Your Team Is Already Using AI.Who's Watching the Data?
Employees paste client records into chatbots. AI writes code that ships with holes. Agents get handed more access than they should. We make AI safe to use — the tools you already have and the ones you build.
AI usage policy, code and application review, agent guardrails, and prompt-injection testing — built and run by one senior team.
The Risk Isn't the AI. It's How It Gets Used.
AI didn't create new categories of security problem. It created faster, quieter ways to trip the ones you already had. Here is where it usually goes wrong for a small business.
Shadow AI
Your team adopted AI tools faster than anyone set rules for. Client records, contracts, and source code get pasted into accounts you don't control and can't audit.
Vibe-Coded Vulnerabilities
AI writes code fast. It also ships exposed secrets, missing authorization checks, and injectable inputs — straight to production, where they become someone else's find.
Over-Permissioned Agents
An AI agent with broad access to your email, files, or customer systems and no logging is a breach waiting for the wrong prompt. Most are wired up with far more reach than the job needs.
What AI Security Actually Covers
Not a policy PDF and a handshake. Real work on the data your team feeds AI, the code AI writes for you, and the agents you put in front of customers.
AI Usage & Data Policy
We map the AI tools your team actually uses and where your data goes when they use them. Then we set a policy people follow instead of route around — not a 40-page PDF nobody reads.
AI Code & App Security Review
Audit AI-built applications for the problems they ship most: exposed secrets, broken authorization, and injectable inputs. You get a prioritized fix list, not a 200-page scan dump.
Agent Guardrails & Least Privilege
Scope what your AI agents can touch, log what they do, and contain the blast radius when one goes wrong. An agent should have exactly the access its job needs and no more.
Data Protection for AI Tools
Keep client and regulated data out of models that train on it. We help you pick tools that don't, configure the ones you keep, and prove where the data actually lands.
Prompt Injection & Model-Risk Testing
Test the AI features you ship the way an attacker would — feeding them crafted input to make them leak data or take actions they shouldn't — before a customer does it for you.
Governance That Fits an SMB
Right-sized policy, vendor review, and team training. Enough to be safe and answer an auditor, not so much that it grinds real work to a halt.
When You Don't Need This
If your team isn't using AI yet and has no plans to, you don't need AI security — you need the fundamentals first. We'll point you to our cybersecurity work and tell you so on the call, instead of selling you a program you won't use.
And if you just want a policy document to check a compliance box, there are cheaper templates online. What we do only pays off when someone actually reviews the code and the data flows — so if that isn't the goal, we aren't the right spend.
Is AI Security Right for You?
If any of these sound like your business, a short AI risk review is worth the hour.
Utah SMBs whose teams started using AI tools faster than anyone wrote rules for
Founders who shipped an app with an AI builder (Lovable, Bolt, v0) and want it checked before real customers hit it
Healthcare, finance, and legal teams that can't have client or patient data ending up in a public model
Companies running AI agents with access to email, files, or customer systems
Anyone who needs to answer “how do you use AI safely?” for a client, insurer, or auditor