Poor medication adherence may increase rates of loss to follow-up, disease relapse, and drug resistance for individuals with active tuberculosis (TB). While TB programs have historically used direct observation of therapy (DOT) to address adherence, concerns have been raised about the patient burden, ethical limitations, effectiveness in improving treatment outcomes, and long-term feasibility of DOT for health systems. Digital adherence technologies (DATs)—which include feature phone- and smartphone-based technologies, digital pillboxes, and ingestible sensors—may facilitate more patient-centric approaches for monitoring adherence, though available data are limited. Depending on the specific technology, DATs may help to remind patients to take their medications, facilitate digital observation of pill-taking, compile dosing histories, and triage patients based on their level of adherence, which can facilitate provision of individualized care by TB programs to patients with varied levels of risk. Research is needed to understand whether DATs are acceptable to patients and healthcare providers, accurate for measuring adherence, effective in improving treatment outcomes, and impactful in improving health system efficiency. In this article, we describe the landscape of DATs that are being used in research or clinical practice by TB programs and highlight priorities for research.