International Journal of Science, Engineering and TechnologyAuthors: Sahil Bagul, Ganesh Ghadge, Karan Dhokale, Dheeraj Patil
Abstract: The rise in data-focused work and stricter privacy rules has increased the need for dependable compliance management. Companies must show they follow rules like GDPR, HIPAA, and ISO 27001. Each has complex terms and overlapping control needs. Current audits mostly involve manual document review. Compliance staff compares policies, steps, and reports to legal terms. This takes time, lacks consistency, and can lead to mistakes. This paper presents VERITAS: Validation and Evidence-based Regulatory Intelligence for Transparent Audit Systems, an automated tool. It validates compliance at the clause level using semantic search and reasoning. The system handles company documents, turns text into semantic vectors, and pulls up relevant sections for each legal clause. It then uses rule-based reasoning to decide compliance with clear support. We conducted a study across datasets covering GDPR, HIPAA, and ISO 27001 policies. The tool validated a 10-page document in 26.8 seconds, with 91.2% retrieval precision and 87.5% reasoning accuracy. This beats manual audits in speed and reliability. The tool also gives reports with linked evidence, ensuring audit trails and understanding. By merging retrieval-based reasoning, clear decision paths, and scalable automation, VERITAS sets a base for regulatory assurance and compliance in data-driven businesses.
