Remote access tool anomaly detection has emerged as a critical component of modern network security, given the widespread use of both legitimate and malicious remote access tools (RATs) within contemporary IT environments. The complexities introduced by RATs manifest in the form of diverse network anomalies, ranging from subtle behavioral deviations to overt security incidents such as unauthorized access and data exfiltration. As organizations strive to maintain resilient infrastructures, the ability to discern between normal remote management activities and indicators of compromise remains paramount. Effective remote access tool anomaly detection therefore necessitates a detailed understanding of baseline network behaviors, the characteristics of authorized remote access, and the evolving tactics employed by adversaries who exploit similar technologies for nefarious purposes.