Best Runtime Security Tools
Explore the top Runtime Security Tools offering real-time threat detection, anomaly detection, and response capabilities to protect applications and infrastructure during runtime.
Written by
Mirren McDade
Technical Review by
Laura Iannini
Quick Summary
Wiz Runtime Sensor is an eBPF-based agent built for security teams running Linux hosts and Kubernetes clusters who need real-time threat detection without the overhead of traditional agents
Aikido Security combines code-to-cloud security testing with runtime protection in a single platform
Aqua Security CWPP protects cloud-native workloads across hybrid and multi-cloud environments
Runtime security is critical for organizations running containers and Kubernetes at any scale. Vulnerabilities that static scanners miss emerge when code runs in production. Attackers move laterally through workloads, but most teams lack visibility into what’s actually happening on their systems until something breaks or an audit surfaces the problem.
The market has fractured into competing approaches. Some vendors push agent-heavy architectures that add resource overhead. Others promise agentless scanning but require deep integrations with your cloud provider. Many default to alert flooding that treats critical threats the same as suspicious system calls. Getting this decision wrong means either operational friction that makes deployment painful or gaps that compliance auditors will catch before you do.
We evaluated 10 runtime security platforms across cloud-native environments, evaluating each for detection accuracy, deployment friction, alert quality, and management overhead. We also reviewed customer feedback and integration experiences to understand where platforms deliver on their promises and where the gap between marketing claims and real-world behavior widens. What we found: runtime protection maturity varies significantly. Some platforms treat every suspicious behavior as a critical incident, while others quietly miss active threats. Several claim agentless approaches but require extensive infrastructure changes to function correctly.
This guide gives you the testing insights and decision framework to select a runtime security platform that matches your deployment model, team size, and tolerance for operational complexity.
Our Recommendations
We reviewed 9 products and selected the top performers for different use cases.
- Best For Security: Wiz Runtime Sensor , eBPF-based design keeps resource overhead low on production workloads.
- Best For Security: Aikido Security , In-app firewall deploys without network changes or proxy configuration.
- Best For Security: Aqua Security CWPP , eBPF-based behavioral detection catches threats scanners miss.
- Best For Enterprise Scale: Check Point CloudGuard for Workload Protection , AI-powered threat prevention with real-time traffic monitoring and blocking.
- Best For Security: CrowdStrike Falcon Cloud Security CWP , Threat Graph correlates endpoint and workload telemetry for accurate detection.
Aikido Security combines code-to-cloud security testing with runtime protection in a single platform. It consolidates SAST, DAST, and CSPM alongside Zen, an in-app firewall that blocks attacks as they happen. Built for dev teams who want vulnerability scanning and runtime defense without juggling multiple vendors.
In-App Firewall That Actually Blocks
Zen runs inside your application rather than in front of it. This approach simplifies deployment considerably. No network reconfiguration, no proxy setup. It blocks SQL injection, command injection, and path traversal in real time while your app runs.
The threat intelligence layer filters malicious IPs automatically. You can block bots, geo-restrict traffic, or cut off dark web sources. It handles rate limiting for brute force prevention and even auto-generates Swagger docs from your API traffic.
Developer Experience Stands Out
Quick GitHub integration gets called out repeatedly. Teams connect repos and start scanning within minutes. The AI-powered false positive filtering helps ensure flagged issues are worth your time.
Some users feel the free tier is limited for growing teams, and pricing climbs as you scale. A few developers using their own AI agents for fixes want easier prompt export rather than relying on built-in auto-fix. These are workflow preferences, not platform gaps.
What Customers Are Saying
We think this fits teams evaluating runtime protection as a WAF complement or replacement. If you want code scanning and runtime defense unified with transparent pricing, Aikido delivers. Supports Node, Python, PHP, .NET, and Ruby.
Strengths
- In-app firewall deploys without network changes or proxy configuration.
- Blocks zero-day and OWASP Top 10 attacks in real time.
- Combines SAST, DAST, CSPM, and runtime in one platform.
- Transparent public pricing with a functional free tier.
- GitHub PR integration catches vulnerabilities before merge.
Cautions
- Some customer reviews highlight that auto-fix workflow may not suit teams using external AI agents.
- According to customer feedback, language support limited to six frameworks currently.
Aqua Security CWPP
Aqua Security CWPP protects cloud-native workloads across hybrid and multi-cloud environments. It combines runtime protection with drift prevention and behavioral detection. Built for security teams managing containers, Kubernetes, and serverless across multiple cloud providers who need visibility without sacrificing performance.
Multi-Layered Runtime That Catches What Scanners Miss
The platform uses eBPF-based detection alongside signature matching. We found this layered approach catches both known threats and suspicious behavioral patterns. Team Nautilus threat intelligence feeds IoCs directly into detection, keeping you current on emerging threats.
Drift prevention enforces immutability at runtime. If something changes that shouldn’t, you know immediately. The automatic incident timeline stitches together workload activities so you can reconstruct what happened without manual log correlation.
What Customers Are Saying
Scanner setup and component deployment get consistent praise for being straightforward. The built-in compliance frameworks for CSPM save time on baseline configuration.
Navigation is the common friction point.
Where Aqua Fits Your Stack
We think Aqua works best for mid-market and enterprise teams with established cloud-native infrastructure who need workload protection beyond basic scanning. If you’re running containers at scale across multiple clouds, the visibility and runtime controls justify the complexity.
Smaller teams or those early in their cloud journey may find the interface overhead frustrating. Plan for onboarding time to get your team comfortable with the module structure.
Strengths
- eBPF-based behavioral detection catches threats scanners miss.
- Automatic incident timelines speed up investigation and response.
- Drift prevention enforces workload immutability in real time.
- Built-in compliance frameworks reduce CSPM configuration effort.
- Lightweight agent minimizes performance impact on workloads.
Cautions
- According to customer feedback, UI navigation challenges for teams new to cloud security tooling.
- Based on customer feedback, support response times average around two days for issue resolution.
Check Point CloudGuard for Workload Protection
Check Point CloudGuard delivers workload security across serverless functions, Kubernetes containers, and microservices. It extends Check Point’s threat prevention into cloud-native environments with AI-powered detection and zero-trust enforcement. Built for enterprise teams already in the Check Point ecosystem or managing complex multi-cloud deployments.
Zero-Trust Meets DevOps Automation
CloudGuard embeds security directly into your DevOps pipeline. Image Assurance validates container integrity before deployment. Admission Control enforces policy-based access for Kubernetes workloads, giving you granular control over what talks to what and who reaches the internet.
The automated policy application is particularly useful for lean security teams. The platform monitors and adjusts security posture across Kubernetes clusters continuously without requiring constant manual oversight.
Enterprise Integration, Enterprise Complexity
AWS and Azure integration works smoother than expected. The centralized dashboard consolidates traffic flows, compliance status, and risk visibility in one place. Teams report significant time savings on manual monitoring and audit preparation.
Initial configuration is where teams hit friction. Policy management has a steep learning curve, and advanced features demand real technical depth. Pricing sits higher than some alternatives, which matters if you’re not already standardized on Check Point. Once configured properly, the platform delivers strong control, but plan for upfront investment.
Right Fit for Your Environment
We think CloudGuard works best for enterprise teams with existing Check Point relationships or those needing unified workload protection across complex multi-cloud architectures. If you have the technical resources to handle initial setup, the long-term operational efficiency pays off.
Strengths
- AI-powered threat prevention with real-time traffic monitoring and blocking.
- Image Assurance validates container integrity before production deployment.
- Centralized dashboard consolidates compliance, risk, and traffic visibility.
- Automated policy enforcement reduces manual workload for lean teams.
- Strong AWS and Azure integration with responsive support.
Cautions
- Based on customer reviews, initial configuration and policy management require significant technical depth.
- Some users mention that pricing runs higher than some competing workload protection platforms.
CrowdStrike Falcon Cloud Security CWP
CrowdStrike Falcon Cloud Security protects workloads across Linux, Windows, containers, Kubernetes, and serverless environments like AWS Fargate. It extends CrowdStrike’s endpoint detection capabilities into cloud-native infrastructure. Built for teams who want unified visibility across endpoints and cloud workloads through a single platform.
Threat Graph Powers Real-Time Detection
The CrowdStrike Threat Graph correlates endpoint telemetry, workload data, and threat intelligence with AI-powered analytics. The detection quality is noticeably high with minimal false positives. Zero-day threats get caught in real time rather than flagged after the fact.
Vulnerability management runs continuously at runtime. You scan images before production, then the platform keeps monitoring without requiring rescans. That continuous assessment approach saves significant operational overhead compared to scheduled scanning workflows.
What Customers Are Saying
The agent footprint stays minimal. Detection accuracy and investigation capabilities get consistent praise. The management console is intuitive, and integrating with existing EDR and SIEM setups delivers both technical and operational value.
Cost is the recurring concern.
Where Falcon Fits
We think Falcon Cloud Security works best for organizations already using CrowdStrike endpoint protection or those prioritizing detection accuracy over cost optimization. The unified endpoint and workload visibility is a real advantage if you’re consolidating security tools.
Strengths
- Threat Graph correlates endpoint and workload telemetry for accurate detection.
- Lightweight agent minimizes performance impact on protected systems.
- Continuous runtime vulnerability monitoring without repeated scanning.
- Intuitive management console with strong investigation capabilities.
- Covers Linux, Windows, containers, Kubernetes, and serverless workloads.
Cautions
- Some users report that higher resource consumption compared to some lightweight alternatives.
- According to some user reviews, limited functionality when systems operate offline or disconnected.
Microsoft Defender for Cloud
Microsoft Defender for Cloud secures containerized assets and workloads across Azure, AWS, and GCP from development through runtime. It combines security posture management with workload protection, alongside vulnerability scanning and compliance monitoring. Built for organizations with Microsoft-centric environments or multi-cloud strategies looking for unified visibility.
Native Azure Integration Changes the Game
If you’re running Azure workloads, implementation is essentially automatic. No manual integration work required. The centralized dashboard consolidates findings, recommendations, and compliance gaps with clear prioritization. The task assignment workflow is straightforward for delegating remediation to team members.
The secure score provides a useful benchmark for tracking security posture improvements over time. Attack path analysis helps you understand how vulnerabilities chain together rather than treating each finding in isolation.
Multi-Cloud Comes Standard
Protection extends to AWS and GCP workloads, VMs, containers, and databases. CI/CD pipeline security coverage addresses code-to-cloud risk. Microsoft Sentinel integration enables advanced SIEM capabilities with custom incident response workflows.
Dashboard status updates lag behind actual remediation. You fix something, but it still shows pending. No real-time validation frustrates teams tracking their progress. Alert fine-tuning is time-consuming, and integration with non-Microsoft tools feels less polished. Pricing can challenge smaller organizations.
Where Defender Fits Your Stack
We think Defender for Cloud works best for organizations already invested in Microsoft infrastructure or those needing multi-cloud coverage without deploying separate tools for each environment. The on-premises VM support is a bonus if you’re managing hybrid infrastructure.
Strengths
- Native Azure integration requires zero manual setup for implementation.
- Extends protection across AWS and GCP for true multi-cloud coverage.
- Centralized dashboard with prioritized findings and easy task assignment.
- Secure score tracks posture improvements with clear metrics.
- Supports on-premises VMs alongside cloud workloads.
Cautions
- According to customer feedback, dashboard status updates lag behind actual remediation completion.
- According to some user reviews, alert fine-tuning requires significant time investment to configure properly.
Orca Security CWPP
Orca Security CWPP delivers agentless cloud workload protection for VMs, containers, and Kubernetes. It scans directly from cloud configuration and runtime block storage without deploying agents to each workload. Built for teams who want broad visibility across their cloud estate without the operational overhead of agent management.
Agentless Scanning Changes Your Operating Model
No agents means no deployment friction, no patching, no performance overhead on production workloads. Orca gathers data out-of-band from your cloud configuration and block storage. The time-to-value is impressive. Within minutes, you’re seeing prioritized risks across vulnerabilities, malware, misconfigurations, and lateral movement paths.
The unified data model ranks risks by actual exploitability rather than raw severity scores. Sensitive data detection covers PII and PHI, adding compliance context to your vulnerability prioritization.
What Customers Are Saying
API integration is straightforward. Discovery searches work well, and scheduled reporting handles routine tasks cleanly. The dedicated success engineers and account managers maintain active feedback loops and address gaps as you identify them.
Where Orca Fits Your Environment
We think Orca works best for teams prioritizing operational simplicity who can live with dashboard limitations. If agent deployment is a non-starter for your environment, the agentless approach delivers real value.
Organizations needing highly customized reporting may find the dashboard constraints frustrating long-term.
Strengths
- Agentless architecture eliminates deployment and maintenance overhead completely.
- Scans runtime block storage without impacting workload performance.
- Prioritizes risks by exploitability with unified attack path analysis.
- Detects sensitive data including PII and PHI across cloud assets.
- Dedicated customer success team maintains responsive feedback loops.
Cautions
- According to some user reviews, dashboard customization severely limited for organization-specific KPIs.
- Based on customer reviews, terminated containers persist in platform, skewing vulnerability metrics.
Sysdig Secure
Sysdig Secure is a CNAPP platform combining vulnerability management, posture management, and cloud detection and response. It uses runtime data to prioritize risks rather than relying solely on static scanning. Built for teams who need real-time threat detection alongside traditional cloud security posture management.
Runtime Insights Change How You Prioritize
The Runtime Insights feature separates Sysdig from scan-only platforms. It uses actual runtime data to rank risks, showing you what’s actively exploitable rather than everything theoretically vulnerable. This context dramatically reduces noise when triaging findings.
The Cloud Attack Graph correlates data across sources to surface dangerous attack paths. Automatic container image scanning, policy evaluation, and posture drift detection across cloud environments round out the prevention side.
Detection Capabilities Lead the Pack
Vulnerability detection, compliance violation identification, and cost optimization opportunities all get strong marks. The platform’s detection and response capabilities stop attacks in real time with solid coverage across cloud environments.
Scaling user and team management requires custom tooling.
Where Sysdig Makes Sense
We think Sysdig fits teams prioritizing runtime-informed risk prioritization over static-only approaches. If you need detection and response alongside posture management, the platform delivers strong capabilities.
Strengths
- Runtime Insights prioritizes risks based on actual exploitability data.
- Cloud Attack Graph correlates threats across multiple data sources.
- Real-time detection and response stops active attacks quickly.
- Automatic posture drift identification across cloud environments.
- Strong vulnerability and compliance violation detection capabilities.
Cautions
- No native tools for managing large team structures at scale.
- Some users mention that alert export to ticketing systems lacks full platform coverage.
Trend Micro Trend Vision One
Trend Vision One delivers container security with image scanning, policy-based admission control, and runtime detection and response. It extends protection from build through runtime using a single agent across multiple security modules. Built for organizations with mixed infrastructure including legacy systems alongside modern containerized workloads.
Single Agent Covers the Full Stack
The unified console and single agent approach simplifies deployment across diverse environments. The coverage is particularly strong for legacy Windows, Unix, and Linux servers that other cloud-native platforms often neglect. Zero-day protection scans container images during build and maintains continuous monitoring post-deployment.
Policy-based image management lets security teams create rules ensuring only approved containers reach Kubernetes. Developers get quick feedback on threats and vulnerabilities without waiting for separate scan cycles.
XDR Context Makes Investigation Easier
When something triggers, you get the full story. Where it came from, what it attempted, which other machines might be affected. That context eliminates detective work during incident response. Cross-layer threat tracking through Extended Detection and Response connects activities across your environment rather than treating each alert in isolation.
The new portal navigation frustrates some teams. Finding what you need takes longer than it should. Configuration changes for features like DLP require more effort than expected, and updates to endpoints take at least an hour to reflect. The usage-based pricing model draws complaints.
Where Vision One Fits
We think Vision One works best for organizations with heterogeneous infrastructure needing unified visibility across legacy and modern workloads. If you’re running older operating systems alongside containers, the coverage range matters.
Strengths
- Single agent covers multiple security modules from one console.
- Strong legacy OS support for Windows, Unix, and Linux servers.
- XDR provides cross-layer context during threat investigation.
- Policy-based admission control ensures only approved containers deploy.
- Threat history and pattern analysis aids proactive security planning.
Cautions
- Based on customer feedback, new portal navigation is difficult and slows daily operations.
- Based on customer reviews, configuration changes take at least an hour to reach endpoints.
Wiz Runtime Sensor
Wiz Runtime Sensor is an eBPF-based agent built for security teams running Linux hosts and Kubernetes clusters who need real-time threat detection without the overhead of traditional agents. It slots into Wiz’s broader CNAPP platform to give you runtime visibility alongside your existing posture management.
Lightweight Agent, Full Visibility
The sensor monitors processes, network connections, file activity, and system calls in real time. The eBPF approach delivers on performance expectations. You get detection without the resource drag that makes traditional agents painful in production.
The toxic combination engine stands out. It surfaces exploitable risks rather than flooding you with noise. Your engineering teams can triage independently because the prioritization is clear enough to act on without security hand-holding.
What Customers Are Saying
The security graph gets consistent praise. It connects issues end-to-end so you understand context, not just alerts. Setup time is minimal for a CNAPP platform.
Right Fit for Your Environment
We think this works best if you’re already invested in Wiz or evaluating unified CNAPP platforms. The runtime sensor adds meaningful depth to your cloud security posture. If you need standalone runtime protection without the broader platform, you might find the integration overhead unnecessary.
For teams running dynamic Kubernetes environments and wanting real-time detection with minimal performance impact, this deserves serious consideration.
What Customers Are Saying
Users value AI-powered threat prevention with real-time traffic monitoring and blocking. Image assurance validates container integrity before production deployment. Centralized dashboard consolidates compliance, risk, and traffic visibility.
Some users note that initial configuration and policy management require significant technical depth, however.
What Customers Are Saying
Customer feedback highlights Native Azure integration requires zero manual setup for implementation. Extends protection across aws and gcp for true multi-cloud coverage. Centralized dashboard with prioritized findings and easy task assignment.
Some reviews indicate that dashboard status updates lag behind actual remediation completion, however.
What Customers Are Saying
Customer feedback highlights Runtime Insights prioritizes risks based on actual exploitability data. Cloud attack graph correlates threats across multiple data sources. Real-time detection and response stops active attacks quickly.
Some reviews indicate that no native tools for managing large team structures at scale, however.
What Customers Are Saying
Customers consistently praise Single agent covers multiple security modules from one console. Strong legacy os support for windows, unix, and linux servers. Xdr provides cross-layer context during threat investigation.
Some customer feedback suggests that new portal navigation is difficult and slows daily operations, however.
Strengths
- eBPF-based design keeps resource overhead low on production workloads.
- Toxic combination engine prioritizes exploitable risks over alert noise.
- Security graph provides end-to-end context for faster investigation.
- Integrates directly into existing Wiz CNAPP deployment.
- Customer success support gets consistently positive feedback.
Cautions
- Some users have reported that vulnerability tracking struggles with autoscaling resource churn.
- Some customer reviews flag that initial telemetry volume can overwhelm new users during onboarding.
What To Look For In Runtime Security
Evaluating runtime security tools requires understanding the trade-offs between coverage range, alert accuracy, and operational overhead. Here’s what matters when you’re comparing options.
- Agent Overhead vs. Coverage Completeness: Agent-based approaches see everything but add resource consumption and deployment friction. Agentless scanning eliminates operational burden but captures less runtime context. Your infrastructure maturity and risk tolerance determine which trade-off works. Mature Kubernetes environments often tolerate lightweight agents for fuller visibility. Teams with sprawling cloud estates and limited ops staff benefit from agentless approaches.
- Alert Quality Over Volume: The difference between 100 daily alerts and 10 meaningful alerts determines whether your team responds effectively. Platforms using behavioral analysis, threat intelligence correlation, and exploitability ranking surface the attacks that matter. Alert fatigue from high-volume tools often leads to tuning that accidentally blinds you to real threats.
- Integration Depth Into Your Identity And Access Layer: Runtime tools that understand your identity posture, privilege usage patterns, and access controls provide better context for incident response. Platforms that exist as islands in your security stack miss lateral movement patterns that cross identity boundaries.
- Remediation Workflow Support: Detection is only valuable if your team can act on findings quickly. Platforms with clear risk prioritization, automatic drift remediation suggestions, and ticketing system integration reduce response time. Tools that surface findings without remediation paths create work rather than solve problems.
- Multi-Cloud Or Multi-Environment Consistency: If you run workloads across AWS, Azure, and GCP, the runtime tool should provide consistent protection without requiring separate configurations per cloud provider. Some platforms handle this elegantly; others force you to maintain distinct policies per environment.
How We Compared The Best Runtime Security Tools
We evaluated each runtime security platform across cloud-native environments, testing for real-world detection accuracy, false positive rates, and operational friction.
We reviewed each platform in Kubernetes clusters and containerized test environments, evaluating threat detection against known attack patterns and evaluating how effectively the platform distinguishes signal from noise. We assessed agent performance overhead, deployment friction, and how quickly each platform achieves operational visibility.
We reviewed customer feedback across independent platforms, focusing on deployment experiences, ongoing operational challenges, and integration friction with existing security tools. We evaluated documentation quality, support responsiveness, and whether platforms behave consistently across cloud providers.
The Bottom Line
Runtime security has matured significantly.
Most teams overestimate how many alerts they can effectively triage. The runtime tools that survive long-term in production environments are the ones that treat alert quality as the primary feature, not detection count. Your team’s focus should remain on infrastructure hardening and access control. Runtime detection is the backstop when those controls fail, not the primary security control. Choose platforms that respect that reality with alert design that supports your incident response workflows, not creates busywork.
FAQs
Everything You Need to Know About Runtime Security Tools (FAQs)
A runtime security tool is a software solution that is designed to support the protection of applications and systems against security threats and vulnerabilities during runtime. This is the period of time where the software is executing and interacting with the environment. These tools help by monitoring and analyzing application behavior in real-time to detect and block any malicious activity, abnormal behavior, and unauthorized access that might indicate a security breach has occurred.
Primarily used by developers, application security experts, and IT administrators, runtime security tools can dramatically reduce the risk of data breaches and other harmful cyber-attacks by adding an additional layer of protection. They monitor for abnormalities and violations in the application’s behavior and can automatically enforce rules and policies to protect sensitive data. They make the task of maintaining and securing an application’s runtime environment more manageable and less risky.
Runtime Security Tools are implemented into an application’s runtime environment to monitor, detect, and prevent threats in real-time. They work by analyzing the behavior of processes, memory usage, and network connections within the runtime environment. The tool notifies the relevant team when it detects abnormal activity that could indicate a security vulnerability or breach.
A significant advantage of Runtime Security Tools is its ability to operate continuously, allowing for constant protection and immediate threat response. They can understand the application’s normal behavior and flag any abnormal activities that could be indicative of an attempted breach or exploitation. These tools also improve incident response by providing organizations with a means of responding quickly and effectively to security incidents, minimizing their impacts, and mitigating the risk to data, systems, and users in the process.
Further benefits of utilizing these tools include:
- Compliance Assurance. These tools help organizations to meet regulatory requirements by enforcing necessary security policies and overseeing application behavior to scan for compliance violations.
- Reduced Security Costs. Proactive detection and prevention of security threats during runtime means that organizations can better avoid the financial and reputational costs that come with security breaches, data breaches, and compliance violations.
When choosing a runtime security tool, you should consider these key features:
- Real-time Threat Detection. A good runtime security tool should provide users with continuous monitoring and analysis of application behavior to allow for this detection of threats in real-time, as this helps to minimize detection and response times for security incidents.
- Anomaly Detection. Anomaly detection works by continuously monitoring application behavior and system activity. It does this to detect deviations from normal patterns or expected behaviors, which can then be flagged as potential security threats or vulnerabilities.
- Dynamic Policy Enforcement. The runtime security tool you consider implementing should be capable of enforcing dynamic security policies according to the application’s behavior and context. This is important as it allows organizations to adapt their security posture in real-time, in response to emerging threats and vulnerabilities.
- Integration. Any runtime security tools you use should easily integrate with your current software and IT systems to allow for seamless functioning. This means organizations can better leverage the capabilities of existing security tools and platforms, enhancing their overall security posture.
- Alert Prioritization. The runtime security tool you choose should intelligently prioritize alerts to help focus your security team’s efforts on resolving the most critical threats first. This is useful as it helps security teams to manage their workload more efficiently and respond to the most pressing security threats promptly.
- Detailed Logging & Reporting. Detailed logging and reporting are necessary for providing organizations with visibility into security events. This lets them track and analyze security-related incidents and generate audit trails for audit purposes.
- Scalability. As your business grows, the tool should be able to scale to accommodate increased data and system complexity.
Written By
Mirren McDade is a senior writer and journalist at Expert Insights, spending each day researching, writing, editing and publishing content, covering a variety of topics and solutions, and interviewing industry experts.
She is an experienced copywriter with a background in a range of industries, including cloud business technologies, cloud security, information security and cyber security, and has conducted interviews with several industry experts.
Mirren holds a First Class Honors degree in English from Edinburgh Napier University.
Technical Review
Laura Iannini is a Cybersecurity Analyst at Expert Insights. With deep cybersecurity knowledge and strong research skills, she leads Expert Insights’ product testing team, conducting thorough tests of product features and in-depth industry analysis to ensure that Expert Insights’ product reviews are definitive and insightful.
Laura also carries out wider analysis of vendor landscapes and industry trends to inform Expert Insights’ enterprise cybersecurity buyers’ guides, covering topics such as security awareness training, cloud backup and recovery, email security, and network monitoring. Prior to working at Expert Insights, Laura worked as a Senior Information Security Engineer at Constant Edge, where she tested cybersecurity solutions, carried out product demos, and provided high-quality ongoing technical support.
Laura holds a Bachelor’s degree in Cybersecurity from the University of West Florida.