5 Oct 2026
10:00am – 2:00pm
Eficode and GitHub
Join Eficode and GitHub for an in-person executive 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.
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 executive 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
This executive briefing explores how agentic AI is reshaping the software development lifecycle, from code generation and testing to security, governance, and delivery. Through expert presentations and interactive discussions, you'll examine the business impact of AI-assisted development, emerging security and compliance challenges, and practical operating models for maintaining control while enabling innovation. The session concludes with a roundtable where participants can exchange experiences, discuss common challenges, and explore how GitHub Copilot and GitHub Advanced Security support the safe adoption of agentic software delivery.
This executive briefing explores how agentic AI is reshaping the software development lifecycle, from code generation and testing to security, governance, and delivery. Through expert presentations and interactive discussions, you'll examine the business impact of AI-assisted development, emerging security and compliance challenges, and practical operating models for maintaining control while enabling innovation. The session concludes with a roundtable where participants can exchange experiences, discuss common challenges, and explore how GitHub Copilot and GitHub Advanced Security support the safe adoption of agentic software delivery.
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.
- AI
- GitHub
- DevOps
- Security
Ready to join us?
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