Technical Review by
Laura Iannini
Cloud data security solutions protect sensitive data in cloud environments through encryption, access controls, and DLP enforcement — ensuring cloud-stored data receives equivalent protection to data managed on-premises. The complexity of cloud access patterns means data exposure incidents are often difficult to detect without purpose-built tooling. We reviewed the top platforms and found Thales, Aikido Security, and Acronis Cyber Protect Cloud to be the strongest on DLP enforcement and exfiltration detection.
Cloud data breaches happen when organizations lose visibility into where sensitive information lives and who can access it. The attack surface keeps expanding as you juggle multiple cloud providers, containers, and serverless functions. Traditional DLP tools weren’t built for this world, and legacy approaches create friction that drives users toward workarounds.
Correlating data location with permissions, vulnerabilities, and actual attack paths is what separates a good choice from a regretted one. You need to see the connections that exposure management tools miss. A file with PII sitting in a public S3 bucket matters more than a misconfigured security group, but most tools treat them equally.
We evaluated cloud data security solutions across AWS, Azure, and GCP environments, evaluating data discovery speed, context correlation, compliance reporting, and integration with existing security stacks. We focused on which platforms actually reduce alert fatigue and help teams prioritize remediation.
This guide identifies the solutions that combine agentless visibility with smart prioritization, so your security team spends time on risks that matter rather than chasing configuration noise.
Your ideal platform depends on your specific deployment requirements and which capabilities matter most.
Thales DSPM is a strong choice for organizations that need a security focused platform for multi-cloud environments. The platform is centered on the CipherTrust Data Security Platform. What sets Thales apart from most DSPM-only vendors is that CipherTrust doesn’t simply identify where sensitive data lives and hand off to third-party tools for protection; it runs the full encryption, tokenization, and key management stack natively.
Thales DSPM Key Features
The CipherTrust platform unifies data discovery, classification, encryption, tokenization, dynamic data masking, and centralized key management in a single environment. Most cloud-native DSPM tools focus heavily on visibility and posture assessment, and rely on external integrations to enforce protection controls. CipherTrust applies format-preserving encryption, vaultless tokenization, and dynamic masking directly at the data layer, across structured and unstructured stores, spanning AWS, Azure, GCP, on-premise databases, and SaaS environments.
The platform also covers agentic AI and generative AI workloads; policy-driven controls ensure that RAG pipelines, fine-tuned models, and AI agents can only access data they’re explicitly authorized to consume, and that sensitive data is encrypted or masked before it reaches AI systems. File Activity Monitoring extends visibility into unstructured data access patterns and user behavior across servers, cloud services, and file shares, reinforcing posture management with operational telemetry. Thales also integrates existing IAM and Hardware Security Module capabilities for granular identity governance and access control, with FIPS 140-3 Level 3 compliant HSM support.
Our Take
We think Thales DSPM is a strong option for organizations that need a single platform to cover discovery, classification, and native data protection without stitching together multiple vendors. The case is particularly strong for regulated industries and organizations with on-premise or hybrid infrastructure, where cloud-native DSPM tools often fall short. If your security requirements include full encryption key ownership, tokenization, and data masking enforced at the data layer, across cloud and on-premise environments, Thales is well worth the investment.
Aikido is a code-cloud-runtime security platform that protects cloud-based data across your cloud environments. It’s designed to help developers find and detect cloud infrastructure vulnerabilities faster and more effectively, and we recommend it as a strong platform for teams looking for cloud vulnerability management.
Aikido’s Cloud Security Posture Management solution continuously scans for misconfigurations, vulnerabilities, and compliance policy violations across your cloud infrastructure, including AWS, Azure, GCP, and more. Vulnerabilities are ranked by Aikido’s risk score system, which clearly prioritizes vulnerabilities based on their estimated risk to help you tackle problems in the most logical order. This also includes human-written summaries and remediation advice.
Aikido’s USP in this space is the custom rules engine it has built, which ingests data using continuous scans. Aikido supports Infrastructure-as-Code (IaC), SAST, DAST, and Software Composition Analysis (SCA), to provide complete code-to-cloud security. It’s one single platform that checks multiple boxes for developers and security teams.
Another strength of the Aikido platform is its automated compliance policy enforcement engine. The platform automates policy checks for standards like SOC 2, ISO 27001, CIS, and NIS2.
Aikido can be deployed in just a few minutes, and the interface is very modern and slick. Pricing is publicly available, starting at $350 USD per month, but a free plan is available for up to two developers. We recommend Aikido for teams looking for CSPM with code and runtime security in an all-in-one platform.
Acronis Cyber Protect Cloud bundles backup, anti-malware, and endpoint management into one platform built for MSPs. We think it’s a strong consolidation play for service providers managing protection across multiple clients who want to stop juggling separate tools. The platform is trusted by over 21,000 service providers.
The single-pane management approach works well for MSP workflows. Backup, threat monitoring, and endpoint protection all live in one console. AI-based threat detection handles ransomware and zero-day attacks alongside traditional malware. Full-image and file-level backup covers over 20 platforms, and recovery is fast when systems go down. Integration with ConnectWise, Kaseya, Datto, and Autotask means you’re not rebuilding workflows from scratch.
Teams consistently highlight the low learning curve. Engineers say they can delegate tasks to junior admins without extensive training. Automated backup and recovery workflows save significant time on daily operations. Something to be aware of is that console page loads can be slow, especially during complex operations, and the feature density can overwhelm users who only need basic backup.
We think Acronis fits MSPs looking to consolidate cyber protection vendors. The platform can cut costs by eliminating separate backup and security subscriptions. Add-on packs let you scale protection to specific client needs, and the EDR/XDR capabilities have improved significantly with recent updates.
Symantec Enterprise Cloud is a hybrid security platform targeting large enterprises with complex environments spanning devices, data centers, and cloud workloads. We think it fits organizations needing unified policy enforcement across on-prem and cloud infrastructure. Broadcom has recently launched Symantec CBX, which merges Symantec and Carbon Black capabilities into a unified XDR platform.
The compliance suite handles regulated environments well. You can apply consistent controls for GDPR, HIPAA, NIST, PCI, and SWIFT across your entire network from one place. The platform covers remote users, unmanaged devices, and BYOD scenarios. The security stack includes ZTNA, DLP, CASB, sandboxing, and behavior analysis. Integration with Symantec endpoint security and secure web gateway creates a cohesive suite.
Teams praise the stability and reliability of the platform. The unified approach simplifies administration for large environments. ZTNA and advanced threat protection get called out as standout capabilities. Something to be aware of is that initial setup and configuration complexity requires significant implementation effort, and regional support quality has declined since the Broadcom acquisition.
We think Symantec Enterprise Cloud works for large organizations already invested in the Broadcom ecosystem. If you need best-of-suite integration and strict compliance enforcement across hybrid environments, the platform delivers. The new CBX platform, expected later in 2026, could change the value proposition significantly for SOC teams.
Cisco Secure Cloudlock is a cloud-native CASB built to protect users, data, and applications across SaaS, PaaS, and IaaS environments. We think it’s a reasonable option for organizations running Google Workspace or Microsoft 365 that need shadow IT visibility and DLP without deploying agents.
The app discovery capability does the heavy lifting for shadow IT visibility. Cloudlock detects off-network cloud app usage automatically, giving you control over unsanctioned applications without proxies or endpoint agents. The cloud-friendly firewall uses machine learning to detect anomalies based on configured policies. DLP tools monitor continuously for sensitive data exposure.
Teams highlight automated risk management and customizable policies. Threat detection runs with low false positives, which means alerts get attention. Something to be aware of is that DLP policy configuration is difficult for complex or custom requirements. Support responsiveness has been inconsistent according to some users when troubleshooting advanced configurations.
We think Cloudlock works for organizations on Google or Microsoft cloud platforms who need CASB functionality without infrastructure overhead. If shadow IT visibility is your primary concern, the agentless discovery delivers. Something else to be aware of is that user feedback suggests the product hasn’t received significant feature updates recently, so teams with advanced requirements should evaluate whether it keeps pace with their needs.
CrowdStrike Falcon Cloud Security is an AI-native CNAPP that unifies workload protection, CSPM, identity management, and application security in one platform. We were impressed by the threat detection capabilities, which are backed by real adversary intelligence rather than generic rule sets.
The threat detection stands out from typical cloud security tools. CrowdStrike tracks over 200 adversary groups and feeds that intelligence directly into detection logic, so alerts tie back to actual attack patterns rather than isolated misconfigurations. The lightweight agent integrates cleanly with AWS environments. Real-time visibility covers EC2, containers, and IAM risks from a unified dashboard. Charlotte AI capabilities add agentic SOC automation for investigation and response.
Teams praise detection accuracy and consistent performance. The management console is intuitive once you learn the layout. Integration with existing EDR and SIEM solutions adds operational value beyond standalone cloud security. Something to be aware of is that low-risk configuration alerts can add noise that requires tuning to manage effectively.
We think CrowdStrike fits enterprise organizations that want threat-informed cloud security backed by real intelligence. If you’re already in the Falcon ecosystem, the integration value compounds. The adversary-focused approach to risk prioritization is a strong differentiator in this category.
Microsoft Defender for Cloud provides unified security posture management across Azure, AWS, and Google Cloud from a single console. We think it’s a strong fit for organizations with multi-cloud or hybrid environments who want native integration with the Microsoft ecosystem. Recent 2026 updates have expanded multi-cloud visibility to new AWS and GCP services.
The centralized dashboard delivers clear, prioritized recommendations for misconfigurations, compliance gaps, and vulnerabilities. We found the secure score particularly useful as a trackable metric for posture improvement over time. Coverage extends beyond Azure to AWS and GCP workloads, and on-premises VMs get protection through the same console. CI/CD pipeline security and IaC scanning catch issues before deployment. Integration with Microsoft Sentinel adds SIEM capabilities for teams already in that ecosystem.
Teams praise ease of implementation, especially within Azure environments. AI-powered threat detection and real-time notifications get consistent positive feedback. Something to be aware of is that recommendation status updates lag after remediation is completed, with the dashboard sometimes showing pending issues already resolved. Alert fine-tuning also requires significant time investment.
We think Defender for Cloud works best for organizations already invested in Microsoft infrastructure. If you’re running Azure workloads or using Sentinel for SIEM, the native integration creates real operational efficiency. The secure score is a very useful tool for tracking posture improvements across your cloud estate.
Prisma Cloud is a cloud-native application protection platform covering CSPM, workload security, identity management, and code security across multi-cloud and hybrid environments. We think it’s a strong option for organizations wanting a single platform to handle everything from IaC scanning to runtime protection. Palo Alto Networks is in the process of merging Prisma Cloud with Cortex CDR to create Cortex Cloud, with existing customers being transitioned.
Prisma Cloud covers the full cloud security lifecycle from a single console. IaC scanning built on Checkov covers Terraform, CloudFormation, Kubernetes, Helm, ARM, and Serverless Framework. Real-time container scanning catches vulnerabilities before production deployment. The platform supports over 100 compliance frameworks including CIS Benchmarks, PCI-DSS, HIPAA, GDPR, SOC 2, NIST 800-53, and ISO 27001. Coverage spans AWS, Azure, GCP, OCI, Alibaba Cloud, and IBM Cloud.
Teams highlight deployment simplicity relative to the platform’s scope. Multi-cloud visibility and the ability to monitor resources regardless of location get consistent praise. Something to be aware of is that dashboard information density can overwhelm users who need simpler views, and advanced features require specific implementation conditions that add complexity.
We think Prisma Cloud works well for organizations wanting consolidated cloud security without multiple point solutions. If you need code-to-runtime protection with strong compliance capabilities, the platform covers the full lifecycle. The transition to Cortex Cloud is worth monitoring, as it should bring deeper XDR integration.
Virtru provides a Google-focused encryption platform built on zero-trust principles for organizations running Google Workspace and Cloud Platform. We think it’s a strong fit for teams needing granular control over data protection and client-side encryption within the Google ecosystem. Virtru is FedRAMP authorized and supports compliance with CMMC 2.0, CJIS, and ITAR.
The Gmail integration makes encryption adoption practical. The toggle-on approach removes friction for end users, and push notifications prompt decisions about when to encrypt. We found this simplicity drives actual usage rather than creating another ignored security tool. Virtru is a certified partner for Google Workspace client-side encryption, covering Google Docs, Sheets, Slides, Meet, Calendar, and more. Key management options include on-premises, private cloud, and HSM integrations for data sovereignty.
Teams praise ease of initial setup and reliability. The plugin integrates directly into Gmail workflows without disrupting productivity. Strong access controls and compliance support help organizations meet regulatory requirements. Something to be aware of is that mobile app accessibility issues can disrupt remote work scenarios, and external recipients face friction when interacting with encrypted content.
We think Virtru works best for organizations standardized on Google Workspace who need encryption without changing user behavior. If compliance requirements demand client-side encryption and key control, the platform delivers those capabilities cleanly. The ability to revoke messages, disable forwarding, and set expiration adds real governance value.
Wiz DSPM scans cloud environments for sensitive data like PII, PHI, and PCI without deploying agents. We think it’s one of the strongest options in this category for security teams managing multi-cloud infrastructure who need visibility into where critical data lives and how it’s exposed.
The security graph is the standout. It correlates data location with permissions, public exposure, and vulnerabilities in one view, so you’re not chasing context across multiple consoles. Attack path analysis shows how an attacker could reach sensitive data, surfacing risks that would take hours to piece together manually. We were impressed by the agentless scanning, which covers storage buckets, PaaS databases, serverless functions, data warehouses, Snowflake, and OpenAI without deployment overhead. Wiz has also added DSPM for AI capabilities that automatically detect sensitive training data and proactively remove attack paths to it.
Agentless deployment and asset visibility get consistent praise. Teams highlight quick onboarding across cloud providers and the depth of configuration data across networks and applications. Something to be aware of is that GUI navigation frustrates some teams working on complex investigations, and API documentation lacks detail for teams building custom integrations.
We think Wiz DSPM works best for mid-size to large organizations running multi-cloud workloads. If you need to understand where sensitive data sits and who can access it, the security graph delivers real value. The compliance heatmap tracks PCI, GDPR, and HIPAA status across all cloud accounts. For smaller teams, the cost may not justify the investment.
Zscaler Data Protection is a cloud-native DLP platform that secures data across web traffic, SaaS applications, endpoints, and email from a unified policy engine. We think it’s a strong fit for large enterprises wanting to consolidate data protection under their existing Zscaler proxy infrastructure.
The single-policy approach is the key differentiator. You define DLP rules once and apply them to web, SSL traffic, applications, and devices. This eliminates policy fragmentation from running separate tools for each data path. Advanced classification includes Exact Data Match, Indexed Document Match, and OCR for detecting sensitive content in images. The platform now includes GenAI protection capabilities, with visibility into AI usage, prompt DLP, and the ability to block risky access. CASB, CSPM, CIEM, and UEBA round out the cloud risk management picture.
Teams praise inline DLP effectiveness and zip file scanning for detecting executables. Custom dictionaries and EDM get positive feedback. Policies are easy to manage and work consistently across modules. Something to be aware of is that the GUI organization and user experience need significant improvement, making day-to-day management harder than it should be.
We think Zscaler Data Protection works well for organizations already running Zscaler proxy who want to add DLP without another vendor. If you need unified policy across web, endpoint, and email, the platform is a natural extension. The GenAI protection capabilities are a timely addition for organizations concerned about data leakage through AI tools.
When evaluating cloud data security platforms, we’ve identified eight essential criteria that separate solutions that deliver value from those that add noise. Here’s your evaluation checklist.
Data Discovery and Classification Accuracy: Does the platform accurately identify PII, PHI, PCI, and custom data types? Can it scan across S3, alongside Blob Storage and other cloud repositories without blind spots? Does it handle structured and unstructured data equally well?
Context and Attack Path Correlation: Can it connect data location with permissions, public exposure, and vulnerabilities? Does it show actual attack paths rather than isolated findings? Can you understand whether a misconfiguration actually puts your data at risk?
Multi-Cloud Coverage: Does it scan AWS, Azure, GCP equally? Are there blind spots with smaller cloud providers? Can you maintain consistent policies across heterogeneous cloud environments?
Deployment Complexity: Is it agentless or does it require deployment? How quickly can you get from zero to visibility? What’s the ongoing operational overhead?
Alert Noise and False Positive Filtering: Does the platform reduce noise or add to it? Can it distinguish between actual risks and benign configurations? Are prioritization algorithms transparent or black box?
Compliance Reporting and Audit Ready: Can you demonstrate posture for PCI, HIPAA, GDPR, and other frameworks? Do reports come out of the box or require significant customization? Can your audit teams consume the output directly?
Integration with Existing Security Tools: Does it connect to your SIEM, SOC automation platform, or ticketing system? Can findings flow to the tools where your team already works? Or does it create another siloed data source?
Pricing Model and Total Cost Ownership: Is pricing based on data volume, workload count, or seats? Can you predict costs as your cloud footprint grows? Do licensing terms support your deployment timeline?
Weight these criteria based on your organizational maturity. Teams managing regulated data need strong compliance reporting. Development-heavy organizations need low false positive rates. MSPs managing multiple clients need consolidation and multi-tenancy support. Match your priorities to platform strengths before deciding.
Expert Insights is an independent editorial team that researches, tests, and reviews cloud security solutions. No vendor can pay to influence our review of their products. Our reviews are based on product quality and operational reality.
We evaluated 12 cloud data security platforms across AWS, Azure, and GCP environments. For each platform, we assessed data discovery accuracy, false positive rates, multi-cloud support, alongside compliance reporting quality and integration capabilities with existing SOC tooling. we reviewed each solution in controlled environments simulating enterprise workload distribution and measured how quickly teams could achieve visibility and reduce alert fatigue.
Beyond hands-on testing, we conducted market research and reviewed customer feedback across third-party review platforms to understand real-world deployment challenges. We validated vendor claims about detection accuracy and performance against actual customer experiences. Our editorial and commercial teams operate independently, ensuring no vendor influence on scoring or recommendations.
This guide is updated quarterly. For details on our evaluation methodology, visit Expert Insights How We Test & Review Products.
Cloud data security choices depend on your deployment model, compliance requirements, and whether you need specialized data tools or consolidated platforms.
For rapid multi-cloud visibility, Wiz Data Security Posture Management agentless scanning covers AWS, Azure, and GCP without infrastructure overhead. The security graph contextualizes risks that matter most.
If you need unified cloud protection beyond data, Palo Alto Networks Prisma Cloud covers CSPM, workload security, code scanning, and compliance in one platform.
For development teams wanting code and cloud security together, Aikido Security eliminates false positive fatigue with reachability analysis. Single console for SAST, SCA, IaC, and containers means less tool sprawl.
MSPs managing multiple clients get consolidation value from Acronis Cyber Protect Cloud. Backup, threat protection, and endpoint management from one console cuts vendor costs and simplifies client offboarding.
For regulated enterprises standardized on Microsoft, Microsoft Defender for Cloud delivers Azure, AWS, and GCP coverage with native Sentinel SIEM integration. Compliance frameworks come out of the box.
Organizations running hybrid infrastructure benefit from Broadcom Symantec Enterprise Cloud. ZTNA, DLP, and CASB in one platform with consistent policy enforcement across on-prem and cloud.
For Google Workspace shops needing encryption controls, Virtru Google Cloud Encryption delivers client-side encryption with straightforward Gmail integration that users actually adopt.
Review the detailed assessments above to match your specific requirements, data discovery speed, compliance framework support, and multi-cloud flexibility all factor into the right choice for your environment.
Cloud Data Security solutions work in a number of ways to address a raft of risks associated with storing and utilizing data from the cloud. It is essential that this type of platform has a range of features at its disposal, to properly address as wide a range of threats as possible.
Some of the key areas that Cloud Data Security platforms will be designed to address include:
One of the key ways that Cloud Data Security solutions achieve this is through applying consistent and robust encryption across all of your data. This ensures that even if an attacker were to gain access to your data, they would be unable to access or understand it. Common encryption methods include AES-256.
This allows you to strike the balance between ensuring data is properly protected, whilst making it accessible and usable for users. Data that has too many security protections may be unmanageable, and not flexible enough for diverse workforces.
Whilst addressing these issues, Cloud Data Security tools will ensure that there is a high level of visibility and that processes are logged. This improves the auditing processes, where you will need to prove that you are acting properly and adhering to the expectations placed on you.
Finding the right data protection solution for your organization should be a top priority. Failure to do so could lead to preventable attacks being successfully carried out on your organization. As well as the direct threat to your and your customer’s data, you risk tarnishing your brand image and trustworthiness, thereby reducing your future potential customer base. When trying to identify the ideal solution for your organization, you should look for the following features.
Visibility – Your platform should allow you extensive insight into your network and the risks that you face. When you are able to better understand these risks, you can ensure that your policies are appropriate and effective.
Reporting – Linked to having extensive visibility, easy and customizable report generation is essential to explain the measures you take to keep customer and stakeholders’ data safe.
Strong Encryption – In order to effectively safeguard all your data, at rest and while in transit, effective encryption is essential. AES-256 is the gold-standard for encryption as it is virtually impossible to break, even for today’s supercomputers.
Regulatory Alignment – The ideal solution will align with prominent data regulation frameworks to ensure that you are meeting all of your obligations.
The recent mass migration to the cloud has encouraged some organizations to question how safe the cloud is, and if it is an appropriate place to store data. Transferring processes to the cloud does improve flexibility, allowing users to work across a wider range of devices, from a range of locations. If you fail to take proper, precautionary steps, there are dangers associated with the cloud. The vast majority of these, however, can be eliminated, or, at least, mitigated. Common risks facing your cloud data include:
The first step in protecting yourself from the risks associated with securing cloud data is to gain visibility to understand what the risks are, and how they may affect your organization. These risks tend to revolve around data loss and privacy or confidentiality breaches. If you take the proper steps and implement the appropriate policies, many of these threats are easily reduced.
For more on the rise of the cloud and how to protect your data, head to our interview with Rich Lilly of Netrix LLC here:
Alex is an experienced journalist and content editor. He researches, writes, factchecks and edits articles relating to B2B cyber security and technology solutions, working alongside software experts.
Alex was awarded a First Class MA (Hons) in English and Scottish Literature by the University of Edinburgh.
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.