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"Securing the Untrusted Agentic Development Layer"

Monday, May 18th at 11am ET

From Shadow AI to Autonomous Governance: Navigating the New Frontier of Agentic Risk

AI agents are no longer just a nice-to-have in the developer toolkit. They are becoming active participants in the software development lifecycle. However, this autonomy comes with a significant catch: the attack surface is expanding exponentially as agents are adopted not just by professional engineers, but by a growing wave of "citizen developers".

The challenge is that development teams are increasingly relying on agentic tools and custom integration without security evaluation. Most organizations currently lack the visibility into what these agents are doing during development – what tools they can call, what data they access, and how their behavior can be influenced. This shadow AI crisis, combined with the rise of build-time prompt injection, means that risks are being introduced long before any traditional runtime guardrail can catch them.

To enable safe adoption of agents at scale, security leaders must move toward a Secure at Inception model that validates the system producing the code, not just the code itself. Join us to learn how to architect a development environment where your builders and their agents can move fast and securely.

Key Takeaways:

• Visibility and inventory: Learn how to establish a continuous discovery and risk scoring process for all embedded AI components and agentic tools to eliminate Shadow AI.
• Neutralizing toxic MCP skills: Discover how to analyze tool definitions to flag malicious capabilities like data exfiltration before an agent ever connects to your environment.
• Defending the dev session: Understand how to detect and block build-time prompt injections that attempt to override system instructions or exfiltrate developer credentials.
• Scaling secure adoption: See how to transition from manual security to an automated governance model that supports the velocity of autonomous agents.

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