The cyber threat landscape is evolving rapidly, with attackers significantly reducing detection and response windows and increasingly relying on advanced techniques such as credential theft and trust exploitation. At the same time, there has been a notable rise in malware-free attacks, making traditional, malware-focused security defenses less effective. The growing adoption of AI further increases risk, as enterprises now process and transfer large volumes of sensitive AI-driven data, creating new opportunities for attackers to disrupt business operations and steal information. These combined factors highlight the limitations of legacy security approaches and the need for a unified zero trust model that can improve visibility, reduce trust-based vulnerabilities, and strengthen protection

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