Best Bot Detection And Protection Solutions
Discover the top bot detection and protection solutions with features like real-time traffic analysis, behavioral biometrics, and automated threat responses.
Written by
Mirren McDade
Technical Review by
Laura Iannini
Quick Summary
For enterprises blocking account takeover and credential stuffing at scale, Radware Bot Manager uses AI correlation to connect attack data across modules while blocking bots with Crypto Challenge instead of CAPTCHAs. False positive tuning requires ongoing attention to avoid legitimate user impact.
If you need bot protection integrated with code security, Aikido Security adds runtime protection against injection attacks and scrapers directly inside applications deployed with low overhead. Low false positive rates keep developers engaged. Advanced reporting and policy customization remain limited for enterprise environments.
For marketing teams protecting Google Ads from click fraud, CHEQ Essentials analyzes 2,000+ behavioral signals to catch invalid traffic in real time with automatic IP blocking. Clean dashboards make fraud patterns easy to spot. Bing protection requires manual IP exclusion, and analytics depth may not satisfy teams needing granular investigation.
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.
Our Recommendations
Your ideal platform depends on whether you prioritize application-layer protection, enterprise behavior analysis, or PPC campaign defense.
- Best For Enterprise Threat Correlation: Radware Bot Manager connects attack data across modules using an AI correlation engine to provide complete visibility into account takeover and credential stuffing threats.
- Best For Developer-Centric Protection: Aikido Security consolidates SAST, DAST, and CSPM with runtime protection against injection attacks and bot traffic deployed directly in applications with minimal performance overhead.
- Best For PPC Campaign Protection: CHEQ Essentials analyzes 2,000+ behavioral signals to catch invalid traffic on Google Ads campaigns with real-time IP blocking that executes automatically.
- Best For Device Fingerprinting and Behavioral Analysis: ClickGUARD protects PPC budgets using device fingerprinting and geolocation detection to catch repeat fraudsters across sessions and IP changes.
- Best For Cloudflare-Native Environments: Cloudflare Bot Management uses machine learning trained on billions of requests to detect bots with accuracy most standalone tools lack.
Radware Bot Manager defends web applications, mobile apps, and APIs against sophisticated automated threats. It targets enterprises dealing with account takeover attempts, credential stuffing, web scraping, and payment fraud at scale.
Behavioral Detection Without the CAPTCHA Friction
The platform combines behavioral modeling, device fingerprinting, and collective bot intelligence to identify threats in real time. We found the AI-powered correlation engine particularly effective. It analyzes attack patterns across modules and automatically blocks malicious IPs while building a complete picture of each incident.
The Crypto Challenge mitigation option stands out. It stops bots without forcing legitimate users through CAPTCHA workflows. For mobile apps, Radware provides device and app attestation for iOS and Android, blocking emulators and modified apps from accessing protected resources.
What Long-Term Users Report
Customers consistently praise the detection accuracy and flexible blocking options. Support gets high marks for responsiveness and helping teams optimize their configurations over time.
Some users have flagged false positive tuning as an ongoing effort. Friendly crawlers and legitimate traffic occasionally get blocked, which creates SEO and UX headaches. Customers also mention the reporting features could use more customization options.
A Strong Fit for Complex Enterprise Environments
If your organization faces sophisticated bot attacks across web, mobile, and API surfaces, Radware delivers solid protection. We think the three-layer defense model works well for enterprises with complex security requirements and the resources to tune it properly.
Strengths
- AI correlation engine connects attack data across modules for complete threat visibility
- Crypto Challenge blocks bots without degrading user experience through CAPTCHAs
- Mobile attestation prevents emulators and modified apps from accessing protected resources
- Responsive support team helps optimize configurations for specific environments
Cautions
- Based on customer feedback, false positive tuning requires ongoing attention to avoid blocking legitimate traffic
- Some customer reviews flag that reporting customization options are limited compared to some competitors
Aikido Security consolidates SAST, DAST, and CSPM into a single code-to-cloud platform built for development teams. The runtime component, Zen, adds in-app protection against injection attacks and bot traffic, plus AI scrapers without the overhead ofa traditional WAF.
Runtime Protection That Lives Inside Your App
Zen runs directly inside your application rather than sitting in front of it. We found this approach delivers fast deployment with minimal performance impact. It automatically blocks SQL injection, command injection, and path traversal attempts while rate-limiting APIs to prevent brute force attacks.
The bot blocking capabilities handle modern threats well. You can block AI data scrapers, SEO spiders, and AI assistants with granular controls. The dashboard shows which bots attempted access and lets you restrict traffic by country or web location.
Developer Experience Gets High Marks
Engineers consistently praise the low-noise approach. The platform prioritizes actionable findings over flooding teams with false positives. Setup takes minutes through GitHub integration, and the AI-powered fix recommendations help developers understand what to address first.
Customers flag pricing flexibility as a gap. The jump from a two-user free tier to 350/month for ten users leaves smaller teams in an awkward spot. Some also want deeper configuration options for complex enterprise environments.
Best Fit for Growing Dev Teams
If your team needs consolidated AppSec tooling with modern runtime protection, Aikido delivers. We think it works best for small to mid-sized engineering teams that want security insights without the noise. Larger enterprises with complex compliance requirements may find the customization options limiting.
Strengths
- In-app runtime protection deploys quickly with low performance overhead
- Low false positive rate keeps developers engaged instead of ignoring alerts
- AI fix recommendations provide clear, actionable remediation guidance
- Bot blocking covers AI scrapers and modern automated threats
Cautions
- According to some user reviews, pricing tiers skip from two users to ten, leaving small teams underserved
- According to customer feedback, advanced reporting and policy customization limited for enterprise environments
CHEQ Essentials
CHEQ Essentials protects PPC campaigns from click fraud, fake impressions, and invalid traffic. The platform targets marketing teams running Google Ads who need to stop wasting budget on bot clicks and competitor abuse.
Real-Time Detection Across 2,000+ Behaviors
The platform examines every visit against over 2,000 behavioral signals to identify invalid traffic. We found the real-time blocking straightforward to deploy. Once active, it automatically excludes fraudulent IPs from your 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.
Mixed Signals on Value and Sales Approach
Long-term users praise the immediate impact. Many report noticeable budget savings within days of turning it on. The interface gets consistent marks for being clean and easy to navigate. Support teams help with onboarding and configuration.
Some customers flag the analytics as adequate but not deep enough for serious analysis. Others mention aggressive upselling from account teams. Bing campaign protection requires manual IP management, which adds operational friction.
Works Best for Google Ads Heavy Spenders
If you run significant Google Ads spend and suspect click fraud is eating your budget, CHEQ Essentials delivers measurable ROI quickly. We think the straightforward setup and real-time blocking justify the cost for most PPC-focused teams.
Strengths
- Real-time IP blocking works automatically once configured for Google Ads campaigns
- Behavioral analysis checks 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
- Some users have reported that bing protection requires manual IP exclusion management
- Based on customer feedback, 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 spend.
Fraud Detection Plus User Behavior Insights
The platform distinguishes between malicious and non-malicious invalid traffic. We found this granularity useful for understanding where budget actually leaks. Beyond blocking fraud, the data reveals user behavior patterns that help optimize campaigns.
Device ID tracking and ISP detection work around the clock to catch repeat offenders. The bot mitigation features block malicious traffic while preserving access for legitimate crawlers. Integrations with WordPress, Shopify, HubSpot, and other common platforms make deployment straightforward.
What Customers Are Saying
Users consistently report measurable savings within the first week. Many describe it as protection they didn’t know they needed. Chat support gets praise for helping teams design and adjust blocking rules.
The rule configuration can overwhelm teams who try to set everything up independently.
Strong Choice for Competitive Verticals
If you operate in industries where competitors actively click your ads, ClickGUARD delivers fast, visible ROI. We think the behavioral insights add value beyond basic fraud blocking for teams willing to tune their rules.
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
- Some customer reviews note that rule configuration complexity requires support assistance for most teams
- Based on customer reviews, youTube campaign protection 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 fits organizations already using Cloudflare’s network who need enterprise-grade bot protection without complex deployment.
Machine Learning Trained on Massive Scale
The detection engine assigns a bot score to every request using behavioral analysis, machine learning, and device fingerprinting. We found the scale advantage meaningful here. Training on billions of daily requests across Cloudflare’s network gives the models pattern recognition most standalone solutions lack.
Deployment requires no third-party JavaScript or complex configuration. If you already run traffic through Cloudflare, enabling bot management takes minutes. The platform works toward eliminating CAPTCHAs entirely using Private Access Tokens to challenge bots without friction for legitimate users.
Fast Results but Visibility Gaps
Teams report immediate impact after deployment. Credential stuffing, scraping attempts, and fake signups drop noticeably. Backend performance improves as malicious traffic stops consuming resources. The native integration means less operational overhead than bolting on separate bot solutions.
Some users want deeper traffic analysis capabilities.
Best for Cloudflare-Native Environments
If your infrastructure already runs through Cloudflare, this is the natural choice. We think the ML models and network-wide intelligence justify the investment for organizations facing serious bot pressure.
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
- Ultra low-latency defenses maintain application performance under bot attacks
- Private Access Tokens reduce reliance on CAPTCHAs for user verification
Cautions
- According to some user reviews, deep traffic analysis and investigation tools could be more granular
- Some users have noted that 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 2 milliseconds. The platform targets enterprises dealing with sophisticated scraping, credential stuffing, and automated attacks across web, mobile, and API surfaces.
Detection That Earns Industry Reputation
The ML engine analyzes 3 trillion signals daily with 99.99% accuracy. We found the detection quality impressive. At industry conferences, protected sites get mentioned as among the hardest to scrape. The platform distinguishes between sophisticated gray traffic and legitimate users without adding friction.
Deployment flexibility stands out. You can implement at the CDN, proxy, or server level with a client-side JavaScript tag. Audit mode lets you validate effectiveness before switching to active blocking. The managed SOC in enterprise pricing handles incidents without requiring your team’s involvement.
High-Touch Support With Premium Pricing
Long-term customers consistently renew. Many describe the partnership as transformational for IT operations. Dedicated Slack channels and responsive support make DataDome feel like an extension of your security team rather than a vendor.
Cost runs higher than alternatives. Some customers mention support response times stretch to a couple days for non-urgent issues. Multi-tenant management gets clunky if you secure many separate environments, and extracting large data volumes from the dashboard requires assistance.
Built for Enterprises Facing Sophisticated Threats
If you face advanced bot attacks that simpler tools miss, DataDome delivers. We think the detection accuracy and support partnership justify the premium for organizations where bot traffic directly impacts revenue.
Strengths
- ML engine processes requests in 2ms with near-perfect accuracy
- Audit mode validates detection before enabling active blocking
- Managed SOC handles incidents without requiring internal team involvement
- Flexible deployment from CDN level down to application code
Cautions
- According to customer feedback, premium pricing may not fit smaller teams or simpler use cases
- According to some user reviews, 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 and retail, plus airlines where bot attacks translate directly to financial losses and compliance risk.
AI Detection With Human Expertise Behind It
The platform combines rich signal collection with AI that analyzes massive traffic volumes to detect attacker retooling in real time. We found the hybrid approach notable. F5 pairs machine learning with human domain experts to build sustainable prediction models rather than relying on automation alone.
False positive rates run near zero according to F5’s claims. Advanced obfuscation prevents attackers from reverse engineering the detection logic. Prebuilt integrations and SIEM connectivity through Syslog make deployment faster than building custom implementations.
Enterprise-Grade With Long-Term Satisfaction
Long-term users describe the platform as speedy and reliable with continuous improvement over the years. Support teams get praise for responsiveness and efficient problem-solving. Security teams report faster threat response times after deployment.
The enterprise focus means this sits at the higher end of the market.
Right Fit for High-Stakes Bot Protection
If your organization faces sophisticated, persistent bot attacks with real financial consequences, F5 delivers enterprise-grade protection. We think the combination of ML and human expertise produces more durable defenses than pure automation.
Strengths
- Near-zero false positive rate protects legitimate user experience
- Human expertise combined with ML creates sustainable detection models
- Flexible deployment across legacy apps, modern cloud, and on-premises environments
- SIEM integration through Syslog fits existing security operations workflows
Cautions
- Some users mention that configuration depth requires security expertise to optimize effectively
- Based on customer reviews, platform capabilities assume mature security operations teams
Indusface AppTrana
Indusface AppTrana combines web application firewall capabilities with bot management for APIs and web apps. The platform targets organizations needing protection against account takeover, credential stuffing, and scraping with managed service support included.
Multi-Layered Detection With Managed Support
AppTrana layers static request analysis with behavioral detection to score each request against multiple bot modules. We found the adaptive security approach practical. The platform creates rules dynamically based on traffic patterns, reducing false positives without constant manual tuning.
The managed service component differentiates AppTrana from self-service alternatives. The Indusface team builds custom policies and adjusts protection levels based on your specific application needs. This white-glove approach helps teams without dedicated bot management expertise.
Long-Term Customers Stay Put
Users consistently praise the implementation experience. Onboarding happens quickly with minimal downtime, and POC support uses real production data so you see actual results before committing. Some customers have stayed over a decade, citing consistent protection and compliance support.
The platform continues expanding into attack surface management and API discovery. Dashboards provide actionable insights into protection status with quick remediation options. Customer service gets high marks for responsiveness and hands-on involvement.
What Customers Are Saying
If you need bot protection but lack the internal expertise to tune and maintain it, AppTrana’s managed model delivers. We think the combination of adaptive rules and human oversight works well for mid-market organizations.
Strengths
- Adaptive rules create protections dynamically based on real traffic patterns
- Managed service team builds custom policies for your specific applications
- Quick implementation with POC support using production data
- Platform expanding into API security and attack surface management
Cautions
- Some users mention that managed service model may feel restrictive for teams wanting full control
- According to some user reviews, 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.