Understanding of processes and factors inﬂuencing slope stability is essential for assessingthe stability of potentially hazardous slopes. Passive monitoring of acoustic emissions and microseismologyprovides subsurface information on fracturing (timing and identiﬁcation of the mechanism) and thereforecomplement surface displacement data. This study investigates for the ﬁrst time acoustic and microseismicsignals generated in steep, frac tured bedrock permafrost, covering the broad frequency range of 1 − 105Hz.The analysis of artiﬁcial forcing experiments using a rebound hammer in a controlled setting led to twomajor ﬁndings: First, statistically insigniﬁcant cross correlation between signals indicates that waveformschange strongly with propagation distance. Second, a signﬁcant ampliﬁcation is found in the frequencyband 33–67 Hz. This ﬁnding is strongly supported by evidence from artiﬁcial rockfall events and moreimportantly by naturally occurring fracture events identiﬁed in fracture displacement data. Thus, ﬁlteringthis frequency band enables enhanced detection of microseismic events relevant for slope stabilityassessment. The analysis of 2-year time series in this frequency band further suggests that the detectedenergy rate baseline of all automatically triggered events using the STA/LTA algorithm is not sensitive totemperature forcing, an observation of primary importance for long-term data collection, analysis, andinterpretation. The event detection in the established frequency band is not only improved but also notaﬀected by the short- and long-term temperature changes in such a rapidly changing environment.