What is Cloud Security Monitoring?
Cloud security testing is a continuous and ongoing process of observing and analyzing cloud-based resources, apps, infrastructure, services, and environments. It checks for various security threats, vulnerabilities, compliance risks, and other aspects.
Cloud ecosystems are changing dynamically so securing them is a must.
It needs and benefits from:
- Careful planning and precision
- The use of powerful cloud security testing tools
- Implementing agile testing methodologies, and cloud security monitoring best practices.
How Cloud Security Monitoring Works?
Cloud security monitoring supervises both physical and virtual servers in cloud environments. It continuously analyzes data and infrastructures to spot vulnerabilities and remediate threats. Cloud security monitoring relies on automation tools and services to provide organizations with ongoing support and assessment capabilities. It adds security features to existing infrastructures and leverages SIEM tools for active threat alerting and notifications. Cloud security monitoring may use third-party security management tools to reduce risks and eliminate costly data breaches. It collects log data across servers for analysis and alerts administrators about security management configurations.
Advanced cloud security monitoring solutions provide enhanced visibility into organizations, conduct zero-day vulnerability assessments, and can analyze large volumes of data in real time. They can provide regular updates, integrate with different servers and applications, and do audits. Most modern cloud security solutions can strengthen the cloud security posture of organizations, generate comprehensive reports, monitor databases, log files, source code, and servers, and deliver valuable insights to organizations about emerging threats, including helping them to design effective threat mitigation strategies.
Why Is Cloud Security Monitoring Important?
Cloud security monitoring is essential because it enables organizations to scan for security threats and bolster their defenses proactively. The cybercrime landscape is evolving quickly, and companies are not doing enough to keep up. Neglecting cloud security can lead to financial, reputational, and other losses. A single breach could jeopardize the company’s integrity and impact its business reputation in the future.
Cloud security monitoring analyzes processes and looks at user behaviors, workflows, and how third-party applications interact with an organization’s cloud assets. It maps global relationships, ensures continuous compliance, and secures user data privacy.
Tools & Techniques for Cloud Security Monitoring
Cloud security monitoring can use various tools and technologies to protect cloud environments from emerging threats. Some of these tools adapt and evolve as organizations scale up. The most common cloud security tools used by organizations are:
- Cloud Security Posture Management (CSPM) and Data Security Posture Management (DSPM) solutions
- Cloud Workload Protection Platforms (CWPP)
- Cloud Access Security Brokers (CASB)
- Identity and Access Management (IAM)
- Vulnerability Management and Compliance Monitoring solutions
- Network Traffic Analysis (NTA) tools
- Threat detection and encryption
Companies also do regular security audits and run penetration tests. They use Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS) among their primary cloud security monitoring techniques. Security Information and Event Management (SIEM) can collect and analyze logs from multiple sources to find out threats and anomalies. Cloud security monitoring techniques also involve encrypting sensitive data at rest and in transit to block unauthorized access. They also address known and unknown vulnerabilities to reduce attack surface.
Monitoring in Multi-Cloud Environments (AWS, Azure, GCP)
Multi-cloud monitoring solutions like SentinelOne can give you a single pane of glass view for all your cloud assets and resources. When it comes to cloud security monitoring in environments like Azure, AWS, and GCP, you need comprehensive visibility and a unified security approach. You tackle security across multiple layers and reduce silos. There are aspects like data collection, ingestion, and cross-cloud resource monitoring to consider.
You also have to track your spending and budget. It’s recommended to monitor cloud spending across all providers and optimize your resources accordingly. You can use automation tools for managing configurations and tasks in multi-cloud setups. You’ll also need Infrastructure-as-code scanning capabilities and will have to monitor for compliance policy violations, making sure that you properly address them.
What are the Benefits of Cloud Security Monitoring?
The following are the benefits of cloud security monitoring workflows for organizations:
- Modern cloud security monitoring solutions provide comprehensive threat protection and enhanced visibility into cloud architectures. Cloud security monitoring gives proactive responses, minimizes attack surfaces, and enforces data accountability and responsibility.
- Robust cloud security monitoring can improve critical data security, facilitate backups, and provide effective disaster recovery and planning for data breaches. Cloud security monitoring tools enforce security policies and apply limitations in data access by implementing the principle of least privilege access.
- Top-tier cloud security monitoring can respond to fluctuations in demand when monitoring and managing network traffic. It provides adequate cloud coverage, reduces costs, and optimizes server performance to manage workloads and lower charges. High availability and access to resources are another unique feature of cloud security. These tools provide a holistic overview of cloud security in real-time and offer 24/7/365 live monitoring.
- Cloud security monitoring provides continuous and ongoing support to organizations, performs regular audits, and helps identify compromised hosts. It prevents privilege escalations, spots indicators of comprise (IoCs) and quickly addresses them. Automated cloud security monitoring solutions can actively scan and detect vulnerabilities, protect sensitive information, and deliver valuable insights regarding keeping assets safe from hackers and malicious threat actors.
CNAPP Market Guide
Get key insights on the state of the CNAPP market in this Gartner Market Guide for Cloud-Native Application Protection Platforms.
Read GuideWhat are the Challenges of Cloud Security Monitoring?
The biggest cloud security monitoring challenges endanger organizations and put them at risk of serious data breaches. A single data breach can negatively impact companies, and once a data breach occurs, the organization’s reputation is at stake. Reputational damages are much harder to recover from than financial losses. The threat landscape constantly evolves, meaning users must dial down on cloud security monitoring practices and adapt to changing environments.
The following are the top challenges of cloud security monitoring in 2025:
- Data Breaches
- Compliance Violations
- Insecure APIs
- Insider Threats
1. Data Breaches
Data breaches rank at the top of cloud security monitoring challenges and for good reasons. Data may fall into the wrong hands, and cloud accounts can get hijacked. Implementing proper protocols to handle data appropriately and have penalties for data breaches is imperative. Customers and employers share responsibility and accountability for taking care of their data, and this should be made very clear in all organizations. The cloud model follows a shared approach and commitment to security, regardless of what existing Service-Level Agreements (SLAs) state.
2. Compliance Violations
Policy and regulatory compliance violations are another unique challenge in the cloud security landscape. Many international and domestic regulations apply to data that is transmitted. Examples include the EU Data Protection Act, FISMA, PCI-DSS, NIST, FERPA, and HIPAA. The right cloud security monitoring solution needs to eliminate regulatory oversights and ensure that data storage, transmission, and security standards adhere to these mandates’ requirements.
3. Insecure APIs
Cloud environments have multiple entry points, which means the possibilities of exploiting security vulnerabilities are endless for attackers. Insecure APIs are a gateway to cloud attacks and are an increasing trend around serverless functions. Every cloud ecosystem uses APIs, and attackers can overload them and cause them to malfunction by sending too many requests. API misconfigurations are common, and many organizations do not change the default settings, which puts them at risk.
4. Insider Threats
It is challenging to detect insider threats since organizations trust and verify employees before onboarding and hiring. Unfortunately, disgruntled employees can leak sensitive information as revenge or spite. Nobody should be given unrestricted access to data to cloud applications and databases inside the organization for that reason, and privileges should be granted on a need-only basis, automatically removed once the job is done.
What are the Best Practices for Cloud Security Monitoring?
The following are the Best Practices for Cloud Security Monitoring in 2025:
- Enforce Identity and Access Management (IAM)
- Train Staff
- Use SIEM for Cloud Security Monitoring
- Encrypt Data At Rest and In Motion
- Use Intrusion Detection and Prevention Technologies
- Conduct Regular Penetration Testing and Security Audits
1. Enforce Identity and Access Management (IAM)
High-quality identity and access management solutions can enforce proper security policies and implement role-based access controls. Experts recommend restricting account permissions, using password vaults, and rotating encrypted keys regularly so that malicious actors don’t get the chance to breach. Enabling multifactor authentication can also restrict access to sensitive information and is a good security monitoring measure.
2. Train Staff
Organizations should train their staff to recognize threats and know how to deal with them if they encounter them. Employees should understand the importance of taking personal accountability for protecting their data and be aware of the latest social engineering trends. Shadow IT practices are notoriously standard, and employees should learn how to use tools and systems to mitigate them. Proper knowledge makes it possible to prevent security breaches in combination with the best tools and solutions. Organizations should also invest in regularly testing their employees, enforcing continuous learning, and implementing potential countermeasures to stay ready to tackle emerging cyber threats.
3. Use SIEM for Cloud Security Monitoring
Modern SIEM solutions can simplify real-time cloud security monitoring and provide comprehensive visibility into infrastructures and cloud-based services. SIEM tools can continuously collect and analyze forensics data, create incident response and prevention plans, and implement workflows that automatically detect and remediate suspicious cloud behaviors. They also enable security teams to gather intelligence, address compromised assets, and mitigate cloud security risks across all endpoints. Good SIEM tools prevent data loss and provide adequate data backup and recovery planning.
4. Encrypt Data At Rest and In Motion
Encryption is a big part of cloud security, and all organizations should encrypt their data in motion and at rest. Some cloud vendors offer exclusive encryption services, and organizations can implement many encryption policies with these encryption products.
5. Use Intrusion Detection and Prevention Technologies
Intrusion detection and prevention technologies ensure consistent monitoring and analysis of data, network traffic, and even secure networks by implementing firewalling. Amazon, Google, and other major cloud service providers include IDPS workflows at an additional cost, and modern CSPM tools incorporate them.
6. Conduct Regular Penetration Testing and Security Audits
Organizations should conduct regular penetration tests and security audits to ensure that security functions perform as intended. Cloud vulnerability scanning protects cloud assets, finds misconfigurations, and remediates them. Additionally, organizations should audit access logs and correct security flaws identified through log analysis.
How SentinelOne helps in Cloud Security Monitoring?
SentinelOne’s AI-powered CNAPP gives you Deep Visibility® of your environment. It provides active defense against AI-powered attacks, capabilities to shift security further left, and next-gen investigation and response. Multiple AI-powered detection engines work together to provide machine-speed protection against runtime attacks. SentinelOne provides autonomous threat protection at scale and does holistic root cause and blast radius analysis of affected cloud workloads, infrastructure, and data stores.
Singularity™ Cloud Security can enforce shift-left security and enable developers to identify vulnerabilities before they reach production with agentless scanning of infrastructure-as-code templates, code repositories, and container registries. It significantly reduces your overall attack surface. Purple AI™ provides contextual summaries of alerts, suggested next steps and the option to seamlessly start an in-depth investigation aided by the power of generative and agentic AI – all documented in one investigation notebook.
SentinelOne’s agentless CNAPP is valuable to businesses and provides various features such as Kubernetes Security Posture Management (KSPM), Cloud Security Posture Management (CSPM), External Attack and Surface Management (EASM), Secrets Scanning, IaC Scanning, SaaS Security Posture Management (SSPM), Cloud Detection and Response (CDR), AI Security Posture Management (AI-SPM), and more.
It can scan container registries, images, repositories, and IaC templates. Perform agentless vulnerability scanning and use its 1,000+ out-of-the-box and custom rules. SentinelOne protects your Kubernetes clusters and workloads, reducing human error and minimizing manual intervention. It also enables you to enforce security standards, such as Role-Based Access Control (RBAC) policies, and automatically detect, assess, and remediate policy violations across the Kubernetes environment.
Use more than 2,000 policy assessments to make sure you’re always in step with the latest industry and regulatory standards. Automatically mitigate risk, pinpoint misconfigurations rapidly, and continually assess risk with SentinelOne’s automated workflows. You gain total visibility and can secure your cloud footprint with Singularity™ Cloud Security Posture Management, which is a key capability of SentinelOne Singularity™ Cloud Security (CNAPP) solution.
SentinelOne Singularity™ Cloud Workload Security helps you prevent ransomware, zero-days, and other runtime threats in real time. It can protect critical cloud workloads including VMs, containers, and CaaS with AI-powered detection and automated response. You can root out threats, supercharge investigation, do threat hunting, and empower analysts with workload telemetry. You can run AI-assisted natural language queries on a unified data lake. SentinelOne CWPP supports containers, Kubernetes, virtual machines, physical servers, and serverless. It can secure public, private, hybrid, and on-prem environments. There are also many other cloud security monitoring use cases you can explore with us.
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Get a DemoConclusion
The key to effective Cloud Security Monitoring is a proactive and layered approach to cloud security. Cloud security monitoring platforms like SentinelOne allow organizations to strengthen their security posture and implement automated workflows for continuous threat monitoring, detection, and remediation. Remember that there is no one-size-fits-all solution, and every organization is different.
Some companies get the best results by combining tools and approaches to enhance cloud security instead of just sticking to one solution. The best way to find out what works is to test different features. Most modern cloud security monitoring solutions offer a free trial period so that users can see if it works for them before they purchase a subscription and start using them long-term.
FAQs
Cloud security monitoring is the ongoing watch over your cloud environment—servers, storage, applications, network traffic, and user activities—to spot suspicious behavior in real time. It pulls logs, metrics, and events from every cloud resource into a centralized platform. Automated tools then analyze that data for anomalies—failed logins, abnormal data transfers, misconfigurations—and send alerts so you can act before a breach happens.
Cloud environments change fast, and without continuous monitoring you lose visibility into who’s doing what where. Real-time alerts stop small issues from becoming full-blown incidents by flagging unusual activity—privilege escalations, data exfiltration, or misconfigured permissions.
Monitoring also supports audits and compliance reports, ensuring you meet regulations like GDPR or HIPAA without scrambling for logs later.
Security monitoring in cloud computing means collecting and reviewing logs and telemetry from cloud workloads, containers, API calls, DNS queries, and network flows. You feed this data into a SIEM or XDR platform that normalizes formats, applies correlation rules, and runs behavioral analytics.
When something deviates from established baselines—say, a server suddenly reaches out to an unknown IP—you get notified to investigate immediately.
Key features include real-time threat detection through anomaly and signature analysis, automated alerts and response playbooks, and a unified dashboard that shows activity across AWS, Azure, GCP, or hybrid setups. You also need robust audit trails for compliance, scalable log aggregation to handle high volumes, and integrations with existing tools—anti-malware, identity providers, ticketing systems—for end-to-end visibility.
Start by defining what assets matter—VMs, containers, databases—and deploy lightweight data collectors on each. Send logs and metrics to a central SIEM or XDR solution. Configure baseline behaviors and set alert thresholds for deviations. Integrate automated response playbooks to isolate compromised resources.
Finally, review and update monitoring rules regularly as your cloud footprint evolves to avoid noise and keep alerts meaningful.
Focus on failed authentication attempts per minute, unusual API calls, spikes in outbound data transfer, privilege escalation events, and changes to critical configurations. Track mean time to alert and mean time to respond to measure the efficiency of your detection and response processes.
Also monitor the volume of generated alerts and false positive rates so you can tune thresholds and reduce fatigue over time.
Threat detection hinges on collecting logs, metrics, and events across compute instances, containers, firewalls, and identity systems. Advanced solutions apply machine learning to establish normal patterns, then flag deviations—like a user downloading large data volumes or new processes launching unexpectedly.
Correlation rules tie disparate events together, and automated alerts trigger response workflows to block or isolate the threat before it spreads.
Yes, they work differently because of where your systems live. Cloud monitoring runs on third-party servers that you access through the internet, while on-premise monitoring uses your own hardware and networks that you control completely. Cloud solutions handle maintenance and updates automatically, but you depend on internet connectivity. On-premise gives you direct control over your data and security settings, but you’re responsible for managing everything yourself. Cloud scales easily and costs less upfront, while on-premise keeps your sensitive data physically under your control.
There are several good options you can choose from depending on your setup. AWS CloudWatch works great if you’re running on Amazon’s platform and connects with over 70 AWS services automatically. Azure Monitor handles Microsoft environments well with built-in threat detection. DataDog offers enterprise-level monitoring across multiple cloud platforms with advanced analytics and machine learning capabilities. You can also use Google Cloud Observability, Grafana for flexible open-source monitoring, or SentinelOne for security-focused protection. These tools pull data from various sources and give you real-time visibility into performance, security, and costs.
You should monitor your cloud environments continuously, 24/7 without breaks. Real-time monitoring is critical because cloud infrastructure changes fast and issues can escalate quickly if you don’t catch them early. For mission-critical systems, check every 30-60 seconds with automated alerts when thresholds get breached. Most monitoring tools automatically collect metrics and send notifications when problems arise, so you don’t have to manually check everything constantly. Set up automated responses for common issues and make sure your monitoring never stops running in the background.