Webinar Description
Key Takeaways
- Explores the evolving risks and complexities of AI-driven software development
- Highlights the challenge of Shadow AI and the need for visibility into unapproved AI tools and dependencies
- Examines strategies for securing both traditional and AI-specific software artifacts
- Discusses supply chain integrity through Zero Trust principles
- Focuses on policy enforcement and risk prioritization across the AI software development lifecycle
- Targets security leaders, DevSecOps, and compliance professionals in regulated and high-tech industries
The “Securing Agentic Development” webinar, hosted by ReversingLabs in partnership with Forrester, delves into the shifting landscape of software development as artificial intelligence becomes deeply embedded in coding practices and workflows. As organizations accelerate their adoption of AI-assisted coding and autonomous agents, the security implications are growing more complex and urgent.
AI-Driven Development: New Risks and Realities
AI is fundamentally altering the software development lifecycle. With the rise of agentic development—where autonomous agents and AI models play a central role—security teams face a new set of challenges. Traditional controls often fall short when it comes to monitoring and securing these dynamic, rapidly evolving environments. The session draws on Forrester’s 2026 Agentic Development Security Tools Research to provide a forward-looking perspective on these changes.
Shadow AI and the Visibility Challenge
One of the most pressing issues is the proliferation of Shadow AI: unapproved or unmonitored AI services, models, and components that can introduce hidden risks. Gaining visibility into these tools and their dependencies is now a critical priority for security leaders, especially as development teams experiment with new AI capabilities outside established governance frameworks.
Securing AI Applications and Artifacts
The webinar addresses the dual challenge of protecting both traditional software artifacts and those unique to AI, such as models, skills, and extensions. As AI applications become more prevalent, organizations must adapt their security strategies to account for new attack surfaces and evolving threat vectors. This includes ensuring the integrity and traceability of software supply chains, particularly in environments where Zero Trust principles are being adopted.
Policy Enforcement and Risk Prioritization in the AI SDLC
Maintaining effective policy enforcement across the AI software development lifecycle is a recurring theme. The session explores how contextual information can be leveraged to prioritize risks more effectively, both during development and in production. This approach is especially relevant for organizations operating in regulated sectors, where compliance and auditability are paramount.
Industry Context and Audience Relevance
The event is tailored for security leaders, CISOs, DevSecOps professionals, and compliance officers—particularly those in industries where regulatory requirements and operational risk intersect with rapid technological change. As AI adoption accelerates, these professionals are seeking actionable insights and practical frameworks to secure their development pipelines without stifling innovation.
Professional Development and Thought Leadership
Beyond technical content, the webinar offers attendees the opportunity to earn CPE credits, underscoring its value as a professional development resource. By positioning itself at the intersection of AI, security, and software supply chain integrity, ReversingLabs aims to foster a deeper understanding of agentic development risk and the tools required to manage it in the years ahead.