Platform Engineering workshop in NYC: Turning guardrails into deterministic infra fixes
Platform teams have guardrails, scanners, and policies in Sentinel or OPA.
What they often lack is a reliable way to turn those guardrails into production-ready fixes in code.
Most organizations stop at detection. Findings accumulate. Engineers context-switch. Generative AI suggests changes that can be inconsistent or incomplete. In infrastructure workflows, “usually right” is not good enough!
In this live workshop in New York City, we introduce the Open Remediation Language (ORL) and show how deterministic AI converts policy into validated, reviewable code changes across Infrastructure as Code environments.
You’ll see:
How policy can be translated into enforceable remediation logic
Live generation of deterministic, explainable Terraform pull requests
How teams maintain control by reviewing and selectively accepting fixes
Where AI belongs in infrastructure workflows and where it does not
This is a technical, in-room session. Bring your laptop. Expect live demos, architectural depth, and candid discussion.
Speaker:
CTO & Co-founder @ Gomboc
Matt Sweeney is the Co-founder and Chief Technology Officer of Gomboc.ai, where he’s building next-generation cloud infrastructure security solutions. Before founding Gomboc, he led the Mandiant Security Validation engineering team at Google Cloud and held product and engineering leadership roles at Fortinet, OPAQ Networks, FourV Systems, and SRC, Inc. With over two decades of experience spanning applied R&D, DARPA challenges, and enterprise product development, Matt has shaped major offerings, including Fortinet’s FortiSASE and Mandiant’s risk analytics platform. He also holds four patents in AI-driven cybersecurity and ontological reasoning, reflecting his passion for turning deep technical insight into scalable, practical security solutions.