Privacy-First DevSecOps: Automating Vulnerability Remediation with Local AI Agents

#Susquehanna #DevSecOps #AI #Cybersecurity #ModelContextProtocol #LLama #Shippensburg
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Technical Dinner and Presentation hosted by the IEEE Susquehanna Section and the Shippensburg University Milton and Doreen Morgan School of Engineering, Computer, Electrical, and Software Engineering Department, provides attendees an opportunity to learn about DevSecOps and how AI is being used.

Technical Presentation and Dinner presented by the IEEE Susquehanna Section

In highly regulated industries, the "busy work" of security patching often lags due to strict data privacy requirements that prevent the use of cloud-based AI. This session demonstrates how to bridge that gap by building a privacy-first DevSecOps agent that operates entirely within your own firewall.
 
We will explore an architecture that leverages Llama 3.1 via Ollama and the Model Context Protocol (MCP) to create a structured OODA loop (Observe, Orient, Decide, Act). By connecting Trivy for vulnerability scanning directly to GitHub for automated remediation, we show how an agent can autonomously draft patches while maintaining a strict Human-in-the-Loop (HITL) framework for final verification.
 
Key Takeaways:
- Local-First Architecture: How to run a CPU-friendly, production-ready AI agent on standard cloud instances or local hardware.
- Tool Orchestration: Using MCP to bridge the gap between security scanners and version control systems.
- Correctness & Safety: Implementing HITL checkpoints to ensure AI-generated patches are reviewed for correctness before deployment.
 
Food and drink will be provided free of charge to attendees.

  Date and Time

  Location

  Hosts

  Registration


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  • Shippensburg University
  • 1871 Old Main Drive
  • Shippensburg, Pennsylvania
  • United States 17527
  • Building: TBD
  • Room Number: TBD
  • Contact Event Host

  • Co-sponsored by The Shippensburg University Milton and Doreen Morgan School of Engineering
  • Starts 23 February 2026 05:00 AM UTC
  • Ends 20 October 2026 10:00 PM UTC
  • No Admission Charge

  Speakers

Pathmanaban Palsamy

Topic:

Privacy-First DevSecOps: Automating Vulnerability Remediation with Local AI Agents

Biography:

Pathmanaban Palsamy is a seasoned professional with over two decades of experience in application development, cloud architecture, test automation, and DevOps across the financial and public sectors. He helps organizations modernize systems, adopt cloud-native technologies, and scale platforms efficiently. As a passionate advocate for modern engineering practices, he focuses on bridging development, testing, and operations while exploring emerging fields like AI/ML.




Agenda

Dinner: 6:00 - 7:00 PM 

Technical Presentation: 7:00 - 8:00 PM

Wrap-Up: 8:00 - 8:15 PM


October 20, 2026 IEEE Susquehanna Section Dinner/Presentation

Shippensburg University

1871 Old Main Drive

Shippensburg, PA

United States 17257

Building: TBD

Room Number: TBD