NextLabs Blog

Learn how to enhance threat detection in enterprise applications with SIEM, cloud logs, and real-time monitoring from Christophe Foulon.

As organizations embrace cloud-first strategies, remote work, and Zero Trust principles, old-school access control methods—like ACLs and static roles—just can’t keep up. They weren’t built for today’s dynamic, perimeter-less environments, where access requests come from anywhere, at any time, on any device.

Learn how to implement advanced data-centric security solutions to neutralize the impact of ransomware attack.

Secure SAP cloud migrations with insights from Andreas Kirchebner at Accenture on access control, compliance, and best practices.

Discover how supply chain attacks happen and why they are a growing threat, with insights from IT professional, Nazia Sharieff.

Achieving compliance, especially under the updated CMMC 2.0, remains a challenge for many. NextLabs patented dynamic authorization technology and industry leading zero trust policy platform helps organizations meet CMMC 2.0 requirements by identifying and protecting sensitive CUI and FCI, monitoring and controlling access, and preventing regulatory violations – whether in the cloud or on premises.

As more organizations embrace Zero Trust security models, the need for fine-grained, dynamic access control has never been greater. Traditional models like Role-Based Access Control (RBAC) struggle to keep pace with today’s complex, fast-changing IT environments. That’s where Attribute-Based Access Control (ABAC) comes in—a modern, flexible approach that enables real-time, context-aware access decisions.

As the Department of Defense (DoD) and other federal agencies move rapidly toward Zero Trust Architecture (ZTA), many organizations are reevaluating their security models to align with a data-centric, policy-driven approach. Aligning with the DoD Zero Trust Reference Architecture (ZTRA) Version 2.0 requires more than just technology updates—it calls for a fundamental shift in how access, identity, and data are managed across increasingly complex environments.

DLP ensures that sensitive information does not leave the corporate network. DLP is a combination of methods and technologies that categorize, identify, and safeguard data in three states: data in use, data at rest, and data in motion.

Data breaches pose a major threat, with an average cost of USD 4.45 million in 2023, according to IBM. Unauthorized access can result in data loss, especially in high-risk industries such as energy and manufacturing. To mitigate this, organizations must implement strong Data Loss Prevention (DLP) strategies, incorporating technologies like data classification and granular access control.

In today’s digital-first world, the old ways of defending enterprise systems—guarding the network perimeter and trusting everything inside it—just don’t cut it anymore. Cloud computing, remote work, IoT, and edge computing have shattered the traditional security perimeter, exposing more vulnerabilities than ever. So how do you protect your most critical asset in this new landscape? The answer: Zero Trust Data-Centric Security.

As organizations embrace cloud-first strategies, remote work, and Zero Trust principles, old-school access control methods—like ACLs and static roles—just can’t keep up. They weren’t built for today’s dynamic, perimeter-less environments, where access requests come from anywhere, at any time, on any device.

As cybersecurity threats escalate and compliance demands become more complex, protecting data is no longer just one aspect of enterprise security—it’s the foundation of it. A Zero Trust Data-Centric Security model shifts the focus from defending the perimeter to continuously verifying access and protecting sensitive information wherever it resides.

As more organizations embrace Zero Trust security models, the need for fine-grained, dynamic access control has never been greater. Traditional models like Role-Based Access Control (RBAC) struggle to keep pace with today’s complex, fast-changing IT environments. That’s where Attribute-Based Access Control (ABAC) comes in—a modern, flexible approach that enables real-time, context-aware access decisions.

In an environment where cyber threats are escalating and federal cybersecurity expectations are rising, protecting Controlled Unclassified Information (CUI) is no longer optional—it’s a strategic and regulatory imperative. For companies operating in defense, energy, or other critical infrastructure sectors, ensuring that sensitive data remains secure is key to maintaining trust, meeting compliance mandates, and staying competitive in the federal contracting space.

As the Department of Defense (DoD) and other federal agencies move rapidly toward Zero Trust Architecture (ZTA), many organizations are reevaluating their security models to align with a data-centric, policy-driven approach. Aligning with the DoD Zero Trust Reference Architecture (ZTRA) Version 2.0 requires more than just technology updates—it calls for a fundamental shift in how access, identity, and data are managed across increasingly complex environments.

The U.S. Department of Defense (DoD), recognizing the growing risks in the digital battlefield, has implemented the Cybersecurity Maturity Model Certification (CMMC) program. This initiative marks a significant shift in the DoD’s approach to securing the defense industrial base (DIB).

As cyber threats evolve, traditional perimeter-based security methods are no longer sufficient. With the rise of cloud computing, remote work, IoT devices, and multi-cloud environments, enterprises need a more adaptable and scalable security model: Zero Trust Data-Centric Security.

In the dynamic world of pharmaceuticals and life sciences, managing a deluge of sensitive data, spanning from patient records to groundbreaking research, is a daunting yet crucial task. This sector, at its core, intertwines with intricate data privacy and confidentiality obligations, not just as a compliance necessity but as a cornerstone of patient trust and corporate integrity.

Pivotal legislations such as the European Union’s General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) have set formidable benchmarks in personal information protection. It is incumbent upon organizations to navigate these regulations diligently to maintain consumer trust and eschew severe fiscal penalties. This discourse aims to unravel the intricacies of GDPR and CCPA and delineate the role of NextLabs in bolstering organizations’ adherence to these stringent consumer data protection mandates.

In the dynamic and often perilous landscape of cybersecurity, safeguarding sensitive government data is not just a priority but a necessity. The implementation of the Zero Trust Executive Order 14028 alongside the Federal Government Mandate M-22-09 marks a critical pivot towards fortifying the cybersecurity frameworks of federal entities. This article delves into the heart of these groundbreaking initiatives, examining their synergies and explicating the integral role of NextLabs in enabling organizations to meet and surpass these stringent standards.

DLP ensures that sensitive information does not leave the corporate network. DLP is a combination of methods and technologies that categorize, identify, and safeguard data in three states: data in use, data at rest, and data in motion.

Discover how AI can be used to prevent insider threats. Leverage AI to identify risks early by analyzing employee sentiment, digital behavior changes, and potential negligence before incidents occur.

Profiles are a specialized application of the NIST CSF, developed to address the unique cybersecurity requirements of specific communities. Unlike Organizational Profiles that focus on individual entities, Community Profiles are designed for broader groups.

Check out part 2 of the comprehensive guide on how to integrate AI with the ZTA framework to revolutionize enterprises' cybersecurity strategy.

Discover the comprehensive guide on how to integrate AI with the ZTA framework to revolutionize enterprises' cybersecurity strategy.

Data safety and zero-trust are the new norm of data centric security in a global business world constructed by cloud, data, and applications.

In this overview, we dive into importance of implementing a zero-trust architecture (ZTA) and how enterprises can extend its efficacy.

Uncover the top five security challenges CISOs must tackle as AI revolutionizes industries, revealing the critical areas that demand immediate attention.

Explore the three key pillars of safeguarding AI, and how two powerful approaches, Zero Trust Architecture (ZTA) and Data-Centric Security (DCS), can be applied to protect AI systems.

In this article, we will explore different types of AI threats, and four critical pillars of safeguarding AI based on Zero Trust Architecture (ZTA) and Data-Centric Security (DCS).

Zero Trust Policy Management (ZTPM) applies Zero Trust principles for effective policy management. It is crucial to take a data-centric approach to achieve ZTPM.

Runtime authorizaiton enables authorization decisions to be made in real-time when the user is accessing an application or data.

Find out about Zero Trust Authorization and Zero Trust Data Security and how you can implement it for your organization.

Find out about Zero Trust Data Protection and Zero Trust Data Security and how you can implement it for your organization.

Microservices, otherwise known as microservices architecture, refers to an architectural approach that is composed of many small services which are loosely coupled and independently deployed.

Format-Preserving Encryption, or FPE, refers to encryption where the encrypted output is in the same format as the input, or the original data.

Logical data segregation is the practice of logically separating data based on specific criteria like sensitivity, access requirements, and more.

Logical data segregation empowers organizations to efficiently manage data, enhance data governance, and build trust with stakeholders.

Secure Access Service Edge (SASE) is a concept introduced by Gartner in 2019 which combines network and security capabilities as a service, based on the identity of device or entity, and real-time context.

ITAR Compliance refers to the adherence to the regulations outlined in the International Traffic in Arms Regulations (ITAR), a crucial framework governing the export and transfer of defense-related articles, services, and technical data.

“Technical data” refers to a critical component of information that accompanies physical items or technology. It encompasses a wide range of data, including blueprints, diagrams, schematics, formulae, engineering designs, plans, photographs, manuals, and documentation.

Zero Trust and Data Centric security can be complementary approaches to security. Zero Trust can help to limit access to sensitive data, while Data Centric security can help to protect the data itself. By combining the two approaches, organizations can create a comprehensive security strategy that provides both network-level and data-level protection, helping to improve their overall security posture.

XACML stands for “eXtensible Access Control Markup Language”. It is an XML-based markup language designed specifically for Attribute-Based Access Control (ABAC). The standard defines a declarative fine-grained, attribute-based access control policy language, an architecture, and a processing model describing how to evaluate access requests according to the rules defined in policies.

In the attribute-based access control (ABAC) architecture, the policy information points (PIP) are the system entity that act as a source of attribute values.

Authorization as a Service (AaaS) refers to using third-party service technology to manage authorization in all of your applications. Instead of manually changing individual authorization policies when there are changes in the company, AaaS technology allows you to centrally manage authorization across your applications.

Centralized policy management is an essential component of a successful Zero Trust implementation. By consolidating and managing access policies from a central location, a centralized policy management system helps organizations streamline their security posture, automate policy enforcement, and ensure compliance with regulations and best practices.

Document security refers to measures taken to prevent data in documents from being wrongfully accessed, manipulated, or reproduced. Examples of document security measures include encrypting documents, controlling access to confidential information, and monitoring the use of documents and files.

File security refers to the methods and techniques used to protect files and data from unauthorized access, theft, modification, or deletion. It involves using various security measures to ensure that only authorized users can access the files, and that the files are protected from malware, viruses, and other security threats.

Dynamic data masking applies real-time data anonymization based on user user attributes, data sensitivity, and the environment at the moment of the access request.

The current exponential growth of global digital business networks results in the need for enterprises to apply DRM for managing, controlling, and securing critical online assets from unauthorized users. NextLabs SkyDRM is a Digital Rights Management solution that provides persistent protection to safeguard files and enables secure sharing.

Digital rights management (DRM) protects sensitive, business-critical data, enabling secure creation, editing, and sharing in dynamic, collaborative environments.

Information Rights Management extends far beyond traditional data security measures. It is the solution that allows organizations to maintain the integrity of their data, protecting it from unauthorized access and potential breaches. It secures critical information, such as intellectual property, financial records, and healthcare data, with a level of precision that conventional security methods cannot achieve.

Cloud native refers to the process of developing and deploying applications that make use of the distributed computing capabilities provided by the cloud delivery model. With the aid of this technology, businesses can develop and operate scalable applications in modern, dynamic environments including public, private, and hybrid clouds.

Policy enforcement in data security refers to the process of ensuring that the security policies and procedures implemented by an organization are followed consistently by its employees, partners, and stakeholders. It involves using various technical and administrative controls to prevent unauthorized access, use, disclosure, modification, or destruction of sensitive information.

Document security, or document access security, is the process of safeguarding documents and files from unwanted access or theft. It also refers to procedures carried out to prevent data from being manipulated or reproduced wrongfully.

Row-Level Security, or RLS, refers to the practice of controlling access to data in a database by row, so that users are only able to access the data they are authorized for.

A Trade Management System (TMS) serves as a centralized hub for crucial information related to export control compliance.

ITAR-related technical data refers to information, or data that provides details about the design, development, or use of defense articles.

Policy Lifecycle Management is the process of creating, implementing, monitoring, reviewing, and updating current data security policies.

In an extended enterprise ecosystem, companies encounter numerous challenges of protecting their confidential PLM data.

Data Access Service Edge (DASE) is an extension of SASE, designed to fortify data access in hybrid and multi-cloud environments to enhance enterprise security.

DRM plays a major role in policy-driven data protection and is a popular tool for securing data both in transit and at rest.

Extending PLM security to protect digital twin is paramount to prevent potential data breach, especially in supply chain collaboration.

In today’s competitive landscape, product design and development are vital. Companies use CAD and PLM software to optimize processes and manage products from start to finish. Since these designs often contain sensitive intellectual property shared internally and externally, protecting CAD and PLM data is crucial to prevent IP theft and ensure long-term success.

Centralized policy management is the practice of managing access policies from a single, centralized location. It typically provides a web-based interface for administrators to create, modify, and distribute policies across the organization.

One of the biggest concerns for organizations is how to ensure that the data they keep on shared systems is not inadvertently made available to the wrong individuals.  With systems potentially being shared by individuals in different roles, business units, countries, or even companies, proper data segregation is necessary to ensure that all data is only accessible to those who have the authorization to access it.

As organizations generate vast amounts of valuable data, protecting it from unauthorized access is critical. Data-centric security offers a solution, especially as businesses share information with external partners. However, more sharing means greater risk. To mitigate this, organizations must rethink how they secure data as it moves beyond the corporate network and onto external or mobile devices.

SharePoint holds some of an organization’s most valuable information, including intellectual property, trade secrets, research, and transactional data. As teams collaborate, they often share files with external partners, customers, and supply chains, which increases the risk of sensitive information being unintentionally exposed to unauthorized individuals. In a dynamic, collaborative environment, protecting this data becomes a critical challenge

­­Data classification is an essential concept in the realm of cyber security. It refers to the process of organizing data into specific categories and assigning appropriate security measures to each category. This practice helps to safeguard sensitive data and prevent unauthorized access. In this blog, we will discuss the importance of how data classification can aid in achieving ABAC (Attribute-Based Access Control) and Zero Trust Security. We will look at the fundamental concepts of data classification, its techniques and tools, its application in access control and authorization, and the benefits of using data classification for ABAC and Zero Trust Security.