Zero-Trust

Proactive Defense: The Importance of Analyzing User Identity Data in a Zero Trust Framework

User identity data is a fundamental piece of safeguarding sensitive information, critical systems, and digital assets. Understanding and monitoring how users interact with technology, their access patterns, authentication habits, and overall digital behavior is essential for proactive threat detection and mitigation.

The Rise of Zero Trust

Zero Trust is an evolving security framework that operates on the principle of “never trust, always verify.” It assumes no user or device should be inherently trusted, regardless of location or network connection. Instead, resource access is granted based on continuous verification and monitoring of various factors, such as user behavior, device health, and network conditions.

Webinar On-Demand: Meeting Federal Zero Trust Requirements with Third Wave Artificial Intelligence

Executive Order 14028, Improving the Nation’s Cybersecurity, directs decisive action to improve the Federal Government’s investigative and remediation capabilities. Specifically, it aims to galvanize public and private efforts to help identify, deter, protect against, detect, and respond to persistent and increasingly sophisticated malicious cyber campaigns.

How MixMode is Embracing Zero Trust

Zero-trust is at the heart of the MixMode solution through its use of Self-Learning, Unsupervised AI. The AI is driven by a zero-trust generative model that initially takes no historical knowledge to function and is unbiased from human alteration.

What is Zero-Trust in Cybersecurity?

orrester coined the term zero-trust in 2010 to describe the idea that nothing is inherently safe and that everything must be continuously verified. You may have heard the motto, “Trust nothing; verify everything.” This is a great way to think about zero-trust in Cybersecurity.