A drive-by compromise occurs when malicious code is automatically downloaded and executed simply by visiting a compromised website-often through malicious advertising scripts (malvertising). According to SCAZT Section 4: Application and Data Security (Pages 85-87), ad blockers help prevent drive-by downloads by blocking these third-party ad scripts and redirections, which are commonly used in such attacks.
VPNs and private browsing modes (e.g., Incognito) do not provide protection against malicious content hosted on web pages.
Reference: Designing and Implementing Secure Cloud Access for Users and Endpoints (SCAZT), Section 4, Pages 85-87
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The Zero Trust model relies on the principle of "never trust, always verify" and includes continuous verification based on real-time data. According to SCAZT Section 1 (Cloud Security Architecture, Pages 14-
17), user and device behavior are key elements for continuous verification. Behavioral analytics evaluates deviations from typical activity, such as time of login, geolocation, access frequency, and resource usage to adapt trust levels dynamically. This is central to adaptive access control and risk-based authentication.
Reference: Designing and Implementing Secure Cloud Access for Users and Endpoints (SCAZT), Section 1, Pages 14-17