Webinar Description
Key Takeaways
- Live demonstration of runtime authorization controls for AI agents in business environments
- Focus on context-aware access control that evaluates permissions based on agent identity, task and situational factors
- Addresses security and compliance challenges in AI-driven automation
- Relevant for security professionals, AI engineers and technical leads managing autonomous AI systems
About the Event
Securing AI Agents at Runtime is an online webinar hosted by IndyKite that examines how organizations can govern AI agent behavior through dynamic access controls. The session centers on a live demonstration showing how an AI agent responds to a routine equipment alert, triggering a sequence of automated actions. The demonstration illustrates that not every request receives automatic approval; instead, access and permissions are evaluated in real time based on context, business rules and the agent’s identity.
Runtime Authorization for AI Agents
The webinar addresses a fundamental challenge in AI deployment: ensuring autonomous agents only perform actions they are authorized to execute. Traditional access control models often rely on static permissions, but AI agents operating in dynamic environments require authorization decisions that account for changing circumstances. The session demonstrates how access controls can adapt based on who the agent is working for, what task it is performing and the specific context of each request.
Business Rule Enforcement in Automated Systems
Organizations deploying AI agents face the challenge of operationalizing business rules in real time. The webinar explores how security policies and business logic can be enforced at runtime, allowing AI-driven processes to operate within defined boundaries. This approach aims to address compliance risks that emerge when autonomous systems make decisions without human oversight.
Who Should Attend
The webinar is designed for security professionals including CISOs, security architects and security engineers responsible for AI governance. IT and DevOps teams implementing AI-driven automation, AI and ML engineers building agent-based systems, and product managers overseeing AI deployments will find the content relevant. The session is particularly applicable to enterprises and technology companies concerned with maintaining security and compliance as they expand their use of autonomous AI agents.