Partner

Design partners

Help us build the AI agent firewall — we help you tune policy and reduce false positives.

Early results

3

Design partner cohorts

Active pilot organizations tuning policy against real agent workflows

14

Behavioral rules

Defined and tested across npm, secret, and network exfiltration chains

5

Attack scenarios

Runnable labs with proof commands — default vs. secure baseline

<2 min

Time to install

From download to telemetry flowing — TestFlight, PKG, or MDM

Who this is for

  • Engineering orgs running Cursor, Claude Code, or custom agents on macOS
  • Security or platform team willing to tune policy for 2–4 weeks
  • Comfort sharing redacted exec graphs and false-positive samples

What you get

  • Policy review against your agent workflows (install, MCP, egress)
  • Scenario-driven tuning (npm chains, secret paths, runner allowlists)
  • Early access to graph exports and fleet policy embeds
  • Direct line to engineering — not a generic support queue

What we ask

Install TURI on a pilot cohort, adopt the secure baseline, and complete the POC scorecard with the documented labs.

What partners have said

“We pointed TURI at our AI agent fleet and saw npm postinstall chains we had no idea were happening. The behavioral rules caught a secret-read → egress pattern in week one.”
— Security lead, Series B developer tools company
“The honest gaps page is what convinced us to try it. If they're willing to show what doesn't work, the stuff that does work is probably real.”
— VP Engineering, fintech startup

Contact

Email hello@turingmind.ai with subject TURI design partner and a one-paragraph description of your agent stack.

Running AI agents on Mac at scale? We'll tune policy with you.

Design partners →