AI agents are gaining access to business systems, customer data, development environments, and operational workflows. That changes the nature of enterprise AI adoption. When an agent can execute actions rather than simply generate answers, organizations must think carefully about permissions, accountability, security, and the consequences of mistakes.
The Agentic AI Conference 2026, organized by Data Science Dojo, takes place on November 9–10 as a free virtual event. Running across two days, the conference brings together AI researchers, engineers, technology leaders, and practitioners to examine what it takes to deploy agents that enterprises can actually trust.
The Enterprise Challenges Behind Agentic AI Adoption
The conference focuses on four interconnected areas: security, compliance, governance, and alignment. These themes run through discussions on how much authority an AI agent should receive, how its actions should be monitored, and what safeguards are necessary before it can operate inside business-critical environments.
One key discussion examines agent permissions and accountability. As organizations delegate tasks such as processing transactions, updating customer records, and interacting with enterprise systems, the need for individual credentials, least-privilege access, approval thresholds, and auditable activity becomes more pressing.
The agenda also addresses less visible security risks. Sessions explore how malicious instructions can enter through retrieved documents, external tool responses, and agent memory. Other discussions examine sovereign AI dependencies, secure deployment practices, and the challenges of isolating agents without restricting their usefulness.
Alongside these panels, hands-on tutorials from Google DeepMind, AMD, LandingAI, Neo4j, and NVIDIA will demonstrate practical approaches to building, evaluating, and securing agentic systems.
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AI Leaders Bringing Practical Perspectives
The confirmed lineup includes Mat Velloso, Chief Product Officer at Docker, who will deliver the opening keynote on deploying AI agents at scale without compromising control.
Adnan Ijaz, Senior Director of Product Management, Agentic Data Cloud at Google, and Jamil Valliani, Head of Product, AI at Atlassian, will join a panel examining the authority and accountability organizations should assign to AI agents. Paige Bailey, AI Developer Relations Lead at Google DeepMind, will lead a tutorial exploring the company’s latest models and agentic workflows.
Explore the full speaker lineup and conference agenda here.
For enterprise technology leaders, developers, and AI practitioners, the conference offers a practical examination of the controls, architecture, and engineering decisions required to move agentic AI from experimentation into dependable operations.
To know more about the sessions and registration, visit the official Agentic AI Conference website.
