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 Attack Surface Management (ASM) provides continuous visibility and monitoring across an enterprise’s public ecosystem, enabling quick identification of attack surfaces and associated vulnerabilities. The platform integrates with vulnerability management programs for a unified view of exposure risk.
Edgescan ASM offers unlimited investigation tailored to enterprise needs, including API and service discovery, subdomain identification, certificate retrieval for validity and expiration, DNS resolution with internet records, TLS analysis grading web application configurations, web content analysis for domain extraction, and HTTP defensive header analysis.
The platform allows easy addition of newly discovered assets to your Continuous Threat and Exposure Management (CTEM) program with one-click for instant vulnerability management. It provides customized reporting, flexible API integrations, and premium support with AI Insights providing real-time tactical advice to improve security posture immediately.
Edgescan ASM is a strong option for organizations needing a solution to inventory, monitor, and manage their digital assets and exposure risks in a multi-cloud environment. The unlimited investigation and one-click asset onboarding into CTEM workflows is good to see.
NordStellar is a threat exposure management platform from Nord Security that monitors the dark web and external attack surface to catch credential leaks, stolen cookies, and brand impersonation before they turn into breaches. We think NordStellar is a strong fit for mid-sized to large enterprises that want proactive dark web intelligence with minimal setup overhead.
NordStellar goes beyond basic keyword alerts for dark web monitoring. The platform tracks business terms across hacker forums, marketplaces, and Telegram channels, and scans infostealer logs and breach databases continuously. The data pool is significant: over 40,000 dark web sources and 90 billion breached accounts. Cybersquatting detection uses content and visual similarity algorithms enriched with AI to catch brand impersonation attempts. The platform also monitors for stolen cookies 24/7, comparing them against a reference set of hundreds of billions of cookies and alerting when compromised sessions are found. Setup is straightforward; you plug in your domain and monitoring starts immediately.
Customers praise the real-time alerts and the platform’s ability to surface risks from lesser-known sources that other tools miss. The team’s responsiveness to feedback gets repeated mentions, and users note the platform has improved noticeably over a short period with new sources and usability enhancements. Something to be aware of is that NordStellar is primarily focused on exposure detection rather than deep technical threat analysis. Organizations looking for advanced threat hunting capabilities may want to pair it with a more specialized platform.
We think NordStellar delivers strong value for organizations that are tired of learning about credential leaks from third-party breach notifications after the fact. If your priority is catching exposures early, particularly stolen credentials and brand impersonation, with minimal operational overhead, this is a solid option to consider. The scale of the data pool, with 40,000+ dark web sources and 90 billion breached accounts, gives the platform a detection advantage for credential-related threats.
Censys Exposure Management maps your attack surface from an attacker’s perspective, covering acknowledged assets, shadow IT, and internet-exposed infrastructure with over 95% attribution accuracy. We think Censys is a strong choice for security teams managing complex, distributed environments that need continuous discovery, risk prioritization, and strong API flexibility in a single platform.
Censys performs continuous multi-perspective scanning across over 300 risk fingerprints with daily updates, which catches unknown assets that slip past traditional inventories. The platform scans the top 137 ports daily and the top 1,440 ports in the cloud, scanning 45 times more services than its nearest competitor. Rapid response delivers emergency vulnerability intelligence within 24 hours of public disclosure, which is strong for teams managing internet-facing infrastructure. The API is well-documented and handles custom use cases from exposure-specific alerts to statistical analysis. Risk triage updates daily and provides remediation recommendations with enough context to make decisions without hunting for additional research.
Customers highlight the visibility into their digital footprint, with the platform discovering risks they didn’t know existed. The Cloud Connector simplifies initial seeding and ongoing scans. Something to be aware of is that the platform doesn’t automatically detect when seed data becomes stale, so you’ll need to do manual cleanup periodically. Some users also want more granular bucket categorization and the ability to convert search queries directly into risk types for easier tracking.
We were impressed by the scanning depth and the API flexibility, which makes Censys a strong platform for teams that want to build custom workflows around their exposure data. If you manage distributed environments with shadow IT problems and need an attacker’s-eye view of your exposure, the combination of automated scanning and detailed remediation guidance is well worth considering. The rapid response capability, delivering vulnerability context within 24 hours of disclosure, is a real operational advantage during emerging threat situations.
CrowdStrike Falcon Exposure Management uses AI-powered risk scoring to prioritize vulnerabilities and discover assets across endpoints, workloads, IoT/OT, and applications, all within the unified Falcon platform. We think this is a strong option for organizations already invested in CrowdStrike that want exposure management integrated with their existing endpoint protection and threat intelligence.
The ExPRT.AI engine reduces alert fatigue by focusing remediation on exploitable vulnerabilities rather than raw CVE counts, combining exploitability analysis, asset criticality, and adversary intelligence to rank what to fix first. Real-time visibility includes CIS benchmark compliance evidence for misconfigurations. Predictive attack path mapping shows lateral movement opportunities before attackers exploit them. Recent additions include AI Discovery, which identifies AI components running across your environment, including LLMs, AI agents, and MCP servers, and AI-powered Asset Criticality that automatically classifies assets into Critical, High, and Non-Critical tiers. The Falcon Fusion SOAR integration automates response actions for teams wanting unified workflows.
Customers praise the real-time asset discovery and the way weighted prioritization and vulnerability groupings help focus remediation efforts. The Falcon Dashboard integration works well for teams already using CrowdStrike products. Something to be aware of is that false positives can be an issue, 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, and patching workflows require CSV exports to separate remediation systems.
We think Falcon Exposure Management makes the most sense for organizations already running CrowdStrike endpoint protection, where the shared threat intelligence and dashboard integration eliminate context switching for SOC teams. If you’re committed to the Falcon platform and can invest in proper tuning, the AI-powered prioritization delivers real value by cutting through alert noise. For organizations without CrowdStrike expertise on staff or those wanting simple out-of-the-box deployment, the setup complexity is worth considering.
Cymulate combines vulnerability scanning, attack surface discovery, and continuous breach and attack simulation to test whether your security controls actually stop attacks. We think Cymulate is a strong fit for security teams that want to validate defenses through automated red-teaming across on-premises, cloud, and hybrid environments, rather than relying on configuration reviews alone.
Cymulate runs continuous automated attack simulations that test real-world scenarios without disrupting operations, covering phishing, lateral movement, data exfiltration, web gateway attacks, and full kill chain scenarios. Simulations are powered by real-time intelligence and updated within 24 hours of emerging threats. MITRE ATT&CK mapping provides actionable, vendor-specific remediation guidance with one-click retesting to verify fixes. The platform centralizes validation across applications, email, web gateways, EDR, WAF, and attack surface. Cymulate has also expanded its cloud security validation with simulation templates across AWS, Azure, and GCP. Exposure analytics baseline your security posture over time with executive reporting that shows measurable risk reduction.
Customers praise the realistic simulations and the clear remediation priorities that make decision-making straightforward. The continuous validation approach improves security posture without operational disruption. Something to be aware of is that the attack surface management findings need better validation accuracy. There’s also a moderate learning curve for teams new to breach and attack simulation platforms, and advanced scenario configuration requires technical adjustments and time.
We think Cymulate fills a different need than traditional exposure management tools. If you want to prove whether your security stack actually stops attacks rather than just reviewing configuration settings, the simulation approach provides practical answers. The MITRE ATT&CK-mapped guidance with one-click retesting makes the feedback loop fast and actionable. Cymulate was named a Customers’ Choice in the 2025 Gartner Peer Insights and included in the 2026 Gartner Market Guide for Adversarial Exposure Validation, which reflects the strong market position.
Detectify is an EASM platform that combines surface monitoring with deep application scanning, powered by crowdsourced vulnerability research from a community of 400 ethical hackers. We think Detectify is a strong option for AppSec and ProdSec teams managing custom web applications that need continuous vulnerability detection with testing payloads that stay current with real-world attack techniques.
Detectify operates through two modules: Surface Monitoring provides continuous discovery and supervision of all internet-facing assets with custom rule setting, while Application Scanning goes deeper into custom-built apps with an optimized security crawler, advanced fuzzing capabilities, and authenticated testing. The crowdsourced research model is the key differentiator; 400 ethical hackers contribute testing payloads that are often available within weeks of new techniques being discovered in the wild. The fingerprinting feature tailors security tests to your specific tech stack rather than running generic scans, and the platform checks for over 2,000 known vulnerabilities including the OWASP Top 10. Rich APIs and connectors automate testing workflows and integrate into DevOps pipelines.
Customers highlight the easy setup and smooth DevOps integration, and the continuous vulnerability scanning accuracy gets positive marks. The crowdsourced research keeps threat detection current, which users value. Something to be aware of is that the platform lacks built-in issue tracking for vulnerability management workflows, so you’ll need to handle remediation tracking in a separate system. Some users also report occasional false positives and recent difficulties setting up scanners, though the product works well once configured.
We were impressed by the crowdsourced research model, which gives Detectify a testing currency that scanner-only tools struggle to match. If you’re building custom web applications and want automated security testing that doesn’t require constant manual effort, the combination of surface monitoring and deep application scanning is well worth considering. The DevOps integration makes it practical for teams that want security testing built into their development pipeline rather than bolted on afterward.
Flare monitors dark web forums, Telegram channels, and archived marketplaces to catch leaked credentials, fraud activity, and impersonation attempts before they become incidents. We think Flare is a strong option for security and fraud teams that need external exposure intelligence integrated into existing response workflows, with particular strength in credential leak detection at scale.
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 collects more than one million new stealer logs every week, which gives it strong detection depth for credential-related threats. Automated credential detection integrates with identity systems like Microsoft Entra ID to revoke compromised access immediately, closing the gap between detection and response. Flare also identifies data from past publications even after content disappears from original sources, which means historical threats don’t go undetected. The platform includes look-alike domain detection and third-party exposure risk alerting.
Customers praise the actionable alerts that provide clear guidance on next steps, and the leaked credentials and ransom leak monitoring get repeated mentions as particularly useful. Support quality consistently earns high marks. Something to be aware of is that the interface requires time to learn, particularly for GUI-only users. Documentation could include more practical examples for advanced features and elastic search integration.
We think Flare’s strength is the scale of its credential monitoring, collecting over one million new stealer logs per week, and the direct integration with identity systems like Entra ID for automated revocation. If your team is managing external exposure risks beyond your network perimeter and wants dark web intelligence feeding directly into security operations, this is well worth considering. The 58,000+ Telegram channel coverage is also a strong point, given that Telegram has become one of the most active platforms for cybercriminal activity.
Mandiant Advantage Attack Surface Management, part of Google Cloud, discovers and analyzes internet-connected assets across distributed environments while monitoring digital supply chains beyond third and fourth-party providers. We think Mandiant ASM is a strong fit for security teams managing complex operations like M&A, where attack surface visibility during rapid infrastructure changes is critical.
The digital supply chain monitoring extends deeper than typical vendor risk platforms, maintaining an up-to-date vendor inventory for compliance and conducting 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. The platform leverages NVD and CISA’s Known Exploited Vulnerability catalog to check exposure, and a live IOC feed identifies attack techniques and tactics, reducing investigation time during incident response. Cloud integrations with Google Cloud, AWS, and Azure provide centralized visibility across multi-cloud and hybrid environments.
Customers praise the full context provided, including where information was found and access to raw data. The MITRE technique classification and playbook integration speed up incident response, and the in-depth traffic analysis through Mandiant’s integration with EDR gets positive marks. Something to be aware of is that data visualization can become cluttered and requires effort to interpret, particularly around collaboration features. The platform can also generate noisy false positives for widely recognized companies, requiring additional filtering and tuning.
We think Mandiant ASM stands out for its supply chain monitoring depth, which extends well beyond the third-party level that most exposure management tools stop at. If you’re handling M&A integration or managing distributed infrastructure with complex supply chain relationships, the combination of deep vendor monitoring and Mandiant’s threat intelligence context is a strong differentiator. For teams wanting simple dashboards or those without resources to tune false positives, the interface complexity is something to factor in.
Microsoft Defender EASM provides continuous visibility into internet-facing assets across cloud, SaaS, IaaS, and shadow IT environments, with native integration into the Microsoft Defender and Sentinel security stack. We think Defender EASM is a strong option for organizations already committed to Microsoft’s security ecosystem that want attack surface management without adding another vendor.
Defender EASM uses Microsoft’s proprietary discovery technology to recursively search for infrastructure through observed connections to known legitimate assets, uncovering previously unknown and unmonitored properties. The platform excels at finding forgotten domains and misconfigured endpoints that accumulate over time through everyday business growth. Every discovered resource feeds directly into the Defender for Cloud portal for unified management, and integrations with Defender XDR and Sentinel eliminate tool switching for teams managing vulnerabilities across multiple platforms. Code-level discovery provides granular visibility beyond basic asset inventories, covering frameworks, web pages, and component-level details.
Customers praise the tool’s ability to find unmanaged and unknown components, with several noting it identified multiple forgotten domains and misconfigured endpoints within the first few weeks of deployment. Something to be aware of is that initial asset classification can feel complex and takes time to understand properly. Dashboards can slow with larger inventories and generate noise requiring filtering. Some users also flag that UI changes cause usability issues and the interface needs clearer distinction between paid and non-paid features.
We think Defender EASM makes the most operational sense for teams standardized on Microsoft’s security stack, where the native integration with Defender for Cloud, Sentinel, and XDR creates a unified workflow. If you’re running a Microsoft-heavy environment and want attack surface visibility without adding another vendor relationship, this is worth considering. For multi-vendor shops or organizations wanting best-in-class standalone EASM capabilities, the platform’s value is more limited; the integration advantage is where it delivers the most benefit.
Palo Alto Prisma Cloud identifies and mitigates internet exposure risks across AWS, Azure, and Google Cloud with continuous asset discovery, cloud security posture management, and workload protection. We think Prisma Cloud is a strong option for multi-cloud security teams that need unified visibility across major cloud providers, though the platform is currently being merged with Cortex CDR into a new product called Cortex Cloud.
Prisma Cloud’s 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. Cloud security posture management provides over 3,000 built-in policies and continuously monitors compliance posture against more than 100 frameworks including CIS, GDPR, HIPAA, NIST-800, PCI-DSS, and SOC 2. The platform cross-correlates misconfigurations, vulnerabilities, excessive permissions, and anomalous activity to identify attack paths to critical assets. Cloud Discovery and Exposure Management gives security teams an outside-looking-in view of their environments, including clouds they might not know existed.
Customers praise the asset visibility and workload protection across multi-cloud environments, and teams using multiple cloud providers appreciate the unified coverage. Something to be aware of is that implementation and maintenance can be challenging, particularly in custom or heterogeneous environments that require significant planning time. Multiple users report high false positive rates, and support quality has received mixed feedback, with some mentioning resolution delays and declining attention.
We think Prisma Cloud delivers strong multi-cloud coverage for organizations standardized on major cloud providers, with the 3,000+ built-in policies and 100+ compliance frameworks providing depth for regulated industries. Something to be aware of is that Palo Alto Networks is merging Prisma Cloud with Cortex CDR into a new product called Cortex Cloud, which became available in late 2025. Existing customers are being transitioned with all capabilities preserved, but prospective buyers should clarify the product roadmap before committing. If you can invest the deployment time upfront and have the resources to manage false positive tuning, 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.