The Limits of Identity Based Security
For years, cybersecurity has relied on identity as the primary gatekeeper. The assumption was that if you could verify the user, you could trust the connection. However, with the rise of sophisticated phishing kits and AI powered attacks, this approach is showing its cracks. A valid set of credentials no longer guarantees a safe session. The real threat today occurs after authentication, when attackers steal session tokens and bypass multi-factor authentication (MFA) entirely.
The Post Authentication Blind Spot
Attackers have developed tools that sit between a user and the real login portal. These tools proxy the authentication process in real time, allowing the victim to complete every security check including MFA. The attacker then walks away with the session cookie. Most organizations treat authentication as a one time check, but a stolen session token looks identical to a legitimate one in security logs. The NIST Zero Trust framework warned about relying on implied trust after initial authentication, but most implementations still fail to verify device posture continuously.
Building a Stronger Model with Device Verification
The most effective security model combines identity checks with continuous device verification. This means access should stay conditional on device health throughout a session, not just at login. Organizations need to bind access to approved hardware, apply proportionate enforcement based on risk, and enable self-service remediation for users. When device posture is checked continuously, stolen credentials and intercepted tokens lose their value because access is tied to a trusted, healthy endpoint rather than just an identity claim.
Source: BleepingComputer
