Passwords are broken. Multi-factor Authentication overcomes password insecurities, but its potentials are often not realised. This article presents InSight, a system to actively identify perpetrators by deceitful adaptation of the accessible system resources using Multi-factor Authentication profiles. This approach improves authentication reliability and attributes users by computing trust scores against profiles. Based on this score, certain functionality is locked, unlocked, buffered, or redirected to a deceptive honeypot, which is used for attribution. The novelty of this approach is twofold; a profile-based multi-factor authentication approach that is combined with a gradient, deceptive honeypot.