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This study investigates the relationship between extreme ultraviolet (EUV) transient brightenings (TBs) and the onset of GOES X-class solar flares in active regions (ARs). We introduce the Brightenings AnD Polarity Inversion Tracking (BADPIT) method that can detect TBs across multiple SDO/AIA channels. To identify TBs, we impose two independent thresholds: a 3-<inline-formula><mml:math><mml:mi>σ</mml:mi></mml:math></inline-formula> intensity-based criterion and a power law divergence approach. We demonstrate the application of BADPIT through a flaring and a non-flaring AR for 24 hours as a pathfinder to a comprehensive statistical study for a complete performance verification: the studied ARs are the non-flaring AR 13186 and the flaring AR 11429, both sharing a similar Hale sunspot classification. Preliminary results are encouraging: significantly more TBs are detected in the flaring AR, with up to five times more 3-<inline-formula><mml:math><mml:mi>σ</mml:mi></mml:math></inline-formula> thresholded TBs identified, while power law thresholded events were frequent only in the flaring AR and mostly absent in the non-flaring AR. In the two ARs that we studied both the power law threshold method and the 3-<inline-formula><mml:math><mml:mi>σ</mml:mi></mml:math></inline-formula> method show a potential to act as diagnostic tools for distinguishing between imminent flaring and non-flaring conditions several hours before the onset of major solar flares. However, our work is a proof-of-concept study, given the limited number of ARs we studied; its reliability as a forecasting tool will be investigated in a follow-up study in which a large sample of ARs will be analysed.