Organizing and governing AI Assets
Blog post from Harness
Harness IDP's AI Asset Catalog addresses the challenges of managing sprawling AI components such as prompts, skills, agents, plugins, and commands, which are often scattered across multiple repositories, leading to operational and compliance risks. By integrating these AI assets into a governed catalog, Harness provides four key capabilities: Git-driven auto-discovery, semantic search, lineage and ownership mapping, and automated scorecards for risk and compliance. This system benefits developers by offering reusable, verified building blocks, platform teams by creating a single source of truth, and security teams by facilitating automated policy enforcement. The AI Asset Catalog simplifies the discovery and management of AI components while ensuring they adhere to existing governance models, thus reducing redundancy and complexity. It allows teams to track AI assets effectively, ensuring they are safe and compliant, all within the existing Harness platform infrastructure, providing a unified control plane that enhances innovation and efficiency.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Kubernetes | 13 | 2,550 | 356 | 111 | +22% |
| Platform Engineering | 5 | 1,257 | 305 | 77 | -22% |
| LLM | 4 | 7,115 | 1,261 | 236 | +13% |
| MCP | 4 | 7,781 | 805 | 204 | +0% |
| AI Agents | 2 | 5,949 | 1,325 | 249 | -4% |
| Observability | 2 | 3,826 | 727 | 190 | -10% |
| Developer Experience | 1 | 547 | 257 | 91 | +27% |
| Secrets Management | 1 | 2,472 | 449 | 128 | -3% |
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