As organizations deploy multi-agent systems and AI copilots across analytics, operations, and decision support, a new challenge emerges: agents with high-level permissions interacting with users or agents who have significantly lower privileges. This privilege asymmetry can lead to unintentional leakage of sensitive data, even when traditional access controls are in place.

This session introduces Asymmetric Access Safety, a governance and architectural framework for enabling powerful AI agents while enforcing strict permission boundaries. We’ll examine why LLM-driven systems are uniquely vulnerable, how “reasoning leaks” occur even without direct access, and what it means to align agent behavior with least-privilege principles. Attendees will learn practical patterns, architectures, and controls for building safe, compliant, and capable multi-agent ecosystems.

We’ll explore real-world examples, failure modes, mitigation techniques, and design patterns that can enable enterprise-ready AI systems.

Key takeaways: 

• Why multi-agent and human-in-the-loop systems create privilege asymmetry
• How LLMs leak data through reasoning, inference, and context propagation
• The importance of a strong foundational Data Management
• Governance patterns for enforcing Asymmetric Access Safety
• Architectural control, including role and session-bound access, guardrails
• Reference patterns for building compliant analytics agents and copilots

Speaker: Elliott Cordo, Founder/CEO/Builder, Datafutures.io

Elliott is an expert in cloud-native data engineering, strategy, and architecture, with a passion for helping organizations drive value from data. He has more than two decades of experience implementing cutting-edge, data-driven cloud-native applications. He has a passion for helping organizations understand the true potential of their data by working as a leader, architect, and builder. Elliott has built dozens of cloud-native data platforms on AWS, ranging from data warehouses and data lakes, AI, and machine learning infrastructure to real-time activation platforms in companies ranging from small startups to large enterprises. He is the founder of Data Futures, a consultancy focused on cloud-native data modernization, and an AWS Data Hero. https://aws.amazon.com/developer/community/heroes/elliott-cordo/