Systems | Development | Analytics | API | Testing

Project SnowWork empowers business teams to automate multi-step workflows end-to-end, and drive real outcomes. Create revenue snapshots, diagnose missed forecasts, and generate summary slides with next steps — all without any coding experience needed.

Securing ClearML for the Enterprise — Part 4: Service Accounts & Automation Security In this video we walk through ClearML's service accounts — the identities behind your automated workloads — and how impersonation ensures least-privilege execution across your agents, pipelines, and schedulers.

Securing ClearML for the Enterprise — Part 5: Compute & Data Access Governance In this video we walk through ClearML's compute governance layer — resource pools, resource profiles, and resource policies — and how they work together to give every team fair, governed access to your GPU infrastructure while keeping it fully utilized. What we cover: Previous videos in this series.

2025 was vibe coding. 2026 is Agentic Engineering - and the security rules haven't caught up. AI agents now have direct access to your databases, your APIs, your Kafka clusters. The protocol giving them that access is MCP. And most teams have no idea how exposed they are. We are fixing this problem with OAuth 2.1.

AI native development requires AI native testing because testing teams now face code generated not just by developers, but by AI agents as well. To keep pace and maintain quality, testers need comparable AI-powered capabilities that can generate, assist, and scale testing alongside AI-driven development, helping level the playing field and support faster, more efficient delivery — Coty Rosenblath, Chief Technology Officer at Katalon.

In this episode of, *Steve Jordan* and *Shafreen Anfar* from WSO2 explore how integration is paving the way for the agentic enterprise, where humans and AI agents collaborate to drive business success. They discuss how seamless connectivity across systems provides agents with the real-time context and ability to take action that is necessary to scale AI from simple pilots to full-scale production. The conversation also highlights the importance of robust security, governance, and observability in managing this new digital workforce.