AI Agents: Building Trustworthy Agents- Part 6
This blog post, Part 6 in a series on AI agents, focuses on building trustworthy AI agents. It emphasizes the importance of safety and security in agent design and deployment. The post details a system message framework for creating robust and scalable prompts, outlining a four-step process from meta prompt to iterative refinement. It then explores various threats to AI agents, including task manipulation, unauthorized access, resource overloading, knowledge base poisoning, and cascading errors, providing mitigation strategies for each. The post also highlights the human-in-the-loop approach for enhanced trust and control, providing a code example using AutoGen. Finally, it links to further resources on responsible AI, model evaluation, and risk assessment, along with the previous posts in the series.Safer online spaces: powerful LLM for trustworthy generative AI
In the wake of a transformative shift in how we work, organizations are grappling with new challenges and obligations in communication and collaboration. Get a closer look at two primary use cases of communication compliance: business conduct and regulatory compliance. Learn how intelligent conditions, sensitive information types, and tagging capabilities refine communications in Microsoft Teams and Outlook, fostering a respectful and secure environment that helps empower employees. This session is part of the Microsoft Security Tech Accelerator. RSVP for event reminders, add it to your calendar, and post your questions and comments below! This session will also be recorded and available on demand shortly after conclusion of the live event.
