Every business with a payroll, a legal team, or a compliance obligation faces the same tension: AI offers transformative productivity gains, but feeding sensitive documents into a public chatbot introduces real risk. The answer isn't "don't use AI." The answer is deploying it the right way.
PHI in a public LLM is a HIPAA breach waiting to happen. One clinical note or patient record pasted into ChatGPT can trigger an OCR investigation.
Attorney-client privilege doesn't survive a third-party disclosure. Regulators are actively asking firms about their AI policies — and most don't have one.
Trade secrets, product specs, and supplier contracts fed into an uncontrolled AI tool are IP leakage. Competitors don't need to hack you if your own employees do the work.
Most AI implementation firms are led by engineers. SisuTech brings a security-first lens developed across 25+ years of enterprise cybersecurity — the same discipline that CFOs, General Counsels, and compliance teams speak when evaluating risk.
| Industry | Primary Concern |
|---|---|
| Healthcare | HIPAA / PHI exposure |
| Financial Services | SEC / FINRA data rules |
| Legal | Attorney-client privilege |
| Manufacturing | IP / trade secret leakage |
| Professional Services | Client confidentiality |
If you're working through the challenge of deploying AI safely in a regulated environment, this is the right conversation to have.
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