Today’s era is the era of cloud computing and agent-based processing. Data security and integrity are achieved by information security systems, which ensure the continuity of business and protect organizations against potential risks. Information security systems are used to estimate the risks and search the place of the occurrence of the risks. It should also be able to measure the risk consequences associated with cloud organizations. The cloud organizations must analyze the information system processes and they should develop their own information systems based on the analysis. This paper proposes a comprehensive Agent-Based Information Security framework for Cloud Computing. We have considered risk assessment methods for calculating consequences by focussing on potential threats, assets, vulnerabilities, and their associated measures. A decision system for the organizations is created by taking the help of intelligent (smart) and software agents that are used to fetch and group the relevant information used in a framework that decides against threats based on information provided by the security agents. We have used a fuzzy inference system based upon fuzzy set theory for creating a decision system.