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Explore the data-centric security solution for design and manufacturing companies to centrally manages and controls risks associated with IP, client …

Home | Intelligent Enterprise | The Future of Data Security for AI | AI Model Attacks Explained: Securing Model Integrity …

Automated access control secures digital systems by enforcing real-time, policy-based access decisions. It reduces risk, improves compliance, and streamlines access …

Global product development risks IP loss and compliance violations. Secure Engineering Collaboration protects intellectual property while enabling controlled collaboration.

Explore Active Control for Healthcare Data Protection ensures proper access, handling, and disclosure of patient records and health insurance subscriber …

AI model theft is an increasing enterprise risk, enabling attackers to replicate proprietary AI models through unauthorized access, extraction, or …

Adversarial AI attacks exploit machine learning models by manipulating input or training data, leading to incorrect decisions and hidden risk. …

AI model poisoning is one of the most dangerous and least understood threats facing enterprise AI systems. By corrupting training …

Explore use cases to learn how data-centric security solution for ITAR compliance protects technical data across extended A & D …

AI security frameworks and governance explained: learn how Zero Trust enables trustworthy, compliant, and secure AI across data, models, and …

Data filtering helps organizations refine large datasets while protecting sensitive information through policy-based access controls. It improves data quality, supports …

Data access control defines who can access sensitive data and under what conditions. It protects organizations from unauthorized access, supports …

Policy governance is a framework that defines authority, accountability, and decision-making at the board level. It helps organizations focus on …

AI model poisoning is one of the most dangerous and least understood threats facing enterprise AI systems. By corrupting training …

As government agencies integrate data to power AI initiatives, the risk of exposure grows dramatically. Traditional perimeter defenses are no …

Learn what data scrambling is, how it works, and why it’s essential for protecting sensitive information in testing, development, analytics, …

Expanding collaboration across project teams, suppliers, and international partners significantly increases the number of touchpoints where sensitive SAP data can …

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 …

In research, design, and engineering environments, product data sits at the heart of innovation. It contains intellectual property, technical specifications, …

Discover how Data-Centric Security enables Zero Trust Application Protection, securing enterprise apps, workloads, and APIs against modern threats.

As organizations accelerate digital transformation and data collaboration across global ecosystems, protecting sensitive information has become increasingly complex. Traditional Digital …

Enterprise Resource Planning (ERP) systems form the digital backbone of today’s organizations. By unifying core business functions from finance and …

AI outputs drive critical business decisions, shape customer experiences, and influence strategic outcomes. Yet, many organizations fail to secure the …

Data is the lifeblood of Artificial Intelligence — powering every prediction, recommendation, and decision. But as AI systems consume vast …

AI models are the “brains” behind intelligent systems, driving predictions, automation, and decision-making across enterprises. But their value also makes …

As enterprises embrace AI to drive innovation and efficiency, securing access to AI systems has become the first and most …

CISA’s ZTMM model provides a structured approach for federal agencies to transition to Zero Trust Architecture and adopt a data-centric …

Information Labeling and Handling (ILH) provides a unified framework for protecting sensitive data and enabling trusted collaboration across global enterprises. …

Many enterprises need to securely protect information and comply with export control regulations. Export controls govern the information that cannot …

The NextLabs eGRC platform introduces a policy-based control framework that directly enforces export control rules like ITAR and EAR at …

To meet new demands, RBAC must evolve to incorporate a more dynamic, context-aware model capable of managing fine-grained access control …

Discover how NextLabs employs a data-centric approach that aligns with the requirements of a Zero Trust Architecture (ZTA).

As data becomes increasingly central to digital transformation, artificial intelligence, and analytics, organizations face a growing challenge: how to make …

As organizations embrace data-driven decision-making, safeguarding sensitive information is more critical than ever. Traditional perimeter defenses can’t keep pace with …

Discover how preventative SoD controls diminish risks associated with conflicts of interest, fraud, and compliance violations.

Data breaches aren’t just headlines—they’re real threats happening inside organizations every day. According to IBM, the global average cost of …

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 …

Data Access Security ensures that sensitive information is protected at the point of access—enforcing policies in real time based on …

Discover how Attribute-based access control (ABAC) emerged as the next-gen cybersecurity technology for secure access control for extended enterprises.

This article dives into common data security challenges along digital transformation and provides solutions and use cases to demonstrate how …

Discover a comprehensive guide on how to effectively implement Zero Trust Architecture.

Enterprises increasingly rely on extranets to collaborate with partners, suppliers, customers, and remote employees, but these platforms introduce significant security …

Ransomware accounted for nearly 70% of global cyberattacks in 2023, targeting industries like healthcare, finance, manufacturing, and government. Explore the …

As the pace and complexity of software development continue to accelerate, securing the software development lifecycle (SDLC) has never been …

The Cybersecurity Maturity Model Certification (CMMC) is a U.S. Department of Defense framework designed to improve cybersecurity in the Defense …

In the age of data consolidation and AI, safeguarding sensitive data is crucial. Learn how Zero Trust Security forms the …

In an environment where cyber threats are escalating and federal cybersecurity expectations are rising, protecting Controlled Unclassified Information (CUI) is …

As more organizations embrace Zero Trust security models, the need for fine-grained, dynamic access control has never been greater. Traditional …

As the Department of Defense (DoD) and other federal agencies move rapidly toward Zero Trust Architecture (ZTA), many organizations are …

Federated identity is a system that enables users to access multiple applications, services, or organizations using a single set of …

Federated authorization refers to a system of granting access rights to users across multiple organizations or systems without requiring them …

CISA’s ZTMM model provides a structured approach for federal agencies to transition to Zero Trust Architecture and adopt a data-centric …

In the dynamic and often perilous landscape of cybersecurity, safeguarding sensitive government data is not just a priority but a …

As enterprises continue to upgrade their SAP ERP systems to SAP S/4HANA, it is crucial to implement Zero Trust principles …

DLP ensures that sensitive information does not leave the corporate network. DLP is a combination of methods and technologies that …

Dynamic authorization is essential for securing modern, distributed IT environments because it provides real-time, adaptive access control that is context-sensitive …

Many enterprises need to securely protect information and comply with export control regulations. Export controls govern the information that cannot …

For the A&D industry and beyond, the intricate issues of electronic export compliance of technical data calls for a data-centric …

Safeguarding data during organizational changes requires dynamic security controls beyond conventional ones in response to drastic changes.

To protect intellectual property in a collaborative global supply chain, a data-centric solution with dynamic access management is necessary.

Data-centric security (DCS) involves technologies, processes, and policies whose focus is on the location of the data, its collection, storage, …

NextLabs’ Active Control Policy Language (ACPL) is a fourth generation policy language (4GL) based on the XACML standard for access …

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

Discover how NextLabs Data Access Enforcer reaches dynamic data protection through enhancing Role-Based Access Control with Attribute-Based Access Control.

Explore why Role-Based Access Control (RBAC) should be enhanced with Attribute-Based Access Control (ABAC) in this globalized and ever-changing world.

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

To ensure the realization of these benefits, it is essential to establish best practice guidelines for successful ABAC implementation. Discover …

Zero Trust and Data Centric security can be complementary approaches to security. Zero Trust can help to limit access to …

NIST Cybersecurity Framework (CSF) 2.0 introduces major updates to strengthen how organizations manage cybersecurity risks, featuring five key takeaways from …

Explore how a data loss prevention solution can protect SAP data regardless of where it resides throughout its lifecycle.