IVIS

Case study · MeshMesh × ZIVIS

How MeshMesh cleared every stage of Salesforce's AI security review.

ZIVIS helped MeshMesh navigate a multi-stage enterprise security review by combining architecture review, adversarial testing, remediation support, and security leadership in the room.

< 48 hrs

Time to first signal

Engagement to initial results

~2 weeks

Report in hand

Across application and API layers

~4 weeks

Deep AI coverage

Full adversarial scenario library

100%

Every review stage cleared

Multi-stage enterprise review

The situation

MeshMesh, an AI-native platform, faced a multi-stage Salesforce security review. Timelines didn't flex, reviewers changed between stages, and the evidence bar rose each time. With LLMs and autonomous agents in the product, the security perimeter wasn't fixed — every API call and tool invocation was part of a shifting trust boundary the team couldn't fully see on its own.

What ZIVIS did

  • Architecture review across the application, API, and AI surfaces.
  • Hands-on testing of the AI workflows and trust boundaries.
  • Remediation support — findings tracked to verified closure.
  • Security leadership in the room when the buyer's reviewers had questions.

Why it matters

  • When the stakes are higher, ZIVIS can go deeper than a Mini Map.
  • One partner can combine architecture review, testing, remediation, and security leadership.
  • Jake and Jim operate together — engineering depth plus security and governance fluency.
  • ZIVIS can become the hands-on review partner — or the security function — when it counts.

Most teams start smaller — and that's the point.

You don't need an enterprise review to work with ZIVIS. Start with a $1,499 Mini AI Risk Map, and go deeper only if the stakes call for it.