Privacy-First GRC Analysis Tool Launched: Honest Assessment Reveals AI's Current Limitations and Strengths

A new, locally-run GRC analysis tool, Lacunae ControlSense, has been released, offering a privacy-first approach to mapping security controls to frameworks like NIST CSF, CIS, and NIST AI RMF. This article provides a transparent look at its development and, crucially, an honest evaluation of its performance, highlighting both its utility as a decision-support tool and the current accuracy limitations of AI in complex GRC tasks. Internal audit and assurance professionals should note the emphasis on local processing for sensitive data and the candid discussion of model accuracy, which offers valuable insights into integrating AI responsibly into GRC workflows.