Prostate cancer (PCa) diagnosis has undergone a dramatic evolution in recent years. Men with clinical risk factors and important lesions observed via magnetic resonance imaging (MRI) typically undergo a targeted biopsy. In a typical prostate biopsy procedure, the operator uses ultrasound (US) imaging to place a biopsy needle in the lesion(s) identified pre-operation via MRI for sampling. However, there is no way to ascertain that the needle is correctly placed in the lesion before sampling. Thus, negative biopsy results occur and lead to uncertainty in treatment decisions. This paper investigates the feasibility of using an instrumented needle probe that uses electrical impedance spectroscopy to identify the tissue at the needle tip in real-time based on the tissue’s bioelectrical properties. A new probe is designed, constructed, and validated on a collected dataset of ex-vivo tissue samples. Several classification algorithms are then used and compared, with classifications accuracies over 90% in most cases. These preliminary results suggest that the use of sensorised biopsy needles for tissue identification could improve confidence in biopsy results, and reduce procedure time and number of biopsies performed.