Industries · Dallas–Fort Worth, Texas

Security and AI risk in technology and SaaS

Every enterprise deal now has a security questionnaire, and the answers have to be true. We help Dallas–Fort Worth SaaS and technology companies reach SOC 2 readiness, build an answer library, and govern the AI features they ship.

$20M–$500M
Client revenue band
Mid-market, 50–500 staff
15 business days
Diagnostic
Fixed scope, written readout
SOC 2
Readiness
Evidence built once, reused every questionnaire
Where it breaks

The risks specific to technology and SaaS

The security questions come from customers, not regulators. That makes them fast, specific, and hard to defer.

SOC 2 readiness

Trust services criteria, a system description, and the evidence an auditor will sample. For most SaaS companies the gap is not the control; it is proving the control ran all year.

Customer security questionnaires

Every enterprise deal sends one, and the answers have to be true. Without an answer library and an evidence register, the same questions get researched from scratch every time.

AI features and LLM security

Prompt injection, data leakage between tenants, model and vendor dependencies, and disclosure obligations. AI features ship faster than the security review around them.

AI risk

Where AI changes the picture

You are both an AI user and an AI supplier. The internal tools your team uses and the AI features your product ships are two different risk conversations, and both need a decision recorded.

  • Customer data and prompts sent to a model provider without a review of training use, retention, or subprocessors.
  • AI features that can reach data across tenants because the isolation was designed for the old product surface.
  • No acceptable-use policy for internally generated code, so AI-written scripts reach production without review.
The first conversation

What we ask before anything else

  • Which customer questionnaire keeps coming back, and which answers are you least confident in?
  • Which AI features are live, what data can each one reach, and who reviewed them?
  • Can you prove access reviews, backups, and monitoring actually ran last quarter?
  • Which model or AI vendor would break the product if it changed terms tomorrow?

Start with the diagnostic.

Tell us the deal or the questionnaire that is stuck. The diagnostic tells you what evidence you can produce today and what to fix before the next deal depends on it.