The integration of AI agents into business operations is rapidly increasing, potentially exposing organizations to new vulnerabilities. These agents, if not properly secured, can be exploited to gain unauthorized access to sensitive information and systems, heightening the risk for enterprises. Recent findings from the Deloitte AI Institute indicate that nearly 74% of businesses intend to implement agentic AI within the next two years. However, only 21% have developed a comprehensive governance model for these autonomous agents. Key concerns among executives include data security and privacy (73%), compliance with legal and regulatory standards (50%), and the need for effective governance mechanisms (46%).
Many organizations may not recognize that they are granting agents significant access, leading to potential security gaps. To address this, a strong control plane is essential, which oversees the operation of AI agents and their associated tools. According to Andrew Rafla from Deloitte, a control plane is vital for managing permissions and policies governing agent activities. Without it, organizations risk uncontrolled execution of agents, which can result in unpredictable failures. Effective governance transforms experimental AI initiatives into reliable, scalable solutions, ensuring that deployments are safe and manageable.