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Hi folks!

Welcome to our April Cloud Native London meetup! Join us to hear from our three great speakers and network with your fellow techies over pizza and drinks, or alternatively chat and following along on Youtube or LinkedIn!

6:00 Pizza and drinks
6:30 Welcome
6:45 From "Trust Then Verify" to "Verify Then Trust": Securing the AI-Accelerated Software Supply Chain (Meghan McGowan, Cloudsmith)
7:15 Keeping Up: Testing in the Age of AI and Cloud-Native (Ole Lensmar, Testkube)
7:45 Wrap up

See you there!

Cheryl (@oicheryl)

From "Trust Then Verify" to "Verify Then Trust": Securing the AI-Accelerated Software Supply Chain (Meghan McGowan, Cloudsmith)
With AI accelerating code generation and GitOps driving continuous deployments, testing is under more pressure than ever to keep up.
Ole will take a step back to see what’s driving the evolution of testing as adoption of Cloud Native technologies and AI for code generation attempts to drive velocity through the roof. How can engineering and platform teams deliver on the need for continuous testing as a scalable approach to quality assurance across the enterprise? And how can DevOps teams leverage AI in testing pipelines for root-cause analysis, automated remediation and intelligent test scheduling - to help push the AI-infused velocity of their dev teams all the way into production?

Ole started building with XML APIs in the late 90:ies and has since then worked with multiple technologies and startups, most notably as creator of SoapUI in 2004 and Chairman of the Swagger / OpenAPI Initiative in 2015. He joined Testkube at its inception in 2021 and is now entirely focused on ensuring its success at bringing continuous testing to the cloud-native space. When not at his laptop he can be found playing a guitar or riding a bike, but rarely both at the same time.

Keeping Up: Testing in the Age of AI and Cloud-Native (Ole Lensmar, Testkube)
AI has made software teams faster than ever, but it's also quietly outpacing the security and infrastructure built to support them. Drawing on findings from Cloudsmith's 2026 Artifact Management Report, a survey of 505 engineering practitioners across technology, finance, healthcare, and retail, this session examines the compounding challenges that come with near-universal AI code adoption: expanded attack surfaces, hallucinated dependencies, fragmented AI model governance, and the growing operational tax of manual security remediation on top of aging infrastructure.
The session moves from data to diagnosis to direction, challenging teams to rethink a foundational assumption — that you can trust code first and verify it later. At AI scale, that posture is no longer safe. Attendees will leave with a clear picture of where the industry's most critical gaps are, how their peers are investing in 2026, and three concrete questions they can bring back to their own teams to identify where to act first.

Meghan McGowan is Principal Product Marketing Manager at Cloudsmith. Before joining Cloudsmith, Meghan spent nearly a decade in the cybersecurity industry focused on security integrations and automation, helping teams operationalize tooling that actually fits their workflows.
Based in London, she also worked closely on how threat intelligence can be applied to meet specific regulatory requirements, particularly NIS2 and DORA, giving her a grounded understanding of both the technical and compliance dimensions of modern software security.
About Cloudsmith: Cloudsmith is a fully managed, cloud-native artifact management platform that gives engineering teams a single, secure source of truth for all their software artifacts: packages, containers, binaries, and AI/ML models. Built for the scale and speed of modern software delivery, Cloudsmith provides universal repository support, automated security scanning, and policy enforcement at ingestion needed to meet today's compliance requirements.
https://www.linkedin.com/in/meghan-mcgowan-4b6bb81b/

Check out https://www.oicheryl.com/cloudnativelondon if you're interested in speaking or sponsoring.

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