M. tuberculosis is a strict aerobic bacterium that causes tuberculosis disease in humans. It is characterized by having mycolic acids in its cell wall, which means that this bacterium does not have the ability to retain any Gram stain dye. In Colombia, in 2021, 14,060 people became ill with this disease and resistance to the two most powerful first-line drugs, rifampicin (RIF) and isoniazid (INH), has also arisen, generating great concern and leading to the search of other drugs for the treatment of patients suffering from this disease. Cundinamarca is the third most populated department in Colombia and is the ninth with the highest burden of tuberculosis cases of all clinical forms, which leads to study this disease in the population that makes up the municipalities of this department. Molecular platforms are based on the detection of bacterial nucleic acids and on the detection of antimicrobial resistance genes in any sample, being important to describe the operating characteristics and principles of existing molecular systems. The objective of this work is to evaluate the performance and projection of the molecular platforms Xpert MTB/RIF Ultra, BDmax MDR-TB and Seegene Anyplex II MTB/MDR in the diagnosis and detection of antimicrobial resistance of Mycobacterium tuberculosis, since the existing data are limited and therefore there is a need to establish which technique is the best and thus be able to implement high-performance systems for the diagnosis of M. tuberculosis in regions of Cundinamarca and Colombia.