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 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.

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 refers to masking of data where the decision on whether to mask the data in question is determined at the time of the data access request and is based on attribute values of the user requesting access, the data itself, and the environment or context in which the request is being made.

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 for short, involves managing, controlling, and securing data from unauthorized users. Traditional DRM technologies are often associated with the prevention of unauthorized access and distribution of consumer-facing media, such as music, movies, images, and games. However, this concept can also be applied to enterprises to address the data protection needs when collaborating and sharing business-critical data across internal and external stakeholders.

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.

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.

In today’s collaborative business world, file security is crucial for protecting sensitive data. Tools like Digital Rights Management (DRM) ensure critical files remain secure from unauthorized access. As zero-trust evolves, organizations must extend this protection to the file level, treating every file as a potential risk to strengthen overall security.

As enterprises embrace various cloud applications, new challenges arise for digital rights management in terms of balancing information sharing and security which can lead to vulnerabilities such as cyber-attacks and data breaches. File-sharing services have some level of native security built into them, but it’s not enough to fully protect your data once it’s been shared.

A Policy Administration Point (PAP) is a component of a policy engine. PAP's are often used by enterprise administrators to define fine-grained access entitlements for enterprise users who need access to managed software components and provides centralized policy administration, management, and monitoring of access policies through the PAP administration control center.

Many businesses operate in a data access mode known as “default to know,” particularly when they are in hyper-growth mode. The result is that there can be an uncontrolled and overly permissive approach to data access which can lead to hidden costs in terms of security and compliance. Now, it is possible to transition from “default to know” to “need to know” without stifling innovation by using DataSecOps.

A Policy Enforcement Point (PEP) protects an enterprise’s data by enforcing access control as a vital component of the XACML architecture. A PEP works with a Policy Decision Point (PDP) to interpret policies to control the behavior of the network devices in order to satisfy both the users and administrators of network resources.

As more data is shared across enterprise networks, file servers, and cloud environments, organizations need a solution to not only protect data within the enterprise but also when shared. This brings about the question, how do you continuously protect data once the file has been shared? The answer is persistent file protection.

Product designs created by designers and engineers with Computer-Aided Design (CAD) tend to be deemed as intellectual property (IP) of the organization. Very often, these valuable assets need to be shared internally with employees and externally, which becomes risky. Digital Rights Management is crucial to mitigate these risks.

A Policy Decision Point (PDP) is a mechanism that evaluates access requests to resources against the authorization policies that apply to all requests for accessing that resource to determine whether specific access should be granted to the particular user who issued the request. Part of the PDP’s responsibility is to find a policy that applies to a given request.

If you’re unfamiliar with dynamic authorization, it could very well be the biggest little secret you’ll hear regarding data security. Dynamic authorization brings a wide range of benefits to the table. From protecting sensitive data, to keeping compliance officers happy, to simplifying IT administration, dynamic authorization best positions companies to succeed in an increasingly globalized and collaborative business environment.

If you work with intellectual property, handle sensitive materials, or are subject to regulatory compliance, you need to safeguard your digital assets. The ideology has shifted from “if” a data breach occurs, to “when” it will occur. Chasing dynamic data with static security models will not support a fast-moving company. The paradigm is shifting to Attribute-Based Access Control (ABAC) to redefine data protection. 

The National Institute of Standards and Technology (NIST) created Role-Based Access Control (RBAC) in 1992 and it quickly became the predominant access control method for large enterprises managing more than 500 employees.

While you may recognize that Enterprise Digital Rights Management (EDRM) is what your enterprise needs to keep your data safe, you may be looking for feedback from others in the industry who has implemented it. To ensure your EDRM implementation goes well, we want to highlight a few key points to keep in mind at different stages of your implementation process.