The State of AI Traffic — 2026

We analyzed thousands of AI prompts across real developer workstations. Here's what we found: secrets, shadow tools, and patterns no one expected.

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349+ secret patterns

60+ AI sites

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MIT scanner

Key findings from the report

169 secrets

Found on a single developer's machine in 30 days of normal AI tool usage. AWS keys, database passwords, private keys.

12 shadow tools

The average developer uses 12 AI tools that security teams don't know about.

51% automated

More than half of AI traffic is now programmatic — agents and SDKs, not humans typing in chat.

96.4% credentials

Nearly all detected secrets are credentials — API keys, tokens, passwords — not just "sensitive data."

Don't block AI. Understand it.

Full visibility for security. Zero friction for developers.

Full Visibility

Every prompt, every response, every model, every cost. Across 39+ AI tools. No blind spots.

Secret Detection

349+ patterns catch AWS keys, DB passwords, API tokens, and private keys before they reach AI providers.

Cost Tracking

Real-time token counting, provider costs, per-app attribution. Know what you're spending and what's working.

What's in the report

Secrets by type and severity

Breakdown of 169 secrets: AWS keys, database URIs, private keys, API tokens. Critical vs high vs medium.

Shadow AI tool discovery

12 AI tools per developer that security teams don't know about. Full tool inventory.

Programmatic vs interactive traffic

51% of AI traffic is automated. What this means for your security posture.

Enterprise solution comparison

CitrusGlaze vs Netskope vs Zscaler vs Harmonic: coverage, cost, and blind spots.