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.
We reviewed 9 Entra ID backup solutions on granular object recovery, retention depth, and security controls. Native Microsoft tooling does not cover what these platforms protect.
We reviewed 9 Proofpoint email security alternatives on detection accuracy, the quality of threat intelligence, and how well each integrates into Microsoft 365 environments where most organizations have now consolidated their productivity infrastructure.
We reviewed the leading static code analysis tools on detection accuracy, the false positive rate that determines developer trust, and how well each integrates into existing build pipelines without slowing delivery.
We reviewed the leading SCA tools on how accurately they identify vulnerable open-source components, the quality of license compliance reporting, and how well they fit into developer workflows without slowing delivery.
We reviewed 12 cyber threat intelligence platforms on the relevance and freshness of intelligence, how well each integrates with SIEM and SOAR tools, and whether the output drives faster response or just adds to the analyst reading list.
We reviewed the leading ITSM platforms on ticket routing automation, knowledge base integration, and the SLA tracking that shows where your service desk is performing and where it is falling short.
We reviewed 8 IT asset management solutions on discovery accuracy, the depth of software license tracking, and how well each connects asset data to the security and compliance workflows that depend on knowing exactly what is in your environment.
We reviewed 11 consent management platforms on consent record accuracy, preference center quality, and how well they handle consent withdrawal and audit requests under regulatory scrutiny.
We reviewed the leading cookie consent platforms on compliance coverage, banner customization, and how well they handle consent records across multi-language and multi-region deployments.
We reviewed 9 Azure VM backup solutions on recovery granularity, backup policy depth, and how well each handles cross-region recovery scenarios when Azure infrastructure itself is affected.
We reviewed the leading MDM platforms on the range of device types and OS versions they support, remote management depth, and the application analytics that show what is running on managed devices.
We reviewed the leading cloud directory solutions on identity data management, custom attribute support, and integration depth with downstream applications. Here's what we think is worth evaluating.
We reviewed the leading enterprise IT management platforms on the range of infrastructure types they monitor, the quality of optimization recommendations, and how well each supports IT service management alongside technical operations.
We reviewed the leading PTaaS providers on scope flexibility, the quality of vulnerability reporting, and how well remediation guidance translates into developer action. Output quality varied more than pricing suggests.
We reviewed 10 security testing platforms on detection coverage, false positive rates, and developer-facing reporting. Here's what we think is worth building into your security program.
We reviewed the leading web application security platforms on the breadth of vulnerabilities they detect, the quality of runtime protection, and how well each integrates with development and operations workflows.
We reviewed the leading open-source application security tools on the quality and currency of their vulnerability databases, community activity level, and how much configuration effort is required to get useful results from each.
We reviewed the leading application security testing solutions on how well they combine static, dynamic, and interactive testing approaches, the accuracy of findings across different application types, and how well each fits into modern DevSecOps workflows.
We reviewed the leading API security testing tools on the depth of endpoint discovery, how accurately each identifies OWASP API Top 10 vulnerabilities, and the developer-facing output that determines whether findings get fixed or ignored.
We reviewed the leading API security tools on how well each discovers undocumented and shadow APIs, the accuracy of vulnerability identification, and how runtime protection holds up against the real-world API attacks that automated scanners do not always replicate.
We reviewed the leading DAST tools on the accuracy of vulnerability detection in live environments, how well each handles authenticated scanning, and whether findings are reported in a format development teams can act on.
We reviewed 10 cloud file security platforms on access control granularity, DLP policy depth, and how well they handle external sharing scenarios that create real compliance risk.
We reviewed 6 CSPM platforms on detection coverage, compliance mapping accuracy, and how actionable their remediation recommendations are. The gap between the best and weakest was significant.
We reviewed the leading CDR platforms on detection logic depth, response automation, and how well each handles multi-cloud environments. Cloud-native coverage varied more than vendors suggest.
We reviewed the leading cloud security monitoring platforms on analytics quality, anomaly detection speed, and how well they correlate signals across cloud services and accounts.
We reviewed 10 cloud security platforms across identity, workload, data, and network protection. Here's what we think organizations should prioritize when building out a cloud security program.
We reviewed 11 cloud workload protection platforms on detection coverage, configuration drift alerting, and how well they handle workloads across multi-cloud deployments.
We reviewed 10 cloud collaboration platforms on the granularity of admin controls, how well each enforces security policy for external collaboration, and the encryption architecture that determines what happens to your data if the vendor is compromised.
We reviewed the leading CNAPP platforms on the breadth of protection across build, deploy, and run phases. The best ones unify what used to require three separate tools.
by Mirren McDade
We reviewed the leading runtime security platforms on detection speed, anomaly identification accuracy, and how well they integrate with existing incident response workflows without adding operational overhead.
We reviewed the leading MAST tools on the depth of static and dynamic analysis, behavior monitoring accuracy, and how well findings are reported in a format that drives remediation rather than filing.
We reviewed the leading container security tools on image vulnerability scanning depth, runtime anomaly detection accuracy, and how well each integrates with Kubernetes and container orchestration platforms without adding significant operational overhead.