AI Governance: Who's Watching the Models?

Your CTO just found out engineering is paying for three different LLM accounts with a corporate card. Legal is running sensitive contracts through ChatGPT personal. And the security team — security doesn't even know what models are processing your data.

This is what happens when AI adoption outpaces AI governance. And it's not a policy problem — it's an infrastructure problem. You can't enforce rules at the AI layer when you don't control the AI layer.

What breaks without governance

• Employees paste PII into consumer AI tools — no oversight, no audit
• Devs wire LLMs into production systems without any security review
• Zero audit trail of which queries went to which providers
• No way to enforce content policies — or pull the plug on a rogue agent
• Compliance teams can't demonstrate GDPR, HIPAA, or SOC 2 readiness

How governance actually works

Real AI governance isn't a PDF your legal team wrote. It's infrastructure that enforces rules at the point of every single AI interaction — before the data leaves your network, not after.

Route by rule, not by accident

Marketing queries go to a cost-efficient model. Legal queries route to a private enterprise model. Developers get the frontier models they need — with budget caps. All enforced at the gateway, not in application code.

Block before it leaves

Define content restrictions that scan every query for PII, financial data, source code, or trade secrets. Matches are blocked with a reason logged. The data never reaches an LLM provider.

Log everything, export to SIEM

Every AI interaction is captured — user, department, query, model, tokens, cost, governance action. Export the full stream to Splunk, Datadog, or ELK via webhooks. Your security team gets visibility without building a new pipeline.

Row-level security baked in

Xilos uses PostgreSQL Row-Level Security to enforce tenant isolation at the database layer. Even if an application bug exposes a query interface, the database itself prevents cross-org data access. Defense-in-depth, not application-level filtering.

Virtual keys with budgets

Issue scoped API keys to developers and teams with monthly dollar caps, per-minute rate limits, and org-scoped access. Keys are hashed at rest — shown in plaintext once at creation, then gone.

Governance shouldn't mean slowdown

The best governance is invisible. Xilos sits between your users and their AI tools — rules apply automatically, users keep working. No extra steps. No friction. Just control that doesn't get in the way.