Validation Rules
Validation Rules in the context of Enterprise Risk Management (ERM) refer to predefined conditions or constraints within the software that ensure the accuracy, completeness, and consistency of data entered into the system. These rules help enforce business logic by restricting incorrect or incomplete risk-related inputs, such as missing risk ratings or improperly categorized incidents. By applying validation rules, organizations can maintain high data quality, which is critical for reliable risk assessments, reporting, and compliance. This feature reduces the likelihood of human error, supports regulatory requirements, and enhances decision-making by ensuring that only accurate and validated data is used in risk evaluations.
This software is researched and edited by
Rajat Gupta is the founder of Spotsaas, where he reviews and compares software tools that help businesses work smarter. Over the past two years, he has analyzed thousands of products across CRM, HR, AI, and finance — combining real-world research with a strong foundation in commerce and the CFA program. He's especially curious about AI, automation, and the future of work tech. Outside of SpotSaaS, you'll find him on a badminton court or tracking the stock market.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
