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Safeguard Data in your Cloud

Adopting NextLabs Zero Trust Data-Centric Security Suite

Hybrid and multi-cloud technologies are marking a transformative phase in enterprise technologies, steering beyond vendor dependency. Together, these strategies are fundamental in evolving intelligent enterprises, catalyzing more agile business practices in a competitive market.  

At the same time, this digital transition is a double-edged sword: as organizations migrate services and data to the cloud, they face exposure to increased attack surface, cybersecurity and regulatory risk. 

What's in the Cloud?

The cloud ecosystem encompasses a comprehensive suite of services including Infrastructure as a Service (IaaS) for virtualized computing resources, Platform as a Service (PaaS) for seamless application development, and Software as a Service (SaaS) for accessing web-based applications. Cloud-based products include:


Provides virtualized computing resources for users to run apps & perform tasks 


Offers scalable options for storing and managing data on the cloud  


Enables users to store, manage, and analyze structured data on the cloud 


Facilitates data analysis, visualization, and insights to make informed decisions


Connects and manages resources for secure and efficient data communication


Streamline software development, deployment, and automation processes 

Management Tools

Helps users oversee and optimize cloud infrastructure and resources


Protect data, apps, and infrastructure from threats and vulnerabilities

Business Services

Support business functions, such as CRM, marketing, and financial management

Cloud Data Security

What Enterprises Need

However, the extensive suite of services in the cloud leads to complex security challenges, and calls for targeted security requirements as outlined below:   

Securing data across multiple clouds and layers: Managing and securing data across multiple siloed cloud environments requires understanding the unique security features of each cloud application and preventing gaps in security protocols. 


IaaS Challenges

IaaS (Infrastructure as a Service) providers allow broad administrative and operational access, posing compliance challenges especially under mandates like Schrems II.


PaaS risks

Security posture heavily depends on the PaaS (Platform as a Service), meaning that application deployment carries a risk of data exposure to PaaS operators.


SaaS Dependencies

Clients rely on SaaS (Software as a Service) to secure data, this dependence brings cybersecurity risks and necessitates stringent security policies for data access.

Protecting data at its core: Utilizing shared services within the cloud, while efficient for data sharing, expands the attack surface, and calls for core-level data security  

Centralized Monitoring: Implement comprehensive monitoring by aggregating numerous logs from various access points, for visibility and control across different hybrid and multi-cloud platforms. 

How to Safeguard Data in the Cloud Anywhere

Common Approaches

Use Strong Authentication

Implement multi-factor authentication (MFA) to add an extra layer of security. This typically involves combining a password with another form of verification, such as a code sent to your mobile device

Unified Security Management

Implement a centralized security management system to enforce security protocols across multiple clouds and layers, reducing the complexity and gaps caused by the siloed cloud tech

Data Lifecycle Management

Establish policies for the entire data lifecycle, define processes for securely handling data at each stage to minimize exposure and reduce the risk of unauthorized access

Data Protection

Encryption: Use policy-based encryption solution to protect sensitive data both in transit and at rest.

Masking & Redaction: Implement data masking and redaction techniques to hide or anonymize sensitive information. This ensures that only authorized users can view complete data while limiting access to sensitive details.  

Prevent Data Leakage

Use policy-based data security control solutions to monitor, detect, and prevent unauthorized access and wrongful extraction. Data security policies can be configured to automatically protect data with proper safeguard, prevent access, block or quarantine data that violates security policies

Need to Know Access Controls

Enforce strict access controls based on the principle of least privilege. Implement attribute-based access control (ABAC) to ensure that users have only the necessary permissions to perform their specific tasks

Centralized Monitoring & Analytics

Deploy comprehensive monitoring solutions that aggregate logs from various access points, providing visibility and control across different hybrid and multi-cloud platforms

For more information about the common approaches to safeguard data in the cloud, read our article.

How NextLabs Delivers Dynamic Cloud Security

NextLabs delivers an automated cloud data access control solution with universal cloud compatibility, enabling you to oversee data security across any cloud service and data platform, regardless of size. 

Data-Centric Security

Secure data at its fundamental level, protecting data within cloud-based SaaS applications, files, and databases 

Zero Trust Policy Platform

Automate log processes, deploy policies autonomously, and orchestrate updates and distribution of policies without the need for human intervention. 

Real-Time Enforcement

Enable effective and immediate enforcement of security measures, which is achieved through the enforcers’ deep understanding of the cloud application's core models. 

Automation & Prevention

Diverge from traditional detect-and-respond models, proactively identify and mitigate risks before they become actual threats. This preventive strategy aims to minimize risks compared to the more resource-intensive methods of dealing with issues post-occurrence. 

Zero Code Approach with OOTB Integration

Require zero coding with out-of-the-box integration, offer seamless interoperability, enhanced usability, and rapid time to value. 


CloudAz is a centralized policy management platform with real-time enforcement that centralizes administration and employs a zero trust principle to enforce data-centric security measures and compliance in real-time. Its containerized architecture supports both Kubernetes-based and non-Kubernetes based cloud platforms to allow for seamless deployment. CloudAz runs natively on AWS, Azure, OpenShift and Google Cloud. 

SkyDRM provides persistent protection of unstructured data at rest and in transit, regardless of where it exists. It integrates with SaaS applications such as OneDrive, Google Drive, and Dropbox to protect sensitive documents stored in the cloud. Users can automate rights protection, view protected documents and share protected documents easily and securely within SaaS applications. 

Application Enforcer simplifies access management and uses ABAC to enforce the principle of least privilege, ensuring apps and data are accessed only by authorized entities. It works natively with leading enterprise apps, such as Microsoft Dynamics 365, ServiceNow, Salesforce and Slack, externalizing authorization and providing an extra layer of controls all without the need for custom coding.  

NextLabs Data Access Enforcer for Microsoft and Azure SQL (DAE for Microsoft and Azure SQL) provides dynamic data-level security controls and fine-grained data access governance for both Microsoft SQL and Azure SQL. DAE for Microsoft and Azure SQL enforces data-level security controls – such as field-level data masking and record level data segregation and monitors data access activity directly from within the data access layer.