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 | 13,294 | 944 | 215 | +3% |
| Platform Engineering | 4 | 1,762 | 383 | 94 | +34% |
| AI Agents | 3 | 6,886 | 1,647 | 284 | -3% |
| LLM | 3 | 10,571 | 1,926 | 257 | +37% |
| Multi-agent systems | 2 | 653 | 249 | 93 | +6% |
| Observability | 2 | 4,131 | 865 | 208 | -23% |
| Zero Trust | 1 | 311 | 80 | 35 | +52% |
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