Date: June 18, 2026
Time: 9:30 AM EDT | 8:30 AM CDT | 7:00 PM IST
Topic: Securing the Agentic Enterprise: A Guide to AI Workflow Security
Abstract:
Abstract- As enterprises increasingly adopt AI, organizations are entering a new operational era often referred to as the “agentic enterprise.” These AI-driven systems are capable of making decisions, executing tasks, interacting with applications, and orchestrating complex workflows with minimal human intervention. While this transformation unlocks significant gains in productivity and efficiency, it also introduces new and evolving security challenges that traditional security models were not designed to address. The current webinar explores the emerging security risks associated with AI-powered workflows and autonomous agents operating across enterprise environments. As AI systems become deeply embedded into business operations, organizations must rethink how they secure identities, data flows, APIs, automation pipelines, and decision-making processes. The webinar will examine the foundations of AI workflow security and provide practical guidance on building secure, resilient, and governance-aligned agentic environments. Join us to gain insights into how to establish visibility into AI-driven workflows, enforce trust boundaries, implement continuous monitoring, and apply security controls across the lifecycle of AI agents and automated processes.
Key Takeaways:
- Understanding the security implications of autonomous AI agents and workflows
- Key risks in agentic environments and securing workflows in AI-driven ecosystems
- Establishing visibility and monitoring capabilities across AI workflows
- Applying governance, trust, and access controls to autonomous systems
- Balancing automation with human oversight and operational accountability
- Best practices for securing AI workflows across their lifecycle
Speaker:
Mayur Rele, Senior Director, IT and Information Security, Parachute Health | Fellow, BCS
Bio: Mayur Rele is an AI and cybersecurity researcher with deep expertise in securing enterprise technology environments and advancing practical, defense-focused innovation in artificial intelligence. His work spans AI workflow security, agentic systems, data protection, cloud infrastructure, automation, and secure application deployment, with hands-on experience building and governing enterprise AI workflows using tools such as n8n, custom MCP servers, DLP controls, data masking strategies, and DevSecOps pipelines. He is particularly focused on helping organizations balance rapid AI adoption with strong security, visibility, and governance controls. Mayur has authored more than 36 publications in journals, conference proceedings, and book chapters, and actively contributes to the global research community as a reviewer, editor, and judge. Through his work, he brings together academic rigor and real-world enterprise experience to address emerging challenges in AI security, workflow orchestration, and the safe deployment of intelligent systems.
