Best Cloud Security Monitoring And Analytics Software
Discover the top cloud security monitoring and analytics software with features like real-time monitoring, anomaly detection, and threat intelligence integration.
Written by
Joel Witts
Technical Review by
Laura Iannini
Quick Summary
For security teams managing complex multi-cloud environments, Wiz connects via API for agentless scanning with a graph-based approach that maps attack paths instead of isolated findings, enabling faster remediation prioritization.
If your development team needs unified vulnerability management without alert fatigue, Aikido bundles SAST, SCA, DAST, IaC scanning, secrets detection, and CSPM in one interface with reachability analysis filtering false positives.
For organizations already committed to AWS infrastructure, AWS Cloud Security consolidates findings from GuardDuty, Inspector, and Macie through Security Hub, with EventBridge enabling security automation without custom tooling.
Cloud security monitoring has evolved from simple dashboards showing what’s configured wrong to intelligent systems that understand attack paths and prioritize what actually matters. The challenge isn’t gathering data anymore, it’s making sense of it without drowning security teams in noise.
Organizations running multi-cloud infrastructure face a harder problem: no single tool sees everything with equal depth. A CNAPP excels at cloud posture and workload protection but may lack network visibility. A SIEM provides log correlation but requires extensive tuning. SASE platforms bundle web and app security but don’t always integrate cleanly with cloud-native tools. The result is platform sprawl and alert fatigue.
We evaluated multiple cloud security monitoring and analytics solutions across multi-cloud deployments, evaluating threat detection accuracy, alert signal-to-noise ratio, analysis capability, integration depth, and real-world operational overhead. We reviewed customer feedback to understand where feature claims diverge from production reality. What we found: the best solutions aren’t always the most feature-complete ones, they’re the ones that reduce noise and surface decisions your team actually needs to make.
This guide gives you the testing insights and decision framework to choose monitoring tools that provide visibility without overwhelming your team.
Our Recommendations
Your choice depends on whether you need agentless multi-cloud visibility, developer-focused vulnerability management, or native integration with your primary cloud provider.
- Best For Multi-Cloud Attack Path Analysis: Wiz deploys agentless across AWS, Azure, GCP, and Kubernetes, mapping your entire cloud estate via API.
- Best For Developer-First Vulnerability Management: Aikido consolidates SAST, SCA, DAST, IaC, secrets, and CSPM in one platform, filtering false positives with reachability analysis so teams focus on exploitable vulnerabilities.
- Best For AWS-Native Security Consolidation: AWS Cloud Security collects findings from GuardDuty, Inspector, and Macie through Security Hub with automated compliance checks against CIS and PCI DSS.
- Best For Flow-Based Network Threat Detection: Cisco Secure Cloud Analytics detects anomalies and lateral movement across AWS, Azure, GCP, and traditional infrastructure through flow-based visibility.
- Best For Endpoint-to-Cloud Threat Coverage: CrowdStrike Falcon Cloud Security extends CrowdStrike’s EDR heritage into cloud workloads with CSPM, container security, and workload protection across clouds.
Aikido Security is a code-to-cloud security platform that bundles SAST, SCA, DAST, IaC scanning, secrets detection, and CSPM into one interface. We think it’s one of the strongest options for small to mid-sized development teams who want unified vulnerability management without the tool sprawl or the alert fatigue that kills adoption. The reachability analysis is the headline feature, filtering out theoretical risks so teams focus on what’s actually exploitable.
Aikido Security Key Features
The auto-triage and false positive filtering determine whether a vulnerability is actually exploitable in your environment, keeping the alert queue focused on issues that matter. The platform covers AWS, Azure, and GCP for cloud posture management, with automated compliance checks against SOC 2, ISO 27001, CIS, and NIST. Severity scoring runs on a 0-100 scale. The AI AutoFix feature generates remediation suggestions for container images and VM vulnerabilities. Pricing starts at $350 per month with a free tier available.
What Customers Say
Customers consistently highlight the clean UI and fast onboarding. GitHub integration gets strong marks, and the developer-friendly presentation of findings helps engineering teams actually engage with security output. Support responsiveness comes up repeatedly as a positive. Something to be aware of is that advanced customization options feel limited for larger or more regulated environments. Reporting skews toward developers rather than security analysts, and the custom rules feature takes time to show its value.
Our Take
We think Aikido works best for small to mid-sized engineering teams adopting shift-left security. The noise reduction alone justifies evaluation; when alerts are trustworthy, engineers actually read them. Larger enterprises or teams needing deep security assessment reporting may find it lightweight, but for dev-first teams, the consolidated coverage is hard to beat at this price point.
Strengths
- Reachability analysis filters false positives so teams focus on exploitable vulnerabilities
- Single platform covers SAST, SCA, DAST, IaC, secrets, and CSPM
- AI AutoFix generates remediation suggestions for container and VM vulnerabilities
- Free tier available with paid plans starting at $350 per month
Cautions
- Customers note reporting is developer-focused; security analysts may want deeper assessment capabilities
- Reviews mention advanced configuration and policy tuning options are limited for complex environments
AWS Cloud Security
AWS Cloud Security is the native security stack for organizations committed to AWS. It’s not a single product but a collection of services: Security Hub for centralized findings, GuardDuty for threat detection, Inspector for vulnerability scanning, Macie for data classification, and IAM for access control. We think it’s the natural baseline for AWS-first organizations, and the tight integration across services delivers real operational value.
AWS Cloud Security Key Features
Security Hub aggregates findings from GuardDuty, Inspector, Macie, and third-party tools into a single pane. A major re:Invent 2025 upgrade added near real-time risk analytics with up to one year of historical trend data, period-over-period analysis, and cross-region aggregation. Automated compliance checks against CIS and PCI DSS run continuously without manual configuration. EventBridge integration enables automated response workflows. GuardDuty Extended Threat Detection now covers multi-stage attack sequences across EC2, ECS, IAM, S3, and EKS workloads.
What Customers Say
Customers praise the single-click deployment and detailed remediation guidance that comes with each finding. The compliance scoring helps teams prioritize fixes and track improvement over time. Something to be aware of is the steep learning curve for teams without dedicated AWS security expertise. Multi-region and cross-account configuration requires significant setup effort, and the depth of control through IAM and AWS Organizations, while powerful, demands AWS-specific knowledge to use effectively.
Our Take
If you’re running primarily on AWS and have the internal expertise to configure and maintain it, this stack delivers solid coverage without third-party dependencies. The 2025 Security Hub upgrades with historical trending and risk analytics are a meaningful improvement. Organizations running multi-cloud or those needing turnkey deployment should look elsewhere. The value scales with your AWS investment and your team’s familiarity with the ecosystem.
Strengths
- Centralized findings from GuardDuty, Inspector, and Macie through Security Hub
- Automated compliance checks against CIS and PCI DSS with remediation guidance
- EventBridge integration enables security automation without custom tooling
- Granular IAM controls support precise permission management across accounts
Cautions
- Reviews flag a steep learning curve for teams without dedicated AWS security expertise
- Users report multi-region and cross-account configuration requires significant setup effort
Cisco Secure Cloud Analytics (Stealthwatch Cloud)
Cisco Secure Cloud Analytics is a network detection and response tool built for flow-based visibility across cloud and on-premise environments. It covers AWS, Azure, GCP, and traditional network infrastructure, detecting anomalies, lateral movement, and data exfiltration through behavioral analytics rather than signatures. We found the entity modeling approach effective for surfacing threats that signature-based tools miss.
Cisco Secure Cloud Analytics (Stealthwatch Cloud) Key Features
The platform ingests flow data and logs from network and cloud sources, then applies machine learning to identify anomalies like insider threats, unauthorized access, and policy violations. Detection happens in near real-time. The agentless deployment model keeps setup straightforward. For existing Cisco shops, integration with SecureX and other Cisco components works smoothly. The platform transforms raw network traffic into actionable intelligence, revealing communication patterns invisible to perimeter tools. Cisco has now integrated Secure Cloud Analytics into Cisco XDR as part of a broader platform consolidation.
What Customers Say
Customers highlight the deep network visibility and quick detection of policy breaches. Teams with Cisco environments report smooth integration with vendor support assisting throughout. The ability to analyze historical flow data for investigations gets positive mentions. However, the tuning burden comes up consistently. Initial configuration and alert threshold adjustment take significant time before the platform stops generating noise. The interface feels dated, with reporting and dashboard customization feeling rigid.
Our Take
We think Secure Cloud Analytics fits best if you’re already invested in Cisco infrastructure and need network-level threat detection across hybrid environments. It’s strongest for teams comfortable with flow analytics who can invest the tuning time upfront. Organizations wanting a modern UI or turnkey deployment may find the learning curve frustrating. Note: Cisco has folded this product into its Cisco XDR platform, so teams evaluating should ask about the transition and future product direction.
Strengths
- Entity modeling detects anomalies and lateral movement that signature tools miss
- Agentless deployment with no specialized hardware requirements
- Deep flow-based visibility across cloud and on-premise network segments
- Integrates smoothly with existing Cisco infrastructure and SecureX
Cautions
- Users report significant tuning required before alert quality matches your environment
- Reviews mention the interface feels dated; dashboard and reporting customization is limited
CrowdStrike Falcon Cloud Security
CrowdStrike Falcon Cloud Security is a CNAPP that extends CrowdStrike’s endpoint heritage into cloud workloads. It covers CSPM, container security, workload protection, ASPM, and DSPM across AWS, Azure, and GCP. We were impressed by the compliance framework mapping, which translates well in executive and board reporting. If you’re already running Falcon for endpoints, extending into cloud security keeps everything in one console.
CrowdStrike Falcon Cloud Security Key Features
The compliance framework mapping shows posture percentages against multiple frameworks, which is strong for executive reporting. The console gives visibility into managed versus unmanaged assets, helping teams identify coverage gaps. Attack path visualization highlights misconfiguration chains that could lead to breaches. Policy customization is flexible, and out-of-the-box alerts cover common scenarios without heavy configuration. Real-time monitoring with host isolation enables rapid threat response.
What Customers Say
Customers praise the console design and consistent functionality across cloud providers. Teams appreciate the continuous addition of new alerts and compliance mappings, and real-time monitoring with host isolation gets strong marks. Something to be aware of is that new alerts default to enabled rather than opt-in, which creates noise until tuned. Report exports include more attributes than needed, making it difficult to share clean findings with remediation teams. Data export into ticketing systems lacks two-way sync.
Our Take
We think Falcon Cloud Security is strongest for enterprises with existing CrowdStrike investment who want unified visibility and MDR backing across endpoints and cloud. The compliance framework mapping is a real strength for board-level reporting. Teams needing streamlined data export or ad-hoc scanning workflows may find friction with the current reporting tools.
Strengths
- Compliance framework mapping produces executive-ready posture reporting
- Unified console covers CSPM, containers, workloads, and DSPM in one view
- Real-time threat monitoring with host isolation for rapid response
- Consistent functionality across AWS, Azure, and GCP environments
Cautions
- Reviews mention new alerts default to enabled, creating noise until manually tuned
- Users report report exports include excessive attributes, complicating team handoffs
Datadog Cloud SIEM
Datadog Cloud SIEM extends Datadog’s observability platform into security operations. We think it’s the strongest option for teams already using Datadog for monitoring who want threat detection without managing a separate SIEM stack. The platform analyzes operational and security logs in real time, with over 600 integrations covering cloud, identity, endpoints, and SaaS applications.
Datadog Cloud SIEM Key Features
The query performance is the standout capability; the platform processes terabytes of data and returns results quickly, which matters when you’re investigating an active incident. Built-in threshold and anomaly detection rules get you started without writing custom logic. The Bits AI Security Analyst, now generally available, cuts investigation time from hours to as little as 30 seconds by autonomously investigating threats across clouds and integrations. Content anomaly detection and sequence detection for multi-stage attacks were added in 2025. Workflow automation handles ticketing, escalations, and Slack notifications with minimal configuration.
What Customers Say
Customers highlight the visual interface and fast search as primary strengths. Teams appreciate the AI-driven insights that prioritize threats based on risk and entity analytics. Log source integration with APIs works smoothly for most cloud-native environments. Something to be aware of is the pricing model. Costs scale with data volume, which can get expensive at scale. Some customers flag a steep learning curve despite the familiar interface, and on-premise log forwarding is less polished than cloud-native integrations.
Our Take
We think Datadog Cloud SIEM fits best for cloud-native teams who value speed and unified workflows over traditional SIEM depth. If you’re already invested in Datadog for observability, adding SIEM keeps security and operations in one platform. The Bits AI Security Analyst is a strong addition for reducing investigation time. Organizations with significant on-premise infrastructure or tight budgets should evaluate the data volume pricing model carefully.
Strengths
- Query performance handles terabytes of data with fast response times
- Over 600 integrations cover cloud, identity, endpoints, and SaaS sources
- Bits AI Security Analyst cuts investigation time from hours to seconds
- Workflow automation connects to ticketing, chat, and remediation tools
Cautions
- Reviews flag pricing scales with data volume and can become expensive quickly
- Users report on-premise log forwarding is less mature than cloud-native integrations
IBM Cloud Monitoring
IBM Cloud Monitoring is a managed monitoring service built on the Sysdig platform, aimed at DevOps and infrastructure teams running containerized workloads. We think it’s a solid option for organizations with existing IBM Cloud investments who need full-stack telemetry with alerting, custom dashboards, and troubleshooting capabilities across hybrid environments.
IBM Cloud Monitoring Key Features
The platform collects metrics from IBM Cloud, other cloud providers, and on-premise infrastructure in one place. The container and microservices focus makes it a natural fit for teams running Kubernetes workloads, with automatic collection and reporting on metrics across cloud instances, containers, and orchestration. Custom metrics support covers Prometheus, JMX, and StatsD. IAM management through a separate console keeps user administration straightforward. Infrastructure-as-code support helps teams manage monitoring configuration alongside deployment pipelines.
What Customers Say
Customers highlight the customer success engagement and regular touchpoint calls, which is good to see. Bare metal server profiles and direct link options for hybrid deployments get positive mentions from teams with specific infrastructure requirements. Something to be aware of is that the web portal performance draws criticism for sluggish response times. Some data centers also lack VPC and PaaS services, which can limit deployment options in certain regions.
Our Take
If you’re already running workloads on IBM Cloud or need hybrid connectivity with IBM infrastructure, this makes sense. We think it’s strongest for teams with established IBM relationships who value the direct support engagement. Organizations comparing against AWS, Azure, or GCP native tooling will find fewer resources and community support available. The multi-cloud capability is real, but evaluate portal performance and regional service availability for your specific needs.
Strengths
- Multi-cloud metric collection covers IBM Cloud, other providers, and on-premise
- Container and microservices monitoring with full-stack telemetry
- Customer success engagement provides regular touchpoints and support
- Infrastructure-as-code support for managing monitoring configuration
Cautions
- Customers note web portal performance is sluggish
- Users report some data centers lack VPC and PaaS services
Logpoint Converged SIEM
Logpoint Converged SIEM is a European SIEM platform that bundles log management, UEBA, and SOAR into one SaaS offering. We think the taxonomy-first approach is the defining feature; Logpoint treats log standardization as foundational, which makes correlating events across cloud and on-premise systems more intuitive than the unstructured approach of traditional SIEMs. If you’re a European organization prioritizing data sovereignty, this is one of the strongest options to consider.
Logpoint Converged SIEM Key Features
The integrated SIEM and SOAR workflows operate from one console, reducing context switching during incident response. SaaS delivery means Logpoint handles architecture, updates, and scaling. The focus on meaningful data collection over raw volume helps teams extract insights without drowning in noise. Incidents map to the MITRE ATT&CK framework with graphical overviews of connections between artifacts. Logpoint is the only European SIEM with Common Criteria EAL3+ certification, and the platform is headquartered in Copenhagen.
What Customers Say
Customers praise the intuitive interface and how the platform makes security data feel manageable rather than overwhelming. The unified approach to detection and response gets positive marks, and European customers appreciate the data sovereignty positioning. Something to be aware of is that the structured query language and taxonomy require dedicated time to master. Some customers flag that reporting capabilities need improvement, and performance can slow with very large datasets.
Our Take
We think Logpoint fits well for European organizations prioritizing data sovereignty who want SIEM plus SOAR without managing multiple vendors. The taxonomy model pays off once teams invest in learning it, and the predictable pricing simplifies budgeting compared to volume-based alternatives. Organizations expecting a drop-in replacement for traditional SIEMs may find the structured approach requires adjustment initially.
Strengths
- Taxonomy model standardizes logs for easier cross-environment correlation
- Integrated SIEM and SOAR reduces tool sprawl and context switching
- SaaS delivery handles architecture, updates, and scaling automatically
- European data sovereignty with Common Criteria EAL3+ certification
Cautions
- Reviews mention the structured taxonomy and query language require significant learning investment
- Customers note reporting capabilities need improvement
Orca Security
Orca Security is an agentless cloud security platform that scans workloads, configurations, and identities without requiring log forwarding or prerequisite setup. It covers AWS, Azure, and GCP with a unified data model that contextualizes risks across the environment. We found the onboarding experience remarkably fast; connect your cloud accounts and scanning starts within minutes with no need to enable CloudTrail or Activity Logs first.
Orca Security Key Features
The side-scanning technology provides full environment visibility without agent installation overhead. Dashboards surface critical risks quickly with easy customization, and the Sonar search lets you query any cloud object for inventory details, alerts, and context. Findings include enough remediation detail that development teams can act without additional research. Attack path visualization helps prioritize what actually matters. The AI-powered Threat Investigation Agent automates risk analysis and produces containment recommendations.
What Customers Say
Customers consistently praise the intuitive interface and minimal learning curve. Jira integration and automated alerting streamline remediation workflows, and support responsiveness gets strong marks for quick issue resolution. Something to be aware of is that pricing is high with limited discount flexibility, and credit consumption can spike unexpectedly when onboarding new accounts. Some users also note that vulnerability validation could be more advanced for emerging threats.
Our Take
We think Orca fits best for teams prioritizing ease of use and attack path context over deep vulnerability research. The agentless deployment removes common adoption blockers, and the low false positive rate means findings get acted on rather than ignored. Budget-conscious organizations should model credit consumption carefully before committing, particularly for large multi-cloud deployments.
Strengths
- Agentless deployment connects in minutes without prerequisite log configuration
- Intuitive dashboards with low false positive rates reduce alert fatigue
- Sonar search enables flexible querying across all cloud objects
- Remediation details are actionable without additional research
Cautions
- Users report pricing is high with limited discount flexibility
- Reviews note credit consumption can spike unexpectedly when onboarding new accounts
Palo Alto Prisma Cloud Network Security
Prisma Cloud is Palo Alto Networks’ CNAPP covering cloud workload protection, CSPM, and network security across multi-cloud environments. We found the runtime protection and network visibility capabilities to be the distinguishing feature; prevention controls on serverless endpoints reduce exposure and provide visibility into command execution, which is a gap in many competing platforms.
Palo Alto Prisma Cloud Network Security Key Features
The platform monitors network flows, detects anomalies using machine learning, and provides microsegmentation capabilities. True Internet Exposure analysis shows which assets are actually reachable from the internet, reducing alert noise and false positives. Policy and compliance framework mapping works well out of the box with real-time threat detection. Once deployed, the platform runs with minimal ongoing intervention, and users report no significant outages.
What Customers Say
Customers highlight the broad feature set and the ease of onboarding. Central management of firewalls and security policies simplifies operations, and the platform stays stable. Something to be aware of is that support quality is a consistent concern. Users report slow resolution times, recurring issues, and repeated explanations even when referencing previous cases. The interface draws criticism for complexity, particularly around policy customization and log searching.
Our Take
We think Prisma Cloud Network Security fits best for enterprises already in the Palo Alto ecosystem who want consolidated cloud security with runtime protection. The True Internet Exposure feature is a real differentiator for cutting through false positives. Teams expecting responsive support or quick customization should factor the support experience into their evaluation. Note: Palo Alto Networks is transitioning Prisma Cloud into Cortex Cloud, so ask about migration timelines.
Strengths
- Runtime protection on serverless endpoints fills a gap in many competing platforms
- True Internet Exposure reduces false positives by showing actual reachability
- Policy and compliance mapping works well with minimal configuration
- Stable platform with no reported outages in customer feedback
Cautions
- Users report support resolution is slow with recurring issues and repeated explanations
- Reviews flag interface complexity around policy customization and log searching
Wiz
Wiz is a cloud-native application protection platform built for security teams managing complex multi-cloud environments. We think the graph-based approach is the standout feature; instead of presenting isolated findings, Wiz maps your entire cloud estate and identifies toxic combinations of risks that create actual attack paths. The platform connects via API for agentless scanning across AWS, Azure, GCP, and Kubernetes.
Wiz Key Features
The unified security graph correlates misconfigurations, secrets exposure, excessive permissions, and vulnerabilities into a single view. Toxic combination analysis surfaces real attack paths rather than theoretical risk scores; you see how a vulnerable VM with overprivileged access to sensitive data creates actual exposure. The platform ships with over 100 pre-built compliance frameworks and deploys in hours without agents or workload performance impact. Engineering teams use the platform independently to understand remediation priorities.
What Customers Say
Customers consistently praise the alert quality and risk prioritization. Deployment speed comes up repeatedly, with teams reporting onboarding in minutes rather than weeks. Integrations work well, particularly with AWS and ServiceNow. Something to be aware of is the steep learning curve due to feature density and data volume. The interface can feel overwhelming at first, and vulnerability tracking in autoscaling environments can produce inconsistent results as instances terminate and resurface.
Our Take
We think Wiz fits best for mid-market and enterprise teams running serious multi-cloud infrastructure who want one platform covering posture, workload protection, and entitlement management. The toxic combination analysis is a genuine differentiator for teams that need to prioritize based on actual exploitability. Smaller organizations should weigh the pricing carefully, but the ROI is there if you have the environment complexity to justify it.
Strengths
- Agentless deployment connects in hours with no performance impact on workloads
- Toxic combination analysis surfaces real attack paths, not isolated findings
- Security graph provides end-to-end context for prioritizing remediation efforts
- Over 100 pre-built compliance frameworks reduce audit preparation work
Cautions
- Reviews flag a steep learning curve due to feature density and data volume
- Users report vulnerability tracking in autoscaling environments can produce inconsistent results
Zscaler Zero Trust Cloud Connectivity
Zscaler Zero Trust Cloud Connectivity secures workload access to internet and private applications across public and private cloud environments. We think the direct-to-cloud architecture is the core value proposition; workloads connect directly to the Zero Trust Exchange rather than backhauling through network tunnels, which reduces attack surface while improving performance. If you’re committed to replacing VPNs with zero trust architecture, Zscaler delivers at enterprise scale.
Zscaler Zero Trust Cloud Connectivity Key Features
The platform covers ZTNA, full SSL inspection, DLP, browser isolation, and integrates with cloud posture management and digital experience monitoring. No appliances are required, and the architecture scales to 100% SSL inspection without hardware constraints. ZIA and ZPA policies apply full security inspection with identity-based controls. A March 2026 update expanded data sovereignty capabilities with in-region SSL inspection and HSM key control. The January 2026 AI Security Suite added discovery, governance, and runtime controls for enterprise AI usage.
What Customers Say
Customers praise the smooth VPN replacement and faster access to private applications. The cloud-native architecture gets strong marks for scalability, and real-time malware detection works well. Something to be aware of is the learning curve, especially for non-technical teams. Some users report bandwidth slowness with full inspection enabled, and reporting capabilities feel limited for in-depth analysis. The pricing may not accommodate smaller businesses, and some compatibility issues with certain operating systems have been flagged.
Our Take
We think Zscaler fits large enterprises committed to zero trust transformation who can absorb the complexity and cost. The security posture improvement is substantial for organizations that invest in learning the platform. The data sovereignty expansion and AI Security Suite are good to see. Smaller businesses should evaluate pricing carefully, and teams without dedicated security engineering resources should factor in the multi-portal administration overhead.
Strengths
- Direct-to-cloud architecture eliminates VPN backhauling and reduces attack surface
- Full SSL inspection at scale without hardware appliances
- Data sovereignty controls with in-region SSL inspection and HSM key management
- Integrates ZTNA, DLP, browser isolation, and threat detection in one platform
Cautions
- Reviews flag a steep learning curve, especially for non-technical teams
- Users report bandwidth slowness with full inspection enabled
What To Look For: Cloud Security Monitoring Checklist
When evaluating cloud security monitoring solutions, prioritize these six criteria:
Detection Accuracy and Noise Reduction: Does the platform use context to filter false positives? Can you tune detection rules without deep expertise? How much manual tuning is required before alert quality matches your environment?
Multi-Cloud Coverage: Does it cover AWS, Azure, and GCP equally or does one cloud lack depth? How well does it handle Kubernetes and container workloads? What about hybrid and on-premises infrastructure?
Analysis and Investigation Capability: Can you query data quickly during incident response? Are built-in analysis tools sufficient or do you need custom rules? How easy is it to correlate events across multiple data sources?
Integration and Automation: Does it work with your existing SIEM or observability platform? Can you automate response actions or is everything manual? How well does it integrate with your identity provider and ticketing systems?
Scalability and Cost: How does pricing scale with data volume or environment size? Will costs surprise you as your cloud footprint grows? Does the platform handle high-volume data ingestion efficiently?
Support Quality: Can support help with configuration and tuning or are they limited to infrastructure issues? Check third-party reviews for response time consistency.
How We Compared The Best Cloud Security Monitoring And Analytics Software
Expert Insights is an independent editorial team that researches, tests, and reviews cybersecurity and IT solutions. No vendor can pay to influence our review of their products. Our Editor’s Scores are based solely on product quality. Before testing, we map the full vendor landscape for each category, identifying all active vendors from market leaders to emerging challengers.
We evaluated 11 cloud security monitoring platforms across multi-cloud deployments, covering detection accuracy, false positive rates, analysis capability, integration depth, and operational overhead. We evaluated against realistic workloads simulating typical enterprise configurations. Each platform was tuned to production settings before measurement to ensure fair evaluation.
Beyond hands on testing, we conducted in depth market research and reviewed customer feedback to understand vendor claims versus operational reality. We spoke with security operations teams running these platforms at scale. Our editorial and commercial teams operate independently. No vendor can pay to influence our review of their products.
This guide is updated quarterly. For full details on our evaluation process, visit our How We Test & Review Products.
The Bottom Line
Cloud security monitoring works best when it reduces noise rather than creating it. Your choice depends on whether you prioritize attack path intelligence, observability integration, or data-centric security.
If you need intelligent prioritization for multi-cloud attack surface, Wiz surfaces real attack paths.
If you already run Datadog and want threat detection without tool sprawl, Datadog Cloud SIEM extends observability into security operations smoothly. Watch data volume costs at scale.
If data protection drives your security strategy, Palo Alto Prisma Cloud Network Security provides multi-cloud visibility with runtime protection and microsegmentation. Enterprise organizations benefit from its policy mapping and real-time threat detection.
Read the individual reviews above to dig into platform depth, integration requirements, and which capabilities matter for your monitoring architecture.
FAQs
Everything You Need To Know About Cloud Security Monitoring and Analytics Software (FAQs)
Cloud security monitoring and analytics solutions are tools that enable organizations to monitor, analyze, secure, and evaluate cloud-based infrastructure, services, and applications. This encompasses a broad range of technologies with the aim of helping organizations secure data stored in cloud applications.
Cloud security monitoring and analytics solutions can include multiple features and processes to assess the security of cloud-applications. They are designed to identify security vulnerabilities, remediate cloud-based threats, and provide detailed reporting and analytics so that security teams have all the information they need to improve security resilience.
Cloud security monitoring can include broad range of security services that each can help organizations secure their cloud infrastructure. Some of these services may overlap – they are often delivered as consolidated all-in-one security platforms using a SaaS model.
The different types of cloud security monitoring solutions can include:
- Cloud Access Security Brokers (CASB): Intermediary solutions that sit between cloud users and cloud applications to monitor and enforce security policies
- Cloud Security Posture Management (CSPM): Tools that continuously monitor cloud configurations to ensure they adhere to security best practices and compliance standards
- Cloud Native Application Protection: Solutions focused on securing applications built specifically for cloud environments, encompassing their lifecycle from development to runtime
- Cloud Workload Protection Platforms (CWPP): Security solutions that provide threat detection, response, and protection for workloads across public, private, and hybrid cloud environments
- Cloud Compliance Solutions: Tools that help organizations ensure their cloud deployments adhere to external regulatory and internal policy requirements
- Security Information and Event Management (SIEM): Platforms that provide real-time analysis of security alerts generated by various hardware and software components
- Secure Access Service Edge (SASE): A converged security model that combines network security and wide area networking capabilities in a cloud-centric service
- Extended Detection And Response (XDR): Advanced security solutions that provide automated threat detection and response across multiple security layers, including endpoints, networks, servers, and cloud
Cloud security services can be delivered as part of a broad variety of solutions and services. In order to deciding the key features that you need, you will first need to understand your organization’s specific risks and security needs. With that said – fundamental elements and considerations of Cloud Security Monitoring can include:
- Visibility: Understanding what’s in the cloud environment, including applications, data, users, and configurations
- Threat Detection: Continuously monitoring for malicious or suspicious activity. This can include identifying unusual access patterns, attempts to exploit vulnerabilities, or indications of a breach
- Compliance and Governance: Ensuring that cloud-based resources adhere to industry regulations and organizational policies. Regular audits and assessments can be used to ensure compliance
- Vulnerability Management: Regularly scanning and assessing cloud resources for vulnerabilities and misconfigurations that could be exploited by malicious actors
- Incident Response: Having a plan and tools in place to respond quickly if a security incident occurs. This includes the capability to identify, isolate, and remediate the threat
- Access Controls and Identity Management: Monitoring who has access to what within the cloud environment, ensuring that only authorized users can access sensitive resources
- Log Management and Analysis: Collecting, storing, and analyzing logs from various cloud resources to detect anomalies and security events. Log management solutions can provide insights into both security and operational aspects
- Data Protection: Monitoring data as it moves to and from the cloud, as well as when it’s at rest in the cloud, to ensure it remains confidential and unaltered
- Automation and Orchestration: Automated responses to particular security events, such as shutting down a compromised instance or adjusting firewall rules in real-time
Written By
Joel is the Director of Content and a co-founder at Expert Insights; a rapidly growing media company focussed on covering cybersecurity solutions.
He’s an experienced journalist and editor with 8 years’ experience covering the cybersecurity space. He’s reviewed hundreds of cybersecurity solutions, interviewed hundreds of industry experts and produced dozens of industry reports read by thousands of CISOs and security professionals in topics like IAM, MFA, zero trust, email security, DevSecOps and more.
He also hosts the Expert Insights Podcast and co-writes the weekly newsletter, Decrypted. Joel is driven to share his team’s expertise with cybersecurity leaders to help them create more secure business foundations.
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.