ones such as credential-stuffing tools, scrapers, and account-creation bots. Because attackers continually retool, signature-based detection alone fails, so the strongest platforms emphasize adaptive behavioral models and, in some cases, human threat analysts.
Mitigation matters as much as detection. Modern tools favor friction-free challenges, cryptographic challenges, Private Access Tokens, or invisible device checks, over CAPTCHAs that frustrate legitimate users, alongside rate limiting and outright blocking. Coverage should span web, mobile (with app attestation), and API surfaces, and deployment can sit at the CDN, reverse proxy, or application level, or via a JavaScript tag or SDK. The recurring trade-off is detection accuracy versus false positives: blocking too aggressively turns away real customers, so low false-positive rates and tunable sensitivity are the metrics that matter most.
Bot Detection and Protection Solutions Compared
Here is how the top bot detection and protection solutions compare on best fit and core capabilities.
| Product | Best For | Web / Mobile / API Coverage | Behavioral / ML Detection | CAPTCHA-Free Mitigation | Managed Service |
|---|---|---|---|---|---|
|
Radware Bot Manager
|
Enterprise multi-channel protection
|
Yes
|
Yes
|
Yes
|
No
|
|
Aikido Security
|
Developer-first runtime protection
|
No
|
Yes
|
Yes
|
No
|
|
CHEQ Essentials
|
Google Ads click fraud
|
No
|
Yes
|
Yes
|
No
|
|
ClickGUARD
|
PPC protection in competitive verticals
|
No
|
Yes
|
Yes
|
No
|
|
Cloudflare Bot Management
|
Cloudflare-native environments
|
Yes
|
Yes
|
Yes
|
No
|
|
DataDome
|
Advanced, revenue-impacting bot attacks
|
Yes
|
Yes
|
Yes
|
Yes
|
|
F5 Distributed Cloud Bot Defense
|
High-stakes enterprise sectors
|
Yes
|
Yes
|
Yes
|
Yes
|
|
Indusface AppTrana
|
Mid-market needing managed protection
|
Yes
|
Yes
|
No
|
Yes
|
How We Tested
Expert Insights is an independent editorial team, and no vendor can pay to influence our reviews. We evaluated eight bot detection and protection platforms across web, mobile, and API threats, assessing detection accuracy, false positive rates, and mitigation flexibility through hands-on testing and customer feedback. This guide was written by Mirren McDade, Senior Journalist and Content Writer, and technically reviewed by Laura Iannini, Cybersecurity Analyst at Expert Insights. Read our full methodology
Radware
Best for Enterprises needing protection across web, mobile, and API channels
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.
- AI-powered correlation engine analyzes threat behavior, shares data across security modules, and blocks malicious source IPs, providing visibility into each attack
- Secure identity, device, and app attestation for native iOS and Android applications, protecting against identity spoofing, tampering, and replay attacks
- Prevents mobile emulators, modified apps, and modified operating systems from accessing resources
- Three layers of proactive bot defense: proactive protection, behavioral-based detection, and advanced mitigation
- Specialized API protection including API flow control, invocation context, API client SDK, and authentication flow analysis across web, mobile, and IoT endpoints
Radware Bot Manager is a strong option for enterprises that need broad bot protection across web, mobile, and API channels, particularly where CAPTCHA-free mitigation and mobile app attestation are priorities.
Strengths
Cautions
Aikido Security
Best for Teams using runtime security as a WAF alternative
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.
- Zen in-application firewall automatically blocks SQL and command injection attacks, path traversal attempts, and bot attacks
- Automatically rate-limits APIs to prevent brute force attacks and can auto-create Swagger documents
- Filters incoming network traffic and uses crowdsourced threat intelligence to block inbound malicious traffic, including by country or web location such as the dark web
- Blocks any kind of bot, including SEO spiders, AI data scrapers, and AI assistants, with reporting on which bots and AI models are accessing your applications
- Runs completely inside your application, supporting Node, Python, PHP, JavaScript, and .NET, with low performance impact and quick deployment
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 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
Cautions
CHEQ Essentials
CHEQ
Best for Marketing teams running significant Google Ads spend
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.
- Real-time behavioral analysis examines every visit against over 2,000 behavioral signals to identify invalid traffic
- Automatically excludes fraudulent IPs from campaigns without manual intervention once active
- Bot mitigation for content scraping and data harvesting beyond click fraud
- Dashboard surfaces which traffic is legitimate versus suspicious, helping teams understand where budget actually goes
- Automatic reports provide ongoing visibility into campaign efficacy, with straightforward deployment and noticeable budget savings within days
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.
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
Cautions
ClickGUARD
ClickGUARD
Best for Google Ads advertisers in competitive verticals
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.
- Device fingerprinting tracks repeat offenders across sessions and IP changes, catching fraudsters that simple IP blocking misses
- Distinguishes between malicious and non-malicious invalid traffic, providing granularity into where budget actually leaks
- Behavioral data reveals user behavior patterns that help optimize campaigns beyond blocking fraud
- Device ID tracking and ISP detection work around the clock, with bot mitigation that preserves access for legitimate crawlers
- Native integrations with WordPress, Shopify, HubSpot, and other platforms, with chat support that helps design and adjust blocking rules
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.
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
Cautions
Cloudflare Bot Management
Cloudflare
Best for Organizations already using Cloudflare's network
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.
- Detection engine assigns a bot score to every request using behavioral analysis, ML, and device fingerprinting, trained on billions of daily requests across Cloudflare’s global network
- 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
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.
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
Cautions
DataDome
DataDome
Best for Enterprises facing advanced, revenue-impacting bot attacks
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.
- ML engine processes each request in under 2 milliseconds with 99.99% accuracy, meaning the false positive rate is effectively 0.01%
- Distinguishes between sophisticated gray traffic and legitimate users without adding friction
- 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
- Managed SOC in enterprise pricing handles incidents without internal team involvement, with Device Check providing an invisible CAPTCHA alternative across web, mobile, and API surfaces
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.
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
Cautions
F5 Distributed Cloud Bot Defense
F5
Best for Large enterprises in banking, retail, and airlines
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.
- 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, detecting and adapting to evolving bot tactics rather than relying solely on static signatures
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.
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
Cautions
Indusface AppTrana
Indusface
Best for Mid-market organizations needing managed bot protection
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.
- Managed service team builds custom policies and adjusts protection levels based on your specific application needs, a white-glove approach for 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
- Quick onboarding with minimal downtime, and POC support that uses real production data so you see actual results before committing
- Dashboards provide actionable insights into protection status with quick remediation options, with the platform expanding into attack surface management and API discovery
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.
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
Cautions
Application Security Pricing
Bot detection pricing spans accessible PPC-protection subscriptions through to fully quote-based enterprise platforms. Where pricing is published we have summarized it below; the enterprise web, mobile, and API platforms are typically quoted based on traffic volume and the surfaces you protect.
| Product | Starting Price | Billing | Link |
|---|---|---|---|
|
Radware Bot Manager
|
Contact for quote
|
Not disclosed
|
|
|
Aikido Security
|
$350/month (up to 10 users, 10M requests); free plan for up to 2 users
|
Monthly or annual
|
|
|
CHEQ Essentials
|
Subscription; contact for current pricing
|
Monthly or annual
|
|
|
ClickGUARD
|
Subscription; contact for current pricing
|
Monthly or annual
|
|
|
Cloudflare Bot Management
|
Contact for quote (enterprise add-on)
|
Annual
|
|
|
DataDome
|
Contact for quote (premium pricing)
|
Annual
|
|
|
F5 Distributed Cloud Bot Defense
|
Contact for quote
|
Annual
|
|
|
Indusface AppTrana
|
Per-application monthly plans; contact for quote
|
Monthly or annual
|
|
Application Security Checklist
These are the questions and operational steps we recommend working through when selecting and deploying a bot detection and protection solution, whichever vendor you choose.
Blocking too aggressively turns away real customers, so confirm the platform's false positive rate and whether you can tune detection sensitivity per application.
Friction-free challenges like cryptographic challenges, Private Access Tokens, or invisible device checks protect the user experience far better than CAPTCHA walls.
Verify the tool protects web, mobile (with app attestation), and API surfaces, and the specific abuse types you face, whether that is credential stuffing, scraping, account creation, or click fraud.
CDN, reverse proxy, application-level, JavaScript tag, or SDK options determine whether the tool fits your stack without forcing infrastructure changes.
Attackers continuously retool, so machine learning and behavioral models, sometimes backed by human analysts, hold up where signature-based detection quickly goes stale.
Detailed attack-pattern reporting and the ability to feed events into your SIEM let you investigate trends and tie bot activity into wider security operations.
A managed SOC or vendor-tuned policies suit teams without dedicated bot expertise, while mature security teams may prefer full control over configuration.
An audit or monitor-only mode that classifies your real traffic without blocking shows the true detection and false positive rates before you turn on enforcement.
Bot scoring must add minimal latency, so check that detection runs in milliseconds and does not degrade the experience for legitimate users under load.
PPC-focused tools protect ad spend cheaply, while enterprise platforms justify premium pricing only when bot traffic directly threatens revenue or compliance.
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, and the 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 and near-zero false positives.
If you already use Cloudflare, Cloudflare Bot Management deploys in minutes with ML trained on billions of daily requests, though it 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 with automatic real-time IP blocking, with the trade-off that its Google Ads focus limits Bing coverage. If you operate in competitive industries with competitor clicking, ClickGUARD provides device fingerprinting and behavioral insights with quick ROI, though rule configuration benefits from vendor support.
For enterprises wanting multi-layer protection, Radware Bot Manager combines behavioral modeling, device fingerprinting, and collective intelligence, with Crypto Challenge blocking bots without CAPTCHA friction. For development teams wanting consolidated AppSec, Aikido Security includes in-app runtime protection alongside SAST and CSPM with a low false positive rate. And if your team wants managed bot protection without internal expertise, Indusface AppTrana provides adaptive rules with vendor-managed policies and quick, 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.
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.
Application Security Resources
Further reading on application security from Expert Insights — buyers' guides, comparison articles, and platform-specific shortlists.
Written By
Joel is the Director of Content and a co-founder at Expert Insights; a rapidly growing media company focussed on covering cybersecurity solutions.
He’s an experienced journalist and editor with 8 years’ experience covering the cybersecurity space. He’s reviewed hundreds of cybersecurity solutions, interviewed hundreds of industry experts and produced dozens of industry reports read by thousands of CISOs and security professionals in topics like IAM, MFA, zero trust, email security, DevSecOps and more.
He also hosts the Expert Insights Podcast and co-writes the weekly newsletter, Decrypted. Joel is driven to share his team’s expertise with cybersecurity leaders to help them create more secure business foundations.
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.