Private GPT, by industry
A private GPT gives your workforce ChatGPT-class AI on infrastructure you control — no data egress, no third-party model training, no new vendor in your compliance story. What that requires differs sharply by industry: HIPAA in healthcare, DORA in banking, privilege in legal, air-gaps in defense. These guides cover each sector’s regulations, cloud blockers, and the documented use cases teams deploy first.
Private GPT guides for regulated industries
Healthcare
HIPAA · EU AI Act · GDPR (health data)
PHI cannot ride to a model vendor — plus the regulations, data classes, and first use cases for healthcare.
Banking & Financial Services
DORA · GDPR / Schrems II · EU AI Act
Every prompt is potentially MNPI — plus the regulations, data classes, and first use cases for banking & financial services.
Insurance
EU AI Act · GDPR (Art. 9) · Solvency II
Claims are health data in disguise — plus the regulations, data classes, and first use cases for insurance.
Government & Public Sector
National data protection & secrecy · EU AI Act · US CLOUD Act exposure
Consent and legitimacy — plus the regulations, data classes, and first use cases for government & public sector.
Defense & National Security
Classification regimes · ITAR / export controls · Accreditation (ATO)
Cloud is not a policy question here — plus the regulations, data classes, and first use cases for defense & national security.
Legal Services
Attorney-client privilege · Bar ethics rules · GDPR / client DPAs
Disclosure risks waiver — plus the regulations, data classes, and first use cases for legal services.
Manufacturing
Trade secret protection · Export controls (ITAR/EAR) · IEC 62443 / OT security
Prompts describe the secret sauce — plus the regulations, data classes, and first use cases for manufacturing.
Telecommunications
CPNI / subscriber privacy · NIS2 / telecom security · National security reviews
Topology is a national-security document — plus the regulations, data classes, and first use cases for telecommunications.
Energy & Utilities
NERC CIP · NIS2 · TSA/state PUC rules
BCSI cannot enter a vendor cloud casually — plus the regulations, data classes, and first use cases for energy & utilities.
Retail & E-Commerce
GDPR / CCPA · PCI DSS · Consumer protection rules
Your AI vendor may be your competitor — plus the regulations, data classes, and first use cases for retail & e-commerce.
Transportation & Logistics
Customer confidentiality clauses · Customs & trade compliance · GDPR
Shipment flows are customers’ secrets — plus the regulations, data classes, and first use cases for transportation & logistics.
Pharma & Life Sciences
GxP / 21 CFR Part 11 · HIPAA / GDPR · IP & patent strategy
A prompt can be prior-art — plus the regulations, data classes, and first use cases for pharma & life sciences.
Software & Technology
SOC 2 / ISO 27001 · Customer DPAs · IP protection
The codebase is the company — plus the regulations, data classes, and first use cases for software & technology.
Critical Infrastructure
NIS2 · Sector security rules · National CI protection laws
Dependencies are the threat model — plus the regulations, data classes, and first use cases for critical infrastructure.
Looking for deployment architecture instead? See the private AI deployment guides (on-premises, self-hosted, air-gapped, sovereign) or the on-prem reference architecture.
Private GPT basics
What is a private GPT?
A private GPT is a ChatGPT-class AI assistant deployed on infrastructure your organization controls — on-premises, private or sovereign cloud, or air-gapped — so prompts, documents, and outputs never enter an external AI vendor’s systems and never train third-party models.
How is a private GPT different from ChatGPT Enterprise?
ChatGPT Enterprise is a contractual promise on a vendor-operated cloud; a private GPT is an architectural guarantee on your own infrastructure. For regulated industries the difference matters: data residency, audit trails, model control, and jurisdictional exposure are structural properties, not contract clauses.
Why do private GPT requirements differ by industry?
Because the blocking constraint differs: HIPAA and PHI in healthcare, DORA and MNPI in banking, privilege in legal, ITAR and classification in defense, trade secrets in manufacturing, NIS2 dependencies in critical infrastructure. Each industry guide covers its regulations, data classes, and proven first use cases.
Plan your on-prem AI deployment
Book an architecture call and we will scope a private, on-prem AI deployment for your environment — integrations, hardware, and governance included.