Securing Agentic Development

AI-driven development is rapidly changing how software is built and how risk enters the enterprise. From AI-assisted coding to autonomous agents, organizations are adopting new workflows that introduce complexity across the software lifecycle.

Join ReversingLabs and Forrester Sr. Analyst Janet Worthington for a look at the trends surrounding Agentic Development Security Tools in 2026. This session will explore how security leaders are adapting, where current approaches fall short, and what capabilities are emerging to secure AI-enabled development.

We'll cover securing AI applications, gaining visibility into AI tooling and dependencies, and enforcing policy across the AI SDLC. We'll also explore how teams are improving risk prioritization across both development and production environments.

Takeaways:

• Understand agentic development risk: How AI workflows change the software lifecycle
• Gain visibility into Shadow AI: Discover AI services, models, and the risks presented by supporting components — including MCP servers, skills, and extensions.
• Secure AI applications and artifacts: Address both traditional and AI-specific risks and threats
• Supply chain integrity with Zero Trust principles: Improve traceability of components, dependencies, and final builds
• Apply policy across the AI SDLC: Align security controls with compliance needs
• Prioritize risk effectively: Use better context to prioritize security guardrails across dev and production

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*Attendees will receive an attendance certificate to be used to apply for CPE credits.