Manoj Saxena is the Founder and CEO of Trustwise, an AI safety company focused on helping enterprises securely deploy and control agentic AI systems. A pioneer in responsible AI, he was the first General Manager of IBM Watson and is also the Founder and Executive Chairman of the Responsible AI Institute, a global nonprofit focused on advancing trustworthy and responsible AI. A serial entrepreneur and University of Texas at Austin lecturer, Manoj has founded two venture-backed software companies acquired by Commerce One and IBM and holds 34 software patents.

As AI evolves from answering questions to making decisions and taking action, the risks to businesses are becoming harder to see and control. Hidden instructions or improper access to sensitive data can expose information, trigger unauthorized actions, and disrupt operations. How can organizations harness AI's power without losing control?

For Manoj Saxena, a pioneer in Trusted Artificial Intelligence, organizations need a control layer that ensures AI acts according to policy, intent, and compliance. He highlights a three-step approach — assess, control, and optimize — to identify risks, apply tailored policies, and simulate AI behavior before deployment. He also shares real-world examples of silent breaches and explains why autonomous agents require clear boundaries, oversight, and accountability. These safeguards allow businesses to innovate with AI while reducing risk and maintaining trust.

In this episode of the Inspired Insider Podcast, host Dr. Jeremy Weisz sits down with Manoj Saxena, Founder and CEO of Trustwise, to discuss controlling the risks of enterprise AI. They explore silent AI breaches, governing autonomous agents, and building responsible AI systems. Manoj also shares emerging AI revenue models and lessons from auto racing.