How Uber built the enterprise AI security playbook
Blog post from Speakeasy
Uber has developed a comprehensive enterprise AI security infrastructure, achieving significant integration of AI tools across its operations by 2026, with AI generating a substantial portion of code within the company. This infrastructure, built over several years, includes three key components: the GenAI Gateway, which manages PII redaction and access control; the MCP Gateway and Registry, which oversees agent-to-tool connections and enforces security protocols; and an agent identity system that tracks the lineage of multi-agent workflows. This layered approach enables Uber to maintain strict governance, prevent data exfiltration, and ensure secure tool access, facilitated by a dedicated Agentic AI Platform team. Uber's methodical approach—prioritizing the construction of governance layers before scaling AI adoption—serves as a model that the broader market can emulate through products like Speakeasy, which offers similar infrastructure solutions.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| MCP | 10 | 7,098 | 726 | 186 | +16% |
| Platform Engineering | 4 | 1,288 | 297 | 83 | +19% |
| AI Agents | 3 | 4,942 | 1,264 | 250 | +12% |
| LLM | 3 | 9,074 | 1,640 | 224 | +53% |
| Multi-agent systems | 2 | 546 | 198 | 78 | +19% |
| Observability | 2 | 3,421 | 707 | 180 | -24% |
| Zero Trust | 1 | 152 | 46 | 28 | +67% |
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