It’s vital to have a common understanding and shared context for complex technical topics. The previously adopted perimeter model of security has become outdated and inadequate. Zero Trust (ZT) is the current security model being designed and deployed across the US federal government. It’s important to point out that ZT is not a security solution itself. Instead, it’s a security methodology and framework that assumes threats exist both inside and outside of an environment.

Zero Trust and the Principle of Least Privilege are security models designed to improve security posture by restricting unnecessary access to systems and data. Both models are a reliable way to limit access to resources and tighten your security measures.

The zero trust maturity model is a Cybersecurity and Infrastructure Security Agency (CISA) initiative to help achieve a modern approach of zero trust through the implementation of five pillars with cross-cutting capabilities. The five pillars of zero-trust security are identity, device, network, application and workload and data.

This is Part 5 in my ongoing project to cover 30 cybersecurity topics in 30 weekly blog posts. The full series can be found here. The goal of this article is to provide a quick getting started guide to Zero Trust. To understand Zero Trust, it helps to first know a couple of terms: ZTA and ZTMM.

The healthcare industry, which is entrusted with people’s most sensitive data, is no stranger to cyber-attacks and breaches. This is supported by statements made on behalf of the American Hospital Association revealing that healthcare cyberattacks in 2023 affected more than 100 million people.

In today's digital landscape, where cyber threats are ever-evolving and data breaches can have devastating consequences, zero-trust security has emerged as a robust approach to protect organizations and their critical systems. At its core, zero-trust challenges the traditional notion of inherent trust within network boundaries, advocating for a holistic security posture that treats every entity as a potential threat until proven trustworthy.

With the proliferation of AI/ML enabled technologies to deliver business value, the need to protect data privacy and secure AI/ML applications from security risks is paramount. An AI governance framework model like the NIST AI RMF to enable business innovation and manage risk is just as important as adopting guidelines to secure AI. Responsible AI starts with securing AI by design and securing AI with Zero Trust architecture principles.

Early in 2023 my colleague, and VP of Technology Integrations and Business Development, David Willis walked us through Realizing the True Power of Netskope Cloud Exchange. In the article, David painted the evolution of Cloud Exchange with a focus on how the Netskope Cloud Threat Exchange (CTE) module has matured since it was released.