Identity has long been the load-bearing wall of cybersecurity. The logic was simple: verify the employee, secure the access. But as professionalized threat actors weaponize AI and sophisticated phishing kits, that wall is cracking. Identity is being forced to carry a structural burden it was never designed to support. While identity isn’t obsolete, in ecosystems defined by SaaS sprawl, BYOD, and hybrid work, a valid credential is no longer a guarantee of a safe connection. The real danger is not authentication failure, but whether the right signals are being verified. Without real-time device checks, a legitimate login could just as easily be a compromised session. NIST Special Publication 800-207, the foundational framework for Zero Trust architecture, anticipated this problem. It warns against relying on implied trustworthiness once a subject has met a base authentication level, and specifies that access decisions should account for whether the device used for the request has the proper security posture. In practice, most organizations still treat authentication as a one-time check. Identity is verified, MFA passes, a session begins, and trust holds until the token expires. But a session token in an attacker's browser looks identical to the same token in the user's browser. Traditional authentication logs cannot tell them apart. Verizon’s Data Breach Investigation Report found stolen credentials are involved in 44.7% of breaches. Effortlessly secure Active Directory with compliant password policies, blocking 4+ billion compromised passwords, boosting security, and slashing support hassles! Most Zero Trust implementations have ended up heavily identity centric. They focus on strengthening authentication, enforcing MFA, reducing password reliance, and introducing risk-based sign-in policies. Device verification, meanwhile, is inconsistently applied. It often stops at the point of login, or it applies only to browser-based workflows inside modern conditional access frameworks. Legacy protocols, remote access tools, and API integrations tend to inherit trust implicitly once identity has been established. The result is a fragmented model. Personal and third-party devices may be loosely controlled or entirely unmanaged. Session trust persists even if device posture degrades mid-session. Identity signals and endpoint signals sit in separate tools with limited integration. Identity gets scrutinized heavily at login, and then access is rarely reassessed