Best Fraud Detection and Prevention Solutions
Compare the top fraud detection and prevention solutions on the market, with features like user verification and chargeback analysis.
Written by
Caitlin Harris
Technical Review by
Laura Iannini
Quick Summary
For title companies, law firms, and lenders moving large sums daily, CertifID verifies identities and validates wiring instructions with up to $1 million insurance per transaction and 24/7 crisis hotline with law enforcement engagement.
If you need to approve more legitimate orders while minimizing fraud losses, ClearSale pairs AI-driven detection with human analyst review and provides chargeback guarantee and financial coverage with fast onboarding across most e-commerce plugins.
For digital enterprises and fintechs operating at global scale, Fraud.net uses AI to detect and block fraud with granular rule engine customization and real-time risk scoring on every transaction, though rule changes often require contacting a representative.
Choosing a fraud detection platform means balancing security against user experience, too aggressive and you lose legitimate revenue, too lenient and fraud costs exceed what you prevented. The wrong pick hits your bottom line either way.
Most teams can handle finding a fraud tool. Finding one that fits your transaction model, risk profile, and tolerance for false declines is the harder call. You need something that catches fraud quickly, alongside adapts to new attack patterns and integrates with your existing payment and identity systems. Layer in compliance requirements like KYC and AML, and the complexity multiplies. Get it wrong, and you’re either blocking good customers or eating fraud losses.
We evaluated 10 fraud detection platforms across e commerce, fintech, and financial services environments, evaluating each for detection accuracy, false decline rates, integration depth and policy customization, plus operational complexity. We reviewed customer deployments and analyzed how well vendor marketing claims matched real world performance. What we found: fraud tools make different trade offs. Pure automation platforms minimize manual review but miss context. Human analyst models catch sophistication but introduce latency.
This guide gives you the testing insights and decision framework to match the right fraud solution to your transaction volume, risk model, and team capacity.
Our Recommendations
Your ideal platform depends on whether you’re managing wire fraud, e-commerce fraud, or global fintech risk.
- Best For Wire Fraud Prevention: CertifID verifies identities and validates payoff instructions directly for title companies, law firms, and lenders.
- Best For E-Commerce Hybrid Detection: ClearSale pairs AI-driven detection with human analyst review to approve legitimate orders and decline fraud.
- Best For Global Fintech Fraud Detection: Fraud.net delivers AI-driven fraud detection and blocking for digital enterprises and fintechs at global scale.
- Best For Payment Fraud Prevention: Kount, Stripe Radar provides machine learning-based fraud detection with chargeback protection for payment processors.
- Best For Account Takeover Prevention: NoFraud, Kount detects and prevents account takeover and identity fraud across digital properties using behavioral analysis.
CertifID
CertifID is a wire fraud prevention platform built for title companies, law firms, and lenders who move large sums daily. It verifies identities and validates banking details before wires go out, backed by up to $1 million in insurance per transaction.
Stopping Wire Fraud Before It Starts
The PayOff Protect feature confirms payoff wire instructions are legitimate before funds leave your account, cutting down on manual callback procedures. We found it addresses one of the most exploited steps in real estate closings without adding friction.
Wiring instructions go out through secure email or text, with recipients authenticating through a passwordless flow. We saw that it integrates cleanly with existing title and escrow software. If fraud does occur, a 24/7 crisis hotline provides federal law enforcement engagement and expedited bank account freezing.
What Teams Are Saying After Rollout
Customers say onboarding is quick and the daily experience stays simple. Support gets consistently high marks, with users flagging fast response times and dedicated account contacts as a differentiator. The ID verification process is straightforward enough that staff walk clients through it over the phone.
Some customers say requiring both a phone number and email to send wiring instructions slows things down when client contact info is incomplete. A few users have noted that less tech savvy recipients struggle with the link based verification step.
Strong Fit for High-Volume Transaction Teams
We think CertifID is a strong pick if your organization handles frequent, high-value wire transfers and needs to reduce fraud exposure without slowing closings. Title companies and escrow teams will get the most out of it.
Strengths
- Up to $1 million insurance per transaction provides a financial safety net against wire fraud.
- PayOff Protect validates payoff instructions directly, reducing manual callback procedures.
- 24/7 crisis hotline with law enforcement engagement speeds up fraud response and recovery.
- Passwordless recipient authentication keeps verification simple without adding login friction.
Cautions
- Some customer reviews flag that requires both phone number and email to send wiring instructions, which slows incomplete files.
- Some customer reviews note that less tech savvy recipients sometimes struggle with the link based verification process.
ClearSale
ClearSale is an e commerce fraud prevention platform that pairs AI driven detection with human analyst review to approve more legitimate orders while blocking fraudulent ones. It targets SMBs running card not present transactions across web, phone, and mail channels, with built in chargeback guarantees.
AI Plus Human Review Keeps Approval Rates High
The hybrid approach here is the differentiator. Automated scoring handles the bulk of transactions, and a human analyst team steps in for edge cases. We found this combination keeps false decline rates low, which matters if lost sales cost you more than fraud itself.
Chargeback protection includes financial coverage for losses and a guarantee for qualifying SMBs. The dashboard surfaces fraud trends and risk scores clearly, and we saw the onboarding process is fast. Most plugins install in about an hour through their API library.
Day to Day Feedback from Store Teams
Customers say ClearSale saves significant time by automatically screening every order. Users flag the platform as easy to pick up, with new team members getting productive quickly. Integration into existing e commerce workflows gets positive marks.
The main friction point customers raise is manual review speed. During peak order volumes, approvals take five to ten minutes, which creates delays. Some users have also flagged occasional service downtime and slow support response times when issues need resolving.
Built for SMBs Tired of Losing Revenue to False Declines
We think ClearSale is a strong fit if your e-commerce operation loses revenue to false declines or chargeback costs. The combination of AI scoring, human review, and financial guarantees covers the full fraud lifecycle for your team.
Strengths
- Hybrid AI and human review keeps false decline rates low, protecting legitimate revenue.
- Chargeback guarantee and financial coverage reduce your direct exposure to fraud losses.
- Fast onboarding with most e commerce plugins installing in about an hour.
- Clear dashboard surfaces fraud trends and risk scores without requiring analyst expertise.
Cautions
- Some users mention that manual reviews during peak volume can delay order approvals by five to ten minutes.
- According to customer feedback, Occasional service downtime reported, though typically resolved quickly.
Fraud.net
Fraud.net is a cloud based fraud management platform built for digital enterprises and fintechs operating at global scale. It uses AI to detect and block fraud in real time, with configurable rules, KYC/AML workflows, and case management analytics baked in.
Configurable Rules That Adapt to Your Risk Profile
The rule engine is the core strength here. You write and layer rules that map to your specific transaction patterns, and the AI enriches decisions with data from billions of sources. We found this effective for teams that want granular control over what gets flagged versus auto approved.
Beyond transaction scoring, the platform covers identity verification through IP, email, and social media signals along with multi factor authentication. We saw that real time risk scores on every transaction give your compliance team actionable data without waiting on batch reports.
What Compliance and Risk Teams Report
Customers say implementation is fast and the interface is clean. Users flag that custom rules tailored to their business type save real money over time. The support team gets strong marks for responsiveness during onboarding and ongoing operations.
Where customers push back is on integration flexibility.
What Customers Are Saying
We think Fraud.net is a solid choice if your organization needs deep rule customization and real-time transaction scoring at global scale. Compliance-heavy fintechs and digital enterprises with complex risk profiles will get the most value.
Strengths
- Granular rule engine lets you tailor fraud detection to your specific transaction patterns.
- Real time risk scoring on every transaction gives compliance teams immediate, actionable data.
- Fast implementation with responsive support during onboarding and ongoing use.
- KYC/AML workflows and identity verification built into the same platform.
Cautions
- Some users have noted that rule changes often require contacting a representative rather than self service editing.
- Based on customer reviews, Integration with third party tools takes effort and may feel disconnected from other workflows.
Kount
Kount’s Identity Trust Platform is an AI driven fraud detection and prevention solution built for enterprises processing high volumes of digital payments. It blocks fraudulent transactions and account takeovers in real time, with customizable policy rules and automated approval workflows.
AI Powered Decisions With Granular Policy Control
The platform automates payment decisions based on preconfigured policies, which frees your team from manual transaction review. We found the rule customization deep enough to map to specific risk profiles across different markets and transaction types.
Machine learning pulls from a global threat intelligence network to flag suspicious activity. We saw the dashboard presents risk scores clearly, making approve, decline, or escalate decisions straightforward. Background checks on customer chargeback history add another layer before transactions complete.
What Customers Are Saying
Customers say Kount reduces chargebacks and helps identify synthetic identities early, building a more trustworthy customer base. Users flag the dashboard as easy to read and the custom rules as effective at cutting false declines while keeping protection tight.
The consistent criticism customers raise is around configuration complexity.
Enterprise-Grade Fraud Prevention for High-Volume Operations
We think Kount is a strong fit if your organization processes large transaction volumes and needs granular fraud policy control. The combination of AI scoring, global threat data, and automated decisions handles scale well.
Strengths
- Automated payment decisions reduce manual review workload and speed up order processing.
- Custom policy rules let you tailor fraud detection to specific markets and risk profiles.
- Global threat intelligence network strengthens detection of emerging fraud patterns.
- Clean dashboard with clear risk scores makes transaction decisions fast and intuitive.
Cautions
- Some users report that rule configuration is complex and time intensive, requiring dedicated fraud operations resources.
- According to some user reviews, Aggressive detection can flag legitimate orders, leading to false positives that need manual review.
NoFraud
NoFraud is a fraud detection platform that integrates directly with e commerce platforms to screen transactions using AI and human analyst review. It targets small to mid market online retailers who want hands off fraud protection backed by a 100% financial chargeback guarantee.
Hands Off Screening With a Full Chargeback Guarantee
The platform analyzes hundreds of data points per transaction, combining AI scoring with a trained analyst team available 24/7. We found the workflow practically eliminates manual order review. Good orders auto approve, risky ones get flagged, and voided orders cancel before shipment.
The 100% chargeback guarantee shifts financial liability off your business for approved orders. We saw that customizable block and allow lists give you control over trusted customers and known bad actors. Real time identity verification covers email, text, and voice.
What E Commerce Teams Say After Go Live
Customers say setup is fast and the daily experience requires minimal effort. Users flag that the platform catches fraud accurately without blocking legitimate sales, a persistent problem with prior solutions. The chargeback protection gives teams confidence to fulfill orders quickly.
The most common criticism customers raise is limited transparency into decision logic. Users want clearer breakdowns of why orders get flagged. Some have also noted the dashboard loads slowly during peak hours and that legitimate orders occasionally trigger extra verification.
Low-Friction Fraud Protection for Growing Online Stores
We think NoFraud is a strong pick if your e-commerce team needs accurate fraud screening without dedicating staff to manual review. The chargeback guarantee removes financial risk on approved orders, which is a real differentiator.
Strengths
- 100% chargeback guarantee shifts fraud liability off your business for all approved orders.
- Auto approval workflow eliminates manual transaction review for the vast majority of orders.
- Fast setup with out of the box e commerce integrations and no setup fees.
- Customizable block and allow lists let you manage trusted customers and known risks directly.
Cautions
- Based on customer feedback, According to some customer reviews, limited transparency into why specific orders are flagged or declined.
- Some customer reviews highlight that dashboard can load slowly during peak transaction periods.
Prove Identity
Prove is a phone centric identity verification platform built for financial institutions onboarding customers at scale. It uses mobile signals to passively verify identity, eliminating passwords and OTPs while feeding trust scores into fraud and risk decisions.
Passwordless Verification Through Mobile Phone Signals
Mobile Auth handles authentication passively on logins and signups, removing the need for passcodes or PINs entirely. We found this approach reduces onboarding friction significantly. Pre populated application forms with verified identity data speed up the signup funnel even further.
Trust scores from contextual analysis give your risk team a signal on each user before transactions proceed. The platform includes KYC with AML checks, sanctions screening, and PEP screening across 14 languages. We saw this positions it well for multi country operations.
What Financial Services Teams Are Saying
Customers say onboarding is easy and the prefill capabilities make a measurable difference in conversion rates. Users flag the support team as responsive and proactive, with clean API documentation that keeps developer integration straightforward. The partnership experience gets consistently positive marks.
Some customers say they lack visibility into the full feature set and available add on services. Users have also noted that mobile carrier coverage gaps exist, and occasional certificate changes have disrupted SMS services for some teams.
Best for Financial Institutions Prioritizing Frictionless Onboarding
We think Prove is a strong fit if your organization needs to verify identities quickly across global markets without adding friction that kills conversion. Financial services and lending teams running high-volume onboarding will get the most from this platform.
Strengths
- Passive mobile authentication removes passwords and OTPs, cutting onboarding friction significantly.
- Pre filled application forms with verified data speed up signup funnels and boost conversion.
- Global KYC coverage with AML, sanctions, and PEP screening across 14 languages.
- Clean API documentation and responsive support make developer integration straightforward.
Cautions
- Some users have reported that mobile carrier coverage does not extend to every US provider, creating verification gaps.
- Some users report that feature visibility is limited, leaving some teams unaware of available add on services.
Riskified
Riskified is an e commerce risk management platform that uses machine learning to screen payments, approve orders, and block fraud in real time. It cross references over a billion historical transactions across its merchant network, with 24/7 risk analysts adjusting thresholds alongside the AI.
Deep Data Intelligence Across a Massive Transaction Network
The platform collects device data and behavioral signals, cross referencing them against its merchant network to score each transaction. We found the analysis depth a step above simpler screening tools. Autonomous AI monitors traffic to flag anomalies and surface emerging threats.
The control center provides real time dashboards with performance data and behavioral trends. We saw that order decisions come with clear breakdowns of why an order passed or failed. Fraud analysts are available to assist on edge cases.
How E Commerce Teams Rate the Day to Day
Customers say implementation is smooth and the platform integrates well with e commerce stacks like Shopify. Users flag measurable reductions in chargeback rates alongside improved approvals. Support gets high marks for responsiveness during rollout and ongoing operations.
Some customers say advanced customization requires support involvement rather than self service configuration.
Built for E-Commerce Teams Running Global Payment Operations
We think Riskified is a strong fit if your e-commerce operation processes high order volumes and needs AI-driven fraud screening backed by human analysts. The merchant network data gives you detection intelligence standalone tools cannot match.
Strengths
- Billion transaction merchant network provides deep cross referencing intelligence for fraud scoring.
- Real time control center with clear order decision breakdowns reduces investigation time.
- 24/7 risk analysts adjust thresholds and assist with edge cases alongside the AI.
- Smooth implementation with strong e commerce platform integrations, including Shopify.
Cautions
- According to customer feedback, Advanced customizations require support involvement rather than self service configuration.
- Some customer reviews note that AI model performance drops in non Western markets where training data is limited.
SEON
SEON is a modular fraud detection platform combining real time scoring with data enrichment from email, phone, social media, IP, and device signals. It targets SMBs needing transparent fraud prevention with flexible policy control and a free tier to start.
Transparent Scoring With Granular Rule Control
The rules engine lets your team build and tweak detection logic without developers. We found the transparency standout: you see exactly why a score was assigned, which builds trust and speeds up decisions. Behavioral analytics use scoring algorithms and velocity parameters to catch patterns.
Data enrichment pulls context from digital accounts, social profiles, and device fingerprints in real time. We saw the AML KYC, alongside email profiling and IP analysis modules work independently, so you activate what you need. Pro starts at $299/month, with a free tier available.
What Customers Are Saying
Customers say the interface is easy to pick up across teams with varying technical skill. Users flag real time monitoring and quick rule setup as strengths. Support gets high marks for speed and helpfulness.
The main friction customers raise is rule management at scale.
A Strong Starting Point for SMBs Building Fraud Operations
We think SEON is a strong fit if your team needs transparent fraud scoring with flexibility to start small and scale. The modular design and free tier lower the barrier, and the rules engine gives you control without developers.
Strengths
- Transparent scoring shows exactly why each decision was made, building team trust in the system.
- Modular design with a free tier and $299/month Pro plan lowers the barrier to entry.
- Rules engine lets fraud teams build and adjust logic without developer involvement.
- Real time data enrichment from email, phone, social, IP, and device signals adds strong context.
Cautions
- Some users mention that rule management interface gets cluttered at scale without strong grouping or tagging features.
- Some users report that no easy way to suppress repeat alerts without whitelisting users from the triggering rule.
Sift Digital Trust & Safety Platform
Sift is a consolidated fraud detection platform that blends payment protection, content integrity, dispute management, and passwordless authentication into a single stack. It processes over 70 billion monthly events across 34,000 sites, powered by machine learning and a global decision engine.
ML Decisions Backed by a Massive Data Network
The decision engine uses machine learning trained on billions of events to block fraud in real time. We found the customization deep: you connect multiple data sources and build fraud policies through an efficient dashboard. Passwordless authentication simplifies the user experience without sacrificing security.
Risk investigators get detailed scoring with visibility into device linkages, IP locations, order history, and cross customer connections. We saw this level of detail helps teams justify decisions quickly and prioritize high risk cases without getting buried in false positives.
What Customers Are Saying
Customers say the platform is intuitive and the documentation well structured, which helps new users ramp up quickly. Users flag the customizable rules engine and clear dashboards as strengths for investigation workflows. Support is responsive when issues come up.
Some customers say data exports can be inconsistent, with records occasionally missing during downloads.
Built for Fintech and E-Commerce Teams Scaling Fraud Operations
We think Sift is a strong fit if your organization needs a consolidated fraud platform that scales with transaction volume. The data network and ML engine give you detection intelligence that improves as your volume grows.
Strengths
- Global data network processing 70 billion monthly events strengthens ML driven fraud detection.
- Detailed risk scoring with device, IP, and cross customer visibility speeds up investigations.
- Highly customizable policy engine connects to multiple data sources for tailored fraud rules.
- Passwordless authentication reduces user friction while maintaining strong security posture.
Cautions
- Some customer reviews note that advanced features require significant configuration and fine tuning to reach optimal performance.
- Based on customer reviews, Data exports can be inconsistent, with records occasionally lost during downloads.
Signifyd
Signifyd is an e commerce fraud prevention platform offering revenue protection, abuse prevention, and payment compliance. Its machine learning automates transaction decisions and backs approved orders with a financial guarantee against chargebacks.
Automated Decisions With a Financial Guarantee Behind Them
The ML engine makes instant approve or decline decisions, eliminating the need for manual order review. We found this shifts your team’s focus from screening transactions to driving revenue. The financial guarantee means if an approved order turns out to be fraudulent, Signifyd covers the chargeback.
The agent console lets investigators dig into why a transaction was approved or denied. We saw that insight reporting breaks down performance across geographies, product lines, and payment methods. Auth rate optimization and SCA exemption management round out the payment compliance side.
What Fraud Analysts and E Commerce Teams Report
Customers say the guarantee eliminates the burden of manual review and lets them ship approved orders with confidence. Users flag the Power Search tool and evolving UI as strengths that keep improving accuracy over time. Multiple teams report zero fraudulent orders shipped over extended periods.
The consistent criticism customers raise is limited algorithmic transparency. Analysts want more visibility into how scoring decisions are made. Some users have also noted slow technical support on complex questions and a learning curve with the dashboard.
Ideal for E-Commerce Teams That Want Hands-Off Fraud Protection
We think Signifyd is a strong fit if your e-commerce operation wants to eliminate manual review entirely and shift fraud liability off your books. The financial guarantee is the clearest differentiator for your risk calculation.
Strengths
- Financial guarantee covers chargebacks on approved orders, shifting fraud liability off your business.
- Instant ML driven decisions eliminate manual order review, freeing team resources for revenue work.
- Insight reporting breaks down fraud performance by geography, product line, and payment method.
- Continuous platform evolution with UI updates and new intelligence points improving over time.
Cautions
- Some users have noted that limited algorithmic transparency makes it hard for analysts to understand scoring decisions.
- According to some user reviews, Technical support response times can be slow, especially on complex or urgent questions.
What To Look For: Fraud Detection Checklist
When evaluating fraud detection platforms, we’ve identified eight essential criteria. Here’s the checklist of questions you should be asking:
- Detection Accuracy Versus False Declines: What’s the false decline rate? How much legitimate revenue do you lose to blocked good orders? Does the vendor measure false declines or only catch rates? How does their accuracy compare in your specific vertical?
- Response Speed and Manual Review: Does the platform make instant decisions or require human review? If humans are involved, what’s the approval latency? Can you configure thresholds to reduce manual review for low risk transactions? What happens during peak traffic?
- Policy Customization and Flexibility: Can you define rules without coding? How granular can you get, geography, device type, transaction amount, customer history? Can admins adjust policies in real time or does change require developer intervention? Do policies adapt to new fraud patterns automatically?
- Integration Coverage: Does it integrate with your payment processors, e commerce platform, and identity systems? Is integration native or through APIs? How much work does your team need to do versus vendor provided connectors? Can it handle your specific transaction channels (online, phone, mail)?
- Transparency and Explainability: Can you see why an order was flagged or approved? Do analysts get detailed scoring breakdowns? Can you access raw data for internal analysis? Does the vendor hide decision logic as a black box?
- Compliance and Reporting: Does it include KYC, AML, and sanctions screening? Can you generate audit trails for regulators? What data retention and GDPR compliance guarantees does it provide? Can you export data for your own analysis?
- Cost Model and Guarantees: Is pricing per transaction, subscription, or hybrid? What happens if fraud costs exceed your platform investment? Do guarantees cover chargebacks or only specific fraud types? Are there hidden premium features behind higher tiers?
- Support and Incident Response: What SLA do you get for fraud issues? Does support include incident response advice or just technical help? Are analysts available to consult on high value transactions? Check third party reviews for consistency, support quality varies significantly.
Weight these criteria based on your revenue model. E commerce teams should prioritize false decline rates and integration ease. Payment processors should focus on policy customization and compliance. Fintech companies should evaluate transparency and regulatory support carefully.
How We Compared The Best Fraud Detection and Prevention 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, identifying active vendors from market leaders to emerging challengers.
We evaluated 10 fraud detection platforms across e commerce, fintech, and financial services use cases. We assessed detection accuracy, false decline rates, response time, policy customization depth, integration flexibility, and operational complexity. Each platform was evaluated based on real world performance, alongside customer experience and the accuracy/friction tradeoffs vendors make.
Beyond hands on testing, we conducted extensive market research and reviewed customer feedback, operational deployments, and published case studies to validate vendor claims. We spoke with product teams to understand fraud detection approaches, alongside policy engine designs 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
No single fraud detection solution fits every use case. Your choice depends on whether you value full automation, false decline tolerance, policy customization, or compliance coverage.
For e commerce teams balancing fraud prevention with revenue, ClearSale and NoFraud both deliver strong results. ClearSale provides human review for complex cases; NoFraud eliminates manual review entirely. Both include chargeback guarantees.
For high volume payment operations requiring granular policy control, Kount and Fraud.net both excel. Expect to invest in upfront configuration and ongoing tuning.
For financial services wire fraud prevention, CertifID provides insurance backed protection with per transaction guarantees. The 24/7 crisis response and law enforcement engagement add practical value.
For global scale e commerce, Riskified uses massive transaction network data. Verify regional performance before committing if your markets sit outside North America and Europe.
For SMBs building fraud operations from scratch, SEON and Sift both start small and scale. SEON emphasizes transparency; Sift focuses on investigation depth as you grow.
Read the individual reviews above to dig into detection accuracy, integration requirements, and the transparency/automation tradeoffs that matter for your business model.
Written By
Caitlin Harris is the Deputy Head of Content at Expert Insights. As an experienced content writer and editor, Caitlin helps cybersecurity leaders to cut through the noise in the cybersecurity space with expert analysis and insightful recommendations.
Prior to Expert Insights, Caitlin worked at QA Ltd, where she produced award-winning technical training materials, and she has also produced journalistic content over the course of her career.
Caitlin has 8 years of experience in the cybersecurity and technology space, helping technical teams, CISOs, and security professionals find clarity on complex, mission critical topics like security awareness training, backup and recovery, and endpoint protection.
Caitlin also hosts the Expert Insights Podcast and co-writes the weekly newsletter, Decrypted.
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.