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Intelligent Enterprise

Stay ahead with digitization, collaboration, and innovation

The Digital World, Imagined Differently

In an era of digital transformation, businesses must adapt to stay competitive and meet ever-changing demands of today’s dynamic digital landscape. An intelligent enterprise stays ahead of the curve by embodying digitization, collaboration and innovation.

Digitization

To be digitally fluent in a data-driven world, enterprises need a secure digital core that integrates different business processes while facilitating the collection and analysis of data.

Collaboration

Driving collaboration and growth at an enterprise involves the exchange of ideas and resources among employees, partners, and customers, across organizational and geographical barriers.

Innovation

As IT environments become more complex, with on-prem, cloud, and hybrid infrastructure, advanced technology like zero trust architecture becomes crucial for modernization efforts.

Promoting digitization, collaboration and innovation requires an intelligent enterprise to secure its data and resources with next-generation technology. At NextLabs, we help companies accelerate and achieve the 3 key pillars by providing zero trust data-centric security solutions.

Key Drivers for Intelligent Enterprises

Enabling innovation, collaboration and digitization creates the following data security requirements for intelligent enterprises:

Safeguard Digital Core

When digital core is distributed across a range of services and devices, it is more vulnerable to security breaches. By going digital, organizations need a strategy to effectively safeguard its digital core, to ensure data is stored and transmitted securely.

Secure Sharing

The collaborative nature of an intelligent enterprise calls for implementing data access policies on a need-to-know basis, to ensure that information is shared securely and responsibly.

Advanced Technology

With the widespread adoption of hybrid cloud, IoT, and big data, intelligent enterprises must utilize advanced security measures, like automation and data-driven analytics, to effectively operate within the cloud.

Automate & Prevent

An intelligent enterprise should leverage advanced technologies to automate security measures. By shifting from manual detective controls to automated preventive controls, businesses can optimize threat detection and response.

Data-Driven Analytics

Organizations can use their digital core to gain insights from data and make informed decisions. By identifying trends and patterns in large datasets, businesses can develop effective strategies and proactively mitigate risks.

Technology in Action

How can an enterprise leverage advanced technology, utilize automation and data-driven analytics to safeguard its digital core and enable secure collaboration?

An enterprise would need to harness the key elements below:

Digital Policy

Intelligent enterprises operate on digital policies rather than manual policies, where business, data security, and compliance requirements are digitized to secure data across its lifecycle. Digital policies enable automated enforcement of preventive controls, determining access in real-time.

Distributed Policy Engine

Intelligent Enterprises rely on distributed policy engines to evaluate and enforce policies based on real-time, contextual information during access control decisions to ensure that users, devices, and applications receive least-privilege access.

Real-Time Enforcement

With the ability to enforce digital policies in real-time it allows Intelligent Enterprises greater flexibility to adapt to changing security requirements, as well as improved compliance. By evaluating and enforcing access requests in real-time, Intelligent Enterprises can quickly identify and block unauthorized access attempts, helping to prevent data breaches and other security incidents.

Preventive Controls

Digital policies enable the automation and enforcement of preventive controls. Once created, a digital policy can be automatically applied to multiple systems and hundreds of devices. In doing so, it allows for Intelligent Enterprises to intelligently detect and respond to threats, addressing security challenges more efficiently than traditional, manual approaches.

Data-Centric Security

Digital policies play a key role in data-centric security, an approach that focuses on protecting the data itself rather than the systems (eg. networks) where it resides on. It is designed to protect data at rest and in motion, such that if an unauthorized user accesses the system, they cannot compromise the data. This helps maintain the confidentiality, integrity, and availability of an enterprise’s data.

Analytics & Visibility

Using data-driven analytics to detect anomalies or suspicious behavior calls for sophisticated monitoring, tracking and auditing capabilities. This helps facilitate regulatory compliance, identify anomalies and security threats, while reducing compliance management costs.

Building Smarter businesses

Our Approach

At NextLabs, we address the requirements of an intelligent enterprise with a zero-trust, data-centric approach to secure the digital core. This ensures that sensitive information remains protected when accessed across various services and devices.

We enable organizations to run on digital policies with our unified policy platform, CloudAz, where users can create and manage policies from various attribute sources to protect data and eliminate security silos. For a user-friendly policy governance experience, NextLabs’ Active Control Policy Language (4GL) allows users to define, test, deploy, and review policies in an English like natural language syntax.

To automate zero trust data-centric security controls, NextLabs’ policy engine authorizes access to an organization’s resources in real-time using attribute-based policies, evaluating contextual information about the user, data or environment. When a user, device, or application requests access to an application or data on-prem or in the cloud, the policy engine enforces the digital policy in real-time. In doing so, organizations can automatically detect, alert and apply preventive controls to enforce least privilege access. User activity and data access records are stored in a central audit repository for monitoring, tracking, and auditing purposes.

Zero Trust Data Security Suite

NextLabs Zero Trust Data Security suite

NextLabs Zero Trust Data Security Suite helps empower Intelligent Enterprises. The suite is a comprehensive data centric security solution based on zero trust architecture to enforce access rights and protect structured and unstructured data throughout its entire lifecycle: at rest, in transit, and in use; regardless of where data resides – whether it is in application, file, file repository, or database on-premises, or in the cloud. It consists of CloudAz, unified policy platform that functions as the Control Center, and three enforcement solutions to protect data at the source (Application Enforcer), persistently protect files at rest and on the move (SkyDRM), and control global data access (Data Access Enforcer).