The Response Time-based Concealed Information Test (RT-CIT) detects recognition of concealed information by comparing RT's of probes (crime-related items) and irrelevant stimuli, in an oddball task. For "guilty" participants, slower responses to probes than to irrelevants reflect the well-established RT-CIT effect. Since deception is thought to require greater cognitive effort than truth-telling, researches have investigated how adding cognitive load affects this difference. However, meta-analytic evidence by Verschuere et al. (2018) indicated mixed results: while additional cognitive load can help elucidate the cognitive mechanisms underlying deception, it may also impair truth-telling and thereby reduce the diagnostic separation between lying and truth-telling. In our novel hybrid task, we integrate the RT-CIT with a Stop-Signal Task (SST) to examine (1) how cognitive load in the form of response inhibition affects the RT-CIT effect, (2) whether individual RT-CIT effects combined with SST-based inhibitory control measures improve classification accuracy, and (3) whether individual differences in SST performance predict the RT-CIT effect at the individual level. Participants are randomly assigned to either a guilty condition, commiting a mock cybercrime, or an innocent condition, performing a neutral task. Cognitive load will be manipulated within-subjects, with each participant completing the standard RT-CIT and a hybrid SST + RT-CIT, with 25% of each RT-CIT item type paired with a stop signal. We expect the standard RT-CIT effect to remain robust and hypothesize that adding SST-based inhibitory control demands will improve classification of guilty versus innocent individuals, yielding a more sensitive measure of the cognitive processes underlying information concealment.