Join the AI Agent & Copilot Podcast as we dive into the latest AI advancements from Microsoft and its partners. This episode features Tom Smith discussing an upcoming session on “AI and Security, Legal Challenges & Policy Considerations” at the AI Agent & Copilot Summit. Guests Nathan Bensch and Corey Hlavacek from enVista share insights on AI in supply chain management and the critical role of security in AI applications. They highlight the need for strong AI governance and policies to navigate legal challenges while emphasizing executive support for successful AI integration. Discover best practices for developing AI strategies and how Microsoft Copilot enhances incident response efforts in security. Don’t miss this essential conversation for businesses leveraging AI technology.
Welcome to our latest update from the AI Agent & Copilot Podcast, your go-to source for the latest developments in AI Copilot technology from Microsoft and its partners. In this episode, Tom Smith engages with guests Nathan Bensch and Corey Hlavacek, who will be presenting at the upcoming AI Agent & Copilot Summit.
The discussion revolves around their session titled “AI and Security, Legal Challenges & Policy Considerations.” With a focus on AI within the supply chain and retail sectors, enVista, the company they represent, is helping organizations leverage AI tools, particularly Microsoft Copilot. They emphasize the need for strong governance structures, especially for industries like warehousing and supply chain management.
Highlights from the podcast include insights into the integration of AI in security measures. Hlavacek brings attention to how Microsoft Copilot can enhance incident response efforts, detailing its ability to summarize incidents quickly and aid in proactive threat detection. This session promises to be informative for those concerned about AI security best practices.
Furthermore, Bensch and Hlavacek will address critical legal issues surrounding AI deployment, emphasizing the necessity for well-defined policies and compliance strategies. They share practical tips on securing executive support for AI initiatives and creating comprehensive AI governance policies. This is crucial for balancing business goals with compliance and security needs.
The AI Agent & Copilot Summit will take place from March 17-19 in San Diego, California. It’s an essential event for anyone looking to explore the possibilities and impacts of AI technology in various business sectors. Don’t miss the chance to register now!
To summarize, this episode sheds light on the intersection of AI and security, legal challenges, and best practices for developing AI policies. Whether you’re an executive or a tech enthusiast, there are invaluable insights to gain from this discussion.
Keywords: AI Copilot, Microsoft, AI security, AI governance, AI policy, supply chain.
What is the main focus of the AI Agent & Copilot Podcast episode featuring enVista leaders?
The episode centers on AI security and governance. enVista leaders share their insights on how businesses can manage these crucial areas as they adopt AI technologies.
Why is AI security important for businesses?
AI security is vital because it helps protect sensitive data from breaches and misuse. Companies need to ensure that their AI systems are safe and reliable.
What governance measures should companies consider for their AI systems?
Companies should create clear rules and practices for using AI. This includes setting up policies for data use, monitoring AI decisions, and regular audits to ensure compliance with legal standards.
How can businesses balance AI innovation and security?
Businesses can foster innovation while maintaining security by integrating security practices early in the AI development process. This helps reduce risks while still allowing for creative solutions.
What advice do enVista leaders give for implementing AI governance?
They advise starting with a strong framework that outlines roles and responsibilities. Regular training and updates on best practices can also help teams stay informed and compliant in the fast-evolving AI landscape.