Orchestrating Non-Human Identity (Workloads, Devices, Agents)
Combined Session
Thursday, May 21, 2026 12:05—13:05
Location: A 05-06
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Thursday, May 21, 2026 12:05—13:05
Location: A 05-06
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Agentic AI has rapidly emerged as a trend topic, with its adoption gaining increasing traction. Analysts forecast a substantial 33% growth by 2028, combining AI-based assistants responding to user prompts with completely autonomous agent-based workflows. However, the technology’s development is still in its earliest stages, with protocols such as MCP and A2A still under development and undergoing constant revision.
Between the enthusiasm with Agentic AI Adoption and the complexity of implementing it lies the concerns about agent’s authentication and authorization, privacy, data protection, risk & compliance, and the overall impact that agents will bring to the existing organization’ security controls.
For instance, while MCP offers a promising interoperability standard, its authorization model based on OAuth2.1 leaves gap. NHI lifecycle and governance capabilities are essential, but it remains unclear how to govern hundreds of thousands of agents, especially when MCP/OAuth2.1 proposes Dynamic Client Registration as the agent registration solution. These are just two examples of potential solution gaps.
In this presentation, we will explore the latest advancements in Agentic AI technologies and delve into the risks and security challenges organizations will encounter when deploying Agentic AI at scale. We will also discuss the required Cyber and Identity capabilities that organizations must have in place before embarking on the Agentic AI journey.
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As AI agents rapidly enter enterprise workflows - from copilots to autonomous executors - the boundary of identity is shifting. It’s no longer enough to govern who has access; organizations must now understand and control who (or what) actually takes action. This session explores a new approach that connects identity, intent, and execution into a unified model - capturing how tasks are delegated to agents, how decisions are made, and how actions impact systems and data. We will examine practical challenges in discovering agents, correlating intent with outcomes, and applying risk-aware controls without slowing innovation. The session includes a demo showing how real-time visibility and lightweight governance can bring accountability and trust to agent-driven environments.
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Every AI agent, every automated workflow, every new integration creates a new credential to manage, and a new opportunity for that credential to go wrong. The 2026 State of Secrets Sprawl reveals that AI service secrets grew 81% in a single year, and that the breach path increasingly runs through machine identities rather than human ones. GitGuardian shares what practitioners see in the field, from the remediation gap to the governance vacuum, and how to connect secrets security to a mature NHI program.
