Training and proper tool use
Most AI risk starts with people using the wrong tool the wrong way. Our classes and on-site training fix that at the source. Your team knows which tool fits which task and what is off limits.
AI Safety and Security
Security first. Always has been.
DarkHorse IT has been a security-first MSP since 2017. DarkHorse AI carries that exact posture into every AI engagement. We think AI through in layers, not as a feature you bolt on and hope for the best.
Layers of AI security
No single control makes AI safe. We stack the controls and we expect every layer to do its job.
Understanding the real risks
Prompt injection, data leakage through prompts, training-data exposure, and the boring everyday risks like copy-paste mistakes. We name each one, show what it looks like, and put controls in front of it.
Prompt injection minimization and mitigation
We treat any content from outside your business as untrusted, never as instructions. Tools an agent can call are restricted. Approval gates sit on anything destructive. The agent is treated like any other untrusted user.
Output scanning for sensitive data
Before an AI response leaves the workflow, it is scanned for sensitive data leakage. Internal documents, client data, credentials, and regulated information do not walk out the door inside an answer.
Private and local AI when warranted
For data that should never touch a public AI vendor, we deploy private models inside your environment. Retrieval is controlled, audit logs stay with you, and your data stays put.
Audit logging and human review
Every consequential AI action is logged. Human review sits where judgment matters. If a regulator or attorney ever asks what AI did and when, you have an answer in one page.
The DarkHorse AI Readiness Review
We sit down with your team for a working session, look at how data actually moves through your business, and produce a written readiness report. It tells you exactly which AI use cases are safe today, which need controls before they go live, and which should not run on public AI at all.
- Safe AI use policy. A practical document your team can actually follow.
- Data classification. Public, internal, confidential, regulated, and where each can legally go.
- Tool inventory and access review. Which AI tools are in use, who has access, and what their terms say about your data.
- Human review process. Where review sits, how it scales, and what AI is allowed to do unattended.
- Domain and email security check. SPF, DKIM, DMARC verified using the public DarkHorse IT scanner.
External scanner reference
The public DarkHorse IT security scanner at darkhorseitsecurity.com checks email authentication, SSL/TLS, security headers, blacklist status, and your visible technology stack. We treat its output as the floor, not the goal.
Schedule a readiness review
Two hours on a call and a written readiness report you can act on. Even if you do not engage us further.