Digital Transformation
Solution by Topic
The digitization of core business systems marks a critical turning point for many organizations, as they transform their IT infrastructures to succeed in today’s digital-driven economy. This shift often involves consolidating enterprise resource planning (ERP) systems on a global scale, moving data to cloud environments and incorporating data analytics to drive intelligent enterprise operations. However, these changes also significantly expand the potential attack surface of an organization, raising questions about the security effectiveness of a traditional network-centric approach.
What will data-centric security look like over the next 5 years?
Explore why data security needs a fresh look to meet the demands of the hyper-digital age
SAP Global Consolidation
Learn how to accelerate ERP consolidation with dynamic authorization- ensuring compliance and meeting security requirements effectively
NIST ABAC Overview
Discover how NextLabs partnered with NCCoE to address the challenge of implementing Attribute Based Access Control (ABAC)
IT Consolidation & Application Security Risks
As businesses consolidate disparate data silos into integrated ERP systems, such systems become prime targets for cyberattacks due to the vast amount of sensitive data. The connectivity of ERP systems to multiple applications and networks also increases the number of access points for attackers. Simultaneously, the growing reliance on a variety of applications for data sharing and workflow automation amplifies the risk of unauthorized exposure.
Cloud Adoption Challenges
Shifting businesses to cloud environments poses security risks, especially data interception or loss during migration. This is often exacerbated by IT discrepancies between legacy systems and new cloud infrastructures. Cloud adoption also results in decreased visibility and control over data, leading to concerns over data privacy and the risk of unauthorized access, not just by external threats but potentially by cloud service administrators as well.
Securing Data in Digital Collaboration and Big Data
As organizations increasingly adopt digital technologies, the volume of data skyrockets, and its distribution becomes more widespread and mobile. This shift underscores the need for securing data in digital collaboration tools and big data applications, where the integrity and confidentiality of data needs to be preserved, be it in transit, in use or at rest.
Secure Digital Transformation with a Data-Centric Approach
To secure the vast amount of data in ERP, cloud, digital collaboration tools and big data applications, organizations need to take a data-centric approach. This involves safeguarding data throughout its lifecycle – at rest, in motion and in use, across all data enclaves and environments.
Centralized Policy Management and Logging
Centralized policy management ensures consistent enforcement of security policies across all applications and networks connected to the ERP system. It effectively addresses the increased risk of data exposure due to explosion in number of access points, which is a common challenge in single global instances. All data access activity should be tracked and monitored to address the risk of unauthorized access, especially by external threats or cloud service administrators.
Distributed Policy Engine
A distributed policy engine enables policy enforcement across multiple apps and environments, minimizing the risk of unauthorized access and breaches. It helps to secure data flows into and out of the cloud, spanning hybrid and multi-cloud environments. This approach addresses the challenge of an expanded attack surface that comes from the adoption of ERP systems and cloud technologies.
Data-Centric Security Enforcement
Implementing data segregation and robust encryption, such as Digital Rights Management (DRM), secures the entire data pipeline end-to-end. Additionally, employing data masking techniques dynamically obfuscates sensitive information upon access, particularly in cases of unauthorized third-party or privileged user access. Policy enforcement of these controls preserve data confidentiality, whether in transit, in use, or at rest. This approach is critical in scenarios where data is mobile and dispersed, ensuring protection even if the perimeter is breached.
Automate and Prevent
Data-centric security enforcement automates proactive security and compliance measures to prevent unauthorized access and breaches, streamlining compliance processes to enhance efficiency and reduce human error. This enforcement supports securing data payloads in the cloud by protecting critical data against unauthorized access, regardless of location. Moreover, more fine-grained data protection policies allow companies to secure collaboration and implement efficient offshoring or outsourcing models.
NextLabs Solution
CloudAz Centralized Policy Platform
Automating and managing a diverse set of access control and data protection requirements becomes highly complex and error-prone without a centralized policy platform. CloudAz policy platform allows organizations to centrally author and manage security policies, dynamically enforcing them in real-time. It simplifies the governance process, ensuring robust and efficient policy enforcement.
CloudAz Dynamic Authorization Engine
Policies can be effectively applied across multiple critical enterprise applications such as ERP, PLM, and Big Data systems. These same data sets often span multiple applications and operate across both cloud and on-premises environments. Additionally, policies are designed to function seamlessly with applications running in hybrid and multi-cloud environments, ensuring consistent data governance and security across diverse IT landscapes.
CloudAz Dynamic Authorization Engine
Policies can be effectively applied across multiple critical enterprise applications such as ERP, PLM, and Big Data systems. These same data sets often span multiple applications and operate across both cloud and on-premises environments. Additionally, policies are designed to function seamlessly with applications running in hybrid and multi-cloud environments, ensuring consistent data governance and security across diverse IT landscapes.
Data Access Enforcer (DAE)
Ensuring data is logically categorized and separated is crucial for maintaining integrity and confidentiality, especially in complex systems that handle vast amounts of diverse data. Additionally, data masking techniques are employed to obfuscate sensitive information, protecting it from unauthorized third-party access. This approach safeguards critical data across various storage and access scenarios.
SkyDRM Digital Rights Management
SkyDRM applies rights protection to selected files based on established policies, ensuring persistent protection of sensitive information whether it is at rest, in transit, or throughout its lifecycle. This level of protection remains effective even when data is mobile and dispersed, particularly in scenarios involving outsourcing and remote work.
Application Enforcer for Collaboration Tools
Application Enforcer simplifies access management and enhances data protection across various collaboration applications and services, such as SharePoint and Teams. By streamlining access management, this tool not only bolsters security but also improves the user experience. It ensures that users receive appropriate access rights efficiently, without facing unnecessary hurdless.
Application Enforcer for Collaboration Tools
Application Enforcer simplifies access management and enhances data protection across various collaboration applications and services, such as SharePoint and Teams. By streamlining access management, this tool not only bolsters security but also improves the user experience. It ensures that users receive appropriate access rights efficiently, without facing unnecessary hurdless.
