5 Oct 2026
10:00am – 2:00pm
Eficode and GitHub
Join Eficode and GitHub for an in-person roundtable event focused on securing the agentic SDLC. We will explore challenges and discuss how GitHub can help teams maintain speed with control by design of the guardrails, evidence model, and operating practices needed to scale AI-enabled delivery safely.
Keeping the Agentic Software Development Under Control
AI-assisted software delivery is rapidly evolving from individual developer support into an agentic software development lifecycle (SDLC), where AI can autonomously create code, generate tests, review changes, explain findings, support remediation, and accelerate delivery workflows.
For security leaders, this creates a new challenge: how do we enable the speed and innovation of AI-assisted development without losing control of software risk?
Join Eficode and GitHub for an in-person roundtable focused on securing the agentic SDLC. We will explore challenges and discuss how GitHub can help teams maintain speed with control by design of the guardrails, evidence model, and operating practices needed to scale AI-enabled delivery safely.
The session is designed for security, technology and engineering stakeholders who need to understand what agentic software delivery means for application security, software supply chain risk, vulnerability management, governance, and accountability.
Who should attend?
This roundtable is relevant for CISOs, application security leaders, security architects, CIOs, CTOs, engineering leaders, and GitHub platform owners.
Key takeaway:
You will leave with a clearer view of how to secure agentic software delivery: enabling AI-driven speed while maintaining control over accountability and evidence, with guardrails and practices to ensure the codebase meets your security requirements.
Agenda
Agentic software delivery is moving from future opportunity to operational reality. AI and agents can now support development, testing, review, documentation, remediation, and delivery. Security teams need to understand what changes, what risks emerge, and where to start.
Agentic software delivery is moving from future opportunity to operational reality. AI and agents can now support development, testing, review, documentation, remediation, and delivery. Security teams need to understand what changes, what risks emerge, and where to start.
Agentic development gives engineering teams a new level of speed, but it also changes the risk profile of software delivery. The leadership challenge is not only whether developers can produce more code, but whether the organization can maintain accountability, security, quality, and control as AI becomes more deeply embedded in the SDLC.
We will discuss the main management questions raised by agentic development across several key-areas: Governance and Legal Guardrails; Quality and Technical Debt; Security and Vulnerability; and not least Talent and Human Capital.
We will also explore how GitHub Copilot and GitHub Advanced Security can support a more controlled adoption model: Copilot helping developers work faster within approved workflows, and GHAS providing security signals.
Agentic development gives engineering teams a new level of speed, but it also changes the risk profile of software delivery. The leadership challenge is not only whether developers can produce more code, but whether the organization can maintain accountability, security, quality, and control as AI becomes more deeply embedded in the SDLC.
We will discuss the main management questions raised by agentic development across several key-areas: Governance and Legal Guardrails; Quality and Technical Debt; Security and Vulnerability; and not least Talent and Human Capital.
We will also explore how GitHub Copilot and GitHub Advanced Security can support a more controlled adoption model: Copilot helping developers work faster within approved workflows, and GHAS providing security signals.
Agentic software delivery cannot be governed by tool settings alone; it requires a clear operating model for ownership, guardrails, exceptions, evidence, and continuous improvement. We will present a practical operating model for controlled adoption of agentic software delivery.
Agentic software delivery cannot be governed by tool settings alone; it requires a clear operating model for ownership, guardrails, exceptions, evidence, and continuous improvement. We will present a practical operating model for controlled adoption of agentic software delivery.
We’ll end the briefing with an open discussion on challenges and solutions for keeping agentic development under control.
We’ll end the briefing with an open discussion on challenges and solutions for keeping agentic development under control.
Speakers
Cristian Russu
DevOps and AppSec Consultant
Cristian is an Application Security Engineer and communicator at Eficode, where he has spent the past three years helping organisations adopt GitHub Copilot, GitHub Advanced Security, and GitHub administration practices at scale. He has contributed to major GitHub security initiatives, including a rollout recognised with the GitHub Security Partner of the Year award in 2025.
With a background in backend engineering and DevSecOps in Azure environments, Cristian brings a broad technical perspective and enthusiasm for secure software development and AI. His focus is on helping teams build software in smarter, safer, and more sustainable ways.
Ramon de Boer
Senior Application Security Sales Executive, GitHub
Ramon is an application executive at Microsoft/GitHub, where he helps enterprises adopt GitHub Advanced Security and AI to secure how their software is built. He works daily with CISOs and security leaders in regulated industries such as financial services, energy, and government, and is a speaker at several events.
Mathias Olausson
VP GitHub and Microsoft Business
Mathias arbeitet an der Schnittstelle von Entwicklerplattformen, KI-gestützter Softwareauslieferung und moderner Softwareentwicklung. Er begeistert sich dafür, die Entwicklerproduktivität zu steigern und Entwicklungsprozesse mit GitHub, Azure DevOps und Azure zu modernisieren. Als langjähriger Microsoft MVP bringt er technische Tiefe, kommerzielles Produktdenken und eine starke Stimme als Thought Leader in die Community ein.
- KI
- GitHub
- DevOps
- Sicherheit
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