Technical Review by
Laura Iannini
Exposure management solutions provide continuous discovery and risk assessment of an organization’s attack surface — identifying assets, vulnerabilities, and exploitable paths that attackers could use. You cannot prioritize what you cannot see, and attack surface visibility is the foundation of any effective security program. We reviewed the top platforms and found Edgescan Attack Surface Management, Discovery Without Artificial Limits, and Where It Fits Best to be the strongest on asset discovery breadth and risk-to-remediation guidance quality.
Choosing the right exposure management solution is harder than it should be. The market is crowded with vendors promising more than they deliver, and the wrong selection means either overpaying for capabilities you don’t use or deploying something that creates more work than it solves.
The real challenge isn’t finding a exposure management tool—it’s finding one that integrates with your environment without requiring a complete infrastructure overhaul. You need something that plays well with your existing stack, scales with your team, and delivers real value from day one. Get it wrong, and you’re stuck with expensive licenses, frustrated teams, and capabilities that don’t align with your actual needs.
We tested multiple solutions in this category across diverse deployment scenarios, evaluating each for integration flexibility, operational overhead, ease of deployment, and real-world usability. We reviewed customer feedback and implementation experiences to understand where vendor marketing diverges from operational reality. What we found: the gap between glossy datasheets and what actually works in production environments is significant.
This guide gives you the testing insights and decision framework to match the right solution to your specific infrastructure, team size, and business requirements.
Your ideal exposure management solution depends on your infrastructure complexity, integration requirements, and team expertise. Here’s how to narrow the field.
For Organizations Prioritizing Ease of Deployment: Look for solutions that minimize infrastructure overhead and don’t require extensive integration work. These favor teams with limited resources for complex deployments.
For Environments with Complex Integration Needs: Choose platforms with broad API coverage, pre-built integrations, and flexible deployment options. These suit larger organizations managing diverse infrastructure.
For Teams with Limited Support Resources: Prioritize solutions with strong vendor support, clear documentation, and active user communities. These reduce the burden on stretched IT teams.
For Budget-Conscious Organizations: Evaluate total cost of ownership carefully, including licensing, support, and infrastructure needs. Some lower-priced options deliver surprising value when their feature set matches your needs.
Edgescan ASM maps your public-facing infrastructure and finds what’s exposed before attackers do. It’s built for security teams managing multi-cloud environments who need continuous visibility without manual asset inventory headaches.
We found the unlimited investigation capability handles sprawling infrastructures without per-asset pricing surprises. It discovers APIs, subdomains, and certificates automatically, then analyzes TLS configurations and HTTP headers to surface misconfigurations. The platform doesn’t gate discovery behind scan quotas like competitors.
The one-click asset addition to your CTEM program eliminates export and import busywork. We saw this save time versus tools that dump CSV files for manual processing. The AI Insights feature provides real-time tactical advice that adds context beyond generic CVSS scores.
Customers consistently highlight the human-validated approach to findings. Users say this reduces false positives compared to purely automated ASM tools. The detailed vulnerability context helps teams prioritize actual risks instead of chasing phantom issues. Some customers mention scan times feel longer than expected, particularly for retesting. A few note initial setup required support help, though they praise the team\’s responsiveness.
If you’re managing assets across multiple clouds and want attack surface visibility that scales predictably, we think Edgescan ASM delivers solid value. The combination of automated discovery and human validation works well for compliance programs like ISO 27001 that demand documented vulnerability processes. It’s less suited for teams wanting instant on-demand retesting or completely self-service deployment. But if accuracy matters more than speed, that’s a reasonable trade-off.
NordStellar monitors the dark web and external attack surface to catch credential leaks and brand impersonation before they turn into breaches. It’s designed for mid-sized to large enterprises that want proactive threat exposure management instead of playing catch-up after incidents.
We found NordStellar’s dark web monitoring goes beyond basic keyword alerts. It tracks business terms across hacker forums, marketplaces, and Telegram channels to surface leaked credentials and brand mentions. The platform scans infostealer logs and breach databases continuously. The cybersquatting detection uses content similarity algorithms to catch impersonation attempts. Setup is straightforward—plug in your domain and monitoring starts. We saw the platform maps external assets like open ports and identifies public-facing vulnerabilities without complex configuration.
Users consistently praise the real-time alerts and big data analysis for surfacing risks from lesser-known sources. Customers say the 24/7 scanning provides insights into environments they can’t directly control, like dark web forums and breach databases. The team’s responsiveness to feedback gets repeated mentions. Users note the platform improved noticeably over a short period with new sources added and usability enhancements. Some customers want more advanced features, though they appreciate the focus on solid core capabilities over half-baked additions.
If you’re tired of learning about credential leaks from third-party breach notifications, we think NordStellar shifts the balance toward proactive detection. The combination of dark web monitoring and brand protection works well for organizations concerned about both infrastructure exposure and reputation damage. It’s less suited for teams wanting deep technical analysis of each threat or customized hunting capabilities. But if your priority is catching exposures early with minimal operational overhead, that’s where NordStellar excels.
Censys Exposure Management maps your attack surface from an attacker’s perspective, covering acknowledged assets, shadow IT, and internet-exposed infrastructure. It\’s built for security teams managing complex environments who need discovery, prioritization, and remediation in a single workflow.
We found the continuous multi-perspective scanning catches unknown assets that slip past traditional inventories. The platform scans across 300+ risk fingerprints daily and transforms raw telemetry into dashboards that show trends at a glance. This beats manually correlating exposure data from multiple tools.
The rapid response feature delivers emergency vulnerability intelligence within 24 hours of public disclosure. We saw the API handles custom use cases well, from exposure-specific alerts to statistical analysis. The risk triage updates daily and provides remediation recommendations with enough context to make decisions without hunting for additional research.
Customers consistently highlight the complete visibility into their digital footprint. Users say the platform discovers risks they didn’t know existed and proves valuable during both incidents and proactive investigations. The Cloud Connector simplifies initial seeding and ongoing scans. Some customers note the platform doesn’t automatically detect when seed data becomes stale, requiring manual cleanup. A few want more granular bucket categorization and the ability to convert search queries directly into risk types for easier tracking.
If you manage distributed environments with shadow IT problems and need an attacker’s-eye view of exposure, we think Censys delivers strong discovery capabilities. The combination of automated scanning and detailed remediation guidance works well for teams handling both reactive incidents and proactive hunts.
It’s less suited for teams wanting fully automated asset lifecycle management or those needing zero manual intervention. But the visibility and API flexibility make the occasional cleanup worthwhile for most security programs.
CrowdStrike Falcon Exposure Management uses AI to prioritize vulnerabilities by risk and discover assets across endpoints, workloads, IoT/OT, and applications. It\’s designed for security teams already invested in the CrowdStrike ecosystem who want exposure management integrated with their existing endpoint protection.
We found the AI-powered risk scoring reduces alert fatigue by focusing remediation on exploitable vulnerabilities rather than every CVE. The platform provides real-time visibility into misconfigurations with CIS benchmark compliance evidence. Predictive attack path mapping shows lateral movement opportunities before attackers exploit them.
The threat intelligence integration catches active exploits quickly. We saw the single-click vulnerability overview simplifies reporting across managed and unmanaged assets. The Falcon Fusion SOAR integration automates response actions for teams wanting unified workflows.
Users praise the real-time asset discovery and proactive security gap recommendations. Customers say the weighted prioritization and vulnerability groupings help focus remediation efforts. The Falcon Dashboard integration works smoothly for teams already using CrowdStrike products.
Some customers note false positives, particularly with printers and IP cameras appearing as unmanaged assets. The initial setup requires security policy expertise and proper fine-tuning to avoid excessive alerts. Users mention the interface could provide more granular vulnerability details and that patching requires CSV exports to separate systems.
If you’re already running CrowdStrike endpoint protection and want exposure management without adding another vendor, we think Falcon Exposure Management makes operational sense. The shared threat intelligence and dashboard integration eliminate context switching for SOC teams.
It’s less ideal for organizations wanting simple out-of-the-box deployment or those without CrowdStrike expertise on staff. But if you’re committed to the platform and can invest in proper tuning, the AI prioritization delivers real value.
Cymulate combines vulnerability scanning, attack surface discovery, and continuous threat simulation to test security controls before attackers do. It’s designed for security teams that want to validate defenses through automated red-teaming across on-premises, cloud, and hybrid environments.
We found the continuous automated attack simulations test real-world scenarios without disrupting operations. The platform simulates phishing, lateral movement, data exfiltration, web gateway attacks, and full kill chain scenarios. Tests run against your actual environment rather than theoretical models.
The MITRE ATT&CK mapping provides actionable remediation guidance with one-click retesting to verify fixes. We saw the platform centralizes validation across applications, email, web gateways, EDR, WAF, and attack surface. The exposure analytics baseline your security posture over time with executive reporting that shows measurable risk reduction.
Users consistently praise the realistic simulations and clear remediation priorities that make decision-making straightforward. Customers say the continuous validation approach improves security posture without operational disruption. The platform’s ability to test multiple attack vectors quickly gets repeated mentions. Some customers note ASM findings need better validation accuracy. The initial learning curve feels moderate for teams new to breach and attack simulation platforms. Users mention advanced scenario configuration requires technical adjustments, and detailed reports can overwhelm beginners despite providing valuable depth.
If you want to validate whether your security stack actually stops attacks rather than just reviewing configuration settings, we think Cymulate’s simulation approach provides practical answers. The automated testing and MITRE-mapped guidance work well for teams measuring security program effectiveness over time.
It’s less suited for organizations wanting simple vulnerability scanners or those without time to tune advanced scenarios. But if proving security control efficacy matters to your program, the simulation depth justifies the setup investment.
Detectify is an EASM platform combining surface monitoring with deep application scanning for AppSec and ProdSec teams. It’s built for organizations managing custom web applications who want continuous vulnerability detection powered by crowdsourced threat research.
We found Surface Monitoring provides continuous discovery and supervision of all internet-facing assets with custom rule setting for focused monitoring. The platform includes remediation tips, tagging, and filtering to prioritize findings. This handles the broad attack surface visibility piece.
Application Scanning goes deeper into custom-built apps with an optimized security crawler, advanced fuzzing capabilities, and authenticated testing. We saw the fingerprinting feature tailors security tests to your specific tech stack rather than running generic scans. The rich APIs and connectors automate testing workflows without manual intervention.
Users consistently highlight the easy setup and deployment process that integrates smoothly with DevOps workflows. Customers say the continuous vulnerability scanning accuracy is solid and the crowdsourced research keeps threat detection current. The platform nearly fully automates web application security testing, increasing both coverage and testing frequency.
Some customers mention recent difficulties setting up scanners, though the product works well once configured. Users note occasional false positives and the lack of built-in issue tracking for vulnerability management workflows. A few raise pricing concerns without additional context.
If you’re building custom applications and want automated security testing that doesn’t require constant manual effort, we think Detectify’s combination of surface monitoring and deep scanning delivers practical coverage. The crowdsourced research model keeps testing current as new attack techniques emerge.
It’s less ideal for teams wanting integrated ticketing workflows or those needing flawless scanner setup. But if automation and accuracy matter more than edge case convenience, the platform handles core AppSec needs well.
Flare monitors dark web forums, Telegram channels, and archived marketplaces to catch leaked credentials, fraud activity, and impersonation attempts before they become incidents. It’s designed for security and fraud teams that want external exposure intelligence integrated into existing response workflows.
We found Flare tracks over 58,000 Telegram channels, hundreds of dark web forums, and archived marketplaces to surface credential leaks and account abuse early. The platform alerts on look-alike domains, impersonation attempts, and third-party exposure risks. This coverage goes beyond typical surface web monitoring.
The automated credential detection integrates with identity systems like Microsoft Entra ID to revoke compromised access immediately. We saw the platform identifies data from past publications even after content disappears from original sources. The integrated export capabilities support automation without manual data handling.
Users praise the actionable alerts that provide clear guidance on next steps. Customers say the platform brings information straight to the point for implementing compensating controls. The leaked credentials and ransom leak monitoring get repeated mentions as particularly useful features. Support quality consistently earns high marks.
Some customers note the interface requires time to learn, particularly for GUI-only users. Documentation could include more examples for better understanding, especially around elastic search integration and advanced features.
If you’re managing external exposure risks beyond your network perimeter and want dark web intelligence feeding directly into security operations, we think Flare delivers practical value. The combination of broad monitoring coverage and identity system integration works well for teams handling both security incidents and fraud prevention.
It’s less ideal for teams wanting instant platform mastery or comprehensive documentation with extensive examples. But if early credential leak detection matters to your program, the learning curve pays off quickly.
Mandiant Advantage Attack Surface Management discovers and analyzes internet-connected assets across distributed environments while monitoring digital supply chains beyond third and fourth-party providers. It’s designed for security teams managing complex operations like M&A where attack surface visibility matters during rapid infrastructure changes.
We found the digital supply chain monitoring extends deeper than typical vendor risk platforms. The platform maintains an up-to-date vendor inventory for compliance and conducts external security posture assessments for each supplier. This matters during acquisitions when inherited vendor relationships create unexpected exposure.
The asset inventory tracks composition, technologies, and configurations while continuously identifying unmanaged assets entering your environment. We saw the platform leverages NVD and CISA’s Known Exploited Vulnerability catalog to check exposure. The live IOC feed identifies attack techniques and tactics, reducing investigation time when you’re responding to incidents.
Users praise the full context provided, including where information was found and access to raw data uploaded to the internet. Customers say the MITRE technique classification and playbook integration speed up incident response. The in-depth traffic analysis through Mandiant integration with EDR gets positive mentions.
Some customers note data visualization becomes clogged and requires effort to understand, particularly around collaboration features. The platform can generate noisy false positives for widely recognized companies, requiring additional filtering and tuning.
If you’re managing distributed infrastructure with complex supply chains or handling M&A integration where inherited attack surface creates risk, we think Mandiant’s depth in supply chain monitoring and asset discovery provides valuable coverage. The threat intelligence integration works well for teams doing incident response alongside exposure management.
It’s less ideal for smaller operations wanting simple visualization or those without resources to tune false positives. But if supply chain depth and threat intelligence context matter to your program, the platform delivers enterprise-grade capabilities.
Microsoft Defender EASM provides real-time visibility into internet-facing assets across cloud, SaaS, IaaS, and shadow IT environments. It’s designed for security teams already invested in the Microsoft ecosystem who want attack surface management integrated with Defender for Cloud, Sentinel, and XDR.
We found the always-on inventory monitoring discovers external resources continuously, including frameworks, web pages, and code-level components. The platform excels at finding forgotten domains and misconfigured endpoints that create exposure. This matters for organizations where shadow IT and legacy services accumulate over time.
Every discovered resource feeds directly into the Defender for Cloud portal for unified management. We saw the integration with Microsoft’s security stack eliminates tool switching for teams managing vulnerabilities across multiple platforms. The code-level discovery provides granular visibility beyond basic asset inventories.
Users consistently praise the tool’s ability to find unmanaged and unknown components that cause security issues. Customers say it identified multiple forgotten domains and misconfigured endpoints within the first few weeks. The integrated dashboards that surface vulnerabilities get positive mentions from teams managing complex environments.
Some customers note the initial asset classification feels complex and requires time to understand properly. Dashboards can slow with larger inventories and generate noise requiring filtering. Users mention UI changes cause usability issues and the interface needs clearer distinction between paid and non-paid features.
If you’re running Microsoft’s security stack and want attack surface visibility without adding another vendor, we think Defender EASM makes operational sense. The native integration and unified portal work well for teams standardized on Microsoft tooling.
It’s less compelling for multi-vendor shops or those wanting best-in-class standalone EASM. But if you’re committed to Microsoft security infrastructure, the seamless integration justifies the middle-of-pack positioning.
Palo Alto Prisma Cloud identifies and mitigates internet exposure risks across AWS, Azure, and Google Cloud with continuous asset discovery and security posture monitoring. It’s designed for multi-cloud security teams managing complex environments who need unified visibility without switching between cloud-specific tools.
We found the External Asset Discovery continuously monitors internet-exposed assets and identifies rogue cloud resources across all major platforms. The platform detects exploitable vulnerabilities in remote access points like insecure SSH and LDAP, plus risks in web applications, Kubernetes APIs, and publicly exposed databases.
Prisma Cloud evolved from multiple acquisitions including RedLock, Twistlock, Aporeto, and Puresec unified under one product. We saw the platform provides accurate insights across cloud subscriptions and integrates with ITIL tools for incident management. The visibility helps during M&A scenarios when inherited cloud infrastructure creates unexpected exposure.
Users praise the comprehensive asset visibility and strong workload protection across multi-cloud environments. Customers say the platform gives accurate cloud subscription insights and clear details on issues requiring changes. Teams using multiple cloud providers appreciate the unified coverage.
Some customers report implementation and maintenance challenges, particularly in custom or heterogeneous environments requiring significant planning time. False positive rates concern several users. Support quality receives mixed feedback, with some mentioning resolution delays and decreasing product attention from the vendor.
If you’re managing security across AWS, Azure, and Google Cloud and want consolidated posture management, we think Prisma Cloud delivers practical multi-cloud coverage. The unified platform works well for organizations standardized on major cloud providers.
It’s less ideal for heterogeneous environments or teams needing responsive vendor support and low false positive rates. But if you can invest deployment time upfront, the multi-cloud visibility provides long-term value.
When evaluating solutions in this category, we’ve identified essential criteria. Here’s the checklist of questions you should be asking:
Deployment Flexibility: Does the solution support cloud, on-premises, or hybrid deployment? How long does deployment actually take? Does it require significant infrastructure changes?
Integration Capabilities: How many pre-built integrations ship out of the box? Does it support REST APIs for custom integrations? Does it work with your existing tools without special workarounds?
Scalability and Performance: Does the solution scale to your current environment size? What happens when you grow? Are there performance degradation points you should know about?
User Experience and Learning Curve: How intuitive is the interface for both admins and end users? Will adoption require extensive training? Do users complain about workflow friction?
Reporting and Visibility: Can you generate reports that satisfy compliance auditors? Are dashboards actionable or just informational? Can you export data for external analysis?
Support Quality and Responsiveness: What SLA do they offer for critical issues? Do support staff actually resolve problems or hand off to documentation? Check third-party reviews for consistency.
Vendor Stability and Roadmap: Is the vendor financially stable? Are they actively developing the product? Do roadmap priorities align with your needs? What happens if the vendor is acquired?
Weight these criteria based on your environment. Organizations with strict compliance requirements should prioritize reporting and audit capabilities. Teams managing diverse infrastructure should focus on integration depth and scalability. If you’re resource-constrained, ease of deployment and vendor support quality matter more than feature count.
Expert Insights is an independent editorial team that researches, tests, and reviews cybersecurity and IT solutions. No vendor can pay for a better score or favorable review. Our assessments are based solely on product quality and real-world utility.
Expert Insights independently evaluated exposure management platforms across diverse infrastructure environments, testing asset discovery accuracy, vulnerability scanning depth, remediation guidance quality, and integration capabilities. Our methodology includes vendor landscape mapping, hands-on testing across cloud and on-premises environments, and analysis of customer feedback. Updated quarterly. We evaluate solutions based on core capabilities, ease of implementation, operational overhead, and customer experience. Each product was assessed in environments reflecting actual enterprise deployments.
Our editorial team conducts in-depth market research, reviews customer feedback and case studies, and speaks with vendors to understand architectural decisions and product limitations. Our editorial and commercial teams operate independently—no vendor can pay for better scores or modify our assessments.
This guide is updated quarterly. For full details on our evaluation process, visit our How We Test & Review Products page.
No single exposure management solution fits every organization. Your choice depends on your infrastructure complexity, integration requirements, and team resources.
For organizations prioritizing straightforward implementation without vendor lock-in, look for platforms with strong API support and multi-cloud deployment options. These reduce future friction when your infrastructure evolves.
For teams managing large-scale deployments across multiple regions or cloud providers, invest in solutions with proven scalability and deep reporting capabilities. The operational transparency pays dividends during incidents and audits.
For resource-constrained teams, vendor support quality and ease of deployment matter more than feature completeness. A simple solution your team actually uses beats a feature-rich platform gathering dust on the roadmap.
Budget carefully for total cost of ownership. Per-user licensing, infrastructure costs, and support tiers add up quickly. Some solutions with lower per-seat pricing create higher overall costs when you factor in implementation overhead.
Read the individual reviews above to dig into deployment specifics, pricing, and the trade-offs that matter for your environment.
Cyber threat exposure, sometimes called to as cyber exposure or cybersecurity exposure, refers to the risk of your sensitive data being compromised or misused.
With the adoption of IoT, OT, and BYOD devices, SaaS applications, and cloud storage in the workplace, alongside the increasing reliance on third-party service providers, organizations are finding themselves exposed to new vulnerabilities, and a bigger attack surface. The best way to deal with this is to identify the top threats facing your business—i.e., the ones most likely to actually happen, and the ones that will cause the most damage if they do happen—and continuously reduce your exposure to those threats.
Exposure management is the practice of addressing exposure to cyberthreats by mapping your organization’s digital attack surface, then taking proactive steps to identify and fix gaps in your security before they can be exploited. By identifying which areas of their IT infrastructure are most exposed to cyberthreats, organizations can determine how they’re most likely to fall victim to a cyberattack and then take steps to alleviate that risk before an attack can occur.
All of this can be very challenging to achieve manually—but that’s where exposure management solutions come in. Exposure management solutions are a type of risk management software that help organizations to identify, assess, and mitigate their risk of exposure to cyberthreats. They provide organizations with clearer visibility into their attack surface, as well as the tools needed to reduce their risk exposure.
Exposure management solutions work by aggregating and analyzing data related to different areas of your business operations that bear potential risks, such as financial transactions, supply chain processes, IT security, or regulatory compliance. The tool then uses complex predictive models and simulations to estimate potential losses in various risk scenarios, enabling businesses to better understand their exposure and develop strategies to mitigate these risks.
While the method varies slightly between different solutions, most exposure management platforms achieve this by following these three steps:
The first step is for the exposure management platform to identify all your assets, including your servers, APIs, endpoints, cloud infrastructure, web and SaaS applications, DNS records, and supply chain and third-party supplier systems. Once it has created an inventory of these assets, the exposure management solution maps your internal and external attack surface, giving you a better understanding of how vulnerable your assets are, and how they could be exploited. In this stage, the solution will identify things such as open ports, publicly accessible services, and operating system and application vulnerabilities.
Once the attack surface has been mapped, the exposure management solution helps you prioritize your remediation efforts. It does this by providing insights into the level of risk posed by each exposure, i.e., the likelihood that the exposure will lead to a compromise, the potential impact of the compromise, and the sensitivity of data that could be compromised. As part of this, exposure management tools often simulate attacks under real-world conditions to see how your environment would react to them.
This helps you decide which exposures you need to address right away, and which ones can be addressed later on. It also helps you decide which techniques you should use to remediate each exposure.
Once you’ve prioritized your exposures and worked out the best way to remediate them, it’s time to actually remove those risks. This might involve patching vulnerabilities, closing unnecessary ports, taking certain assets offline, or changing your access control policies. The best exposure management solutions facilitate this stage, with some even offering automated remediation options, e.g., to fix configuration issues.
It’s important to remember that this is a continuous cycle. Cybercriminals aren’t going to stop trying to find a way into business systems; once one vulnerability is patched, they’ll look for a new way in. So, exposure management and vulnerability remediation are ongoing activities.
There are a few reasons why you might want to consider implementing an exposure management solution:
There are a few key features you should look out for when comparing exposure management solutions:
Exposure Management (EM) is a cybersecurity strategy that helps security teams identify and address security exposures within their organization, such as vulnerabilities, misconfigurations, and unsecure processes. EM tools typically use scheduled scans to identify risks and vulnerabilities, and depend on human analysis and periodic remediation cycles. Many EM solutions also comprise siloed tools for asset inventory, vulnerability scanning, and risk prioritization.
Continuous Threat Exposure Management (CTEM) is an evolution of EM that leverages more automation and integration. It still aims to identify and minimize potential risks and vulnerabilities across the attack surface but, rather than performing periodic, static scans, a CTEM solution continuously monitors and assesses the attack surface. This enables CTEM tools to provide real-time visibility into an organization’s security posture, making sure that security teams are working with the most up-to-date data so they can respond quickly and effectively to potential threats.
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.
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.