Private AI · SecureAI Private Platform
Private AI.
Proven private. Managed without compromise.
SecureAI Private Platform is a private AI environment dedicated to your organization — deployed on Microsoft Azure or AWS, operated 24/7 by CloudSAFE, with audit-ready evidence delivered every month.
Nothing shared with any other customer
Dedicated, not shared
Your own environment, network, and keys.
Model flexible
Frontier or open models, one governed gateway.
Managed 24/7
One accountable operations partner.
Evidence monthly
An audit-ready evidence pack, every month.
Why Private AI
AI adoption should not require surrendering control.
Public AI tools make experimentation easy. Production use is different: 57% of employees admit entering confidential data into public AI tools, 68% use personal AI accounts at work (TELUS Digital, 2025), and breaches involving shadow AI carry an average $670,000 in added cost (IBM Cost of a Data Breach, 2025).
SecureAI Private Platform brings identity, permissions, model choice, auditability, and operating accountability under one managed standard. Your data persists only inside your dedicated environment, under your keys; users see only authorized information; and your team gains a practical path from pilot to production.
All the AI your teams want. None of the exposure your auditors fear.
Same architecture, same controls — on Microsoft Azure or AWS, in your region.
The platform
What SecureAI includes
A governed private AI environment that belongs to you — approved knowledge, approved models, secure applications, and managed operations, dedicated to your organization.
01
Private knowledge
Connect approved repositories and retrieve authorized information with citations through private RAG.
02
Model choice
Leading frontier models reached privately inside your environment — or open-weight models on GPUs dedicated to you — behind one governed, metered gateway.
03
Customer-controlled security
Your own network and encryption keys: SSO through your identity provider, private connectivity end to end, and customer-managed keys (CMK).
04
Secure applications
Build assistants, copilots, document workflows, and agents with human approval for consequential actions.
05
Governance and evidence
Evaluate quality and risk, version models and prompts — and receive a monthly evidence pack written for your auditor, examiner, or board.
06
Managed AI operations
Monitor availability, security, retrieval quality, model lifecycle, capacity, cost, and recovery 24/7.
Private knowledge
Permissions are enforced before retrieval — not after generation.
01
Connect
Approved repositories
02
Protect
Scan, classify, preserve access controls
03
Retrieve
Permission-filtered vector search
04
Generate
Minimum authorized context
05
Audit
Sources, policy, model, and usage
How private RAG works
The source of truth remains in approved repositories and encrypted object storage inside your dedicated environment. Permission filters are applied before vector search, so only authorized context reaches the selected model — and the response can carry source citations.
Security truth
Authorized inference processes readable data inside an approved execution boundary. CloudSAFE minimizes exposure with isolation, private connectivity, metadata-only logging, and customer-managed keys — and re-verifies isolation monthly with automated tests.
Your cloud, your choice
Deploy where your data belongs.
SecureAI Private Platform is delivered on Microsoft Azure or AWS, in your region, as an environment dedicated to one customer: you. Same architecture, same controls, either cloud — with strict in-region data handling.
Microsoft Azure
Your dedicated environment on Azure — private networking, Entra ID SSO, and Azure OpenAI via private endpoints.
Your subscription or account
Prefer to hold the keys to the building? SecureAI runs in an Azure subscription or AWS account you own.
One governed gateway
Identity-checked / metered / safety-screened / metadata-only logging — the only path to any model.
AWS
Your dedicated environment on AWS — private networking, federated SSO, and Bedrock models via PrivateLink.
CloudSAFE-managed
Or receive it in a subscription CloudSAFE holds, dedicated entirely to you. Either way, nothing is shared.
One operating standardSame monitoring. Same security posture. Same response model. Same accountable team.
Security & proof
Private, and proven private.
Every SecureAI environment is dedicated to a single customer — network, identity, storage, keys, and logs are never shared. Choose how your models run; governance and evidence come standard in both tiers.
Private Managed — lead tier
Frontier models, privately in your environment
- Leading frontier models via private endpoints — never trained on your data
- Private RAG with citations, semantic caching, and content guardrails
- High availability, scaled to your organization — no GPUs to carry
- Dedicated environment, your keys, 24/7 operations
Private Self-Hosted — premium
Open-weight models on GPUs dedicated to you
- Model weights never leave your environment
- For the strictest data classes and token-heavy workloads
- Honestly labeled capacity — single-node standard or HA across zones
- 12-month terms aligned to reserved GPU pricing
In every tier
Evidence, every month
- Isolation test results — automated proof your environment shares nothing
- Control inventory mapped to NIST SP 800-53 (Moderate baseline)
- Egress and access logs, usage and policy report, change record
- A signed attestation summary your compliance team can file as-is
We say “mapped to NIST SP 800-53,” not “certified” — and we show you exactly which controls we operate and which remain yours. Exam prep, vendor reviews, board updates, and cyber-insurance questionnaires go faster when the evidence is already written.
Business outcomes
Turn sensitive knowledge and workflows into governed AI outcomes.
01
Private enterprise search
Find policy, contract, product, and operating knowledge with permissions and citations.
02
Document intelligence
Extract, classify, compare, summarize, and route high volumes of documents.
03
Employee and customer assistants
Give users approved answers and guided actions without exposing unrestricted data.
04
Proposal and SOW generation
Assemble accurate drafts from approved pricing, contract, and meeting data.
05
Policy and compliance support
Retrieve evidence, compare requirements, and accelerate review while keeping humans accountable.
06
Workflow agents
Coordinate approved tools and systems with allowlists, audit trails, and human approval.
Built for industries where trust and uptime are the business
Healthcare / Financial Services / Insurance / Manufacturing / Legal and Professional Services
How we work
One accountable managed-services partner from plan to production.
Your CloudSAFE Expertise Portfolio℠ brings together the precise mix of business, AI, cloud, security, data, and operations specialists your initiative requires — in three steps, where each one earns the next.
01
Assess
Private AI Readiness Assessment — three weeks: shadow-AI inventory, data classification, environment design, and business case. Fixed fee, credited if you proceed.
02
Pilot
Your environment live in about 30 days, with up to 50 users — frontier models, your documents, cited answers, and your first evidence pack. Success criteria agreed up front.
03
Production
Scaled to your organization with high availability, 24/7 operations, monthly evidence packs, quarterly reviews — and clear exit terms: your data, exportable, always.
CloudSAFE remains accountable
One contract. One operating standard. One team responsible for the outcome.
Private AI questions, answered.
What makes an AI environment private?
Privacy comes from the full architecture: approved deployment boundaries, identity, private connectivity, authorization before retrieval, encryption, logging controls, data retention, model governance, and accountable operations. Every SecureAI commitment is testable — with proof delivered in a monthly evidence pack.
Who else shares our environment?
No one. Each SecureAI environment is dedicated to a single customer — network, identity, storage, keys, and logs are never shared. Isolation is re-verified monthly by automated tests, and the results appear in your evidence pack.
Can we bring our own encryption keys?
Yes. Data is encrypted in transit and at rest with customer-managed keys (CMK), scoped to your environment. Key control strengthens governance, while authorized inference still processes readable data inside the approved execution boundary — we say that plainly.
Does our data train public models?
No. Frontier models are reached through private endpoints inside your environment and are never trained on your data. Open-weight models run on GPUs dedicated to you, and the weights stay inside. Data-handling behavior is validated and documented for the exact provider, region, and configuration of each model path.
Can CloudSAFE use our existing documents and permissions?
Yes. Private RAG connects approved repositories, preserves source and access metadata, applies permission filters before search, and returns only authorized context with source citations.
Can we change models later?
Yes. A model-neutral gateway keeps applications, policy, metering, and audit consistent while approved models change. New models are evaluated against your quality, security, latency, and cost requirements before production use.
Do we need a complete AI strategy before we start?
No. The three-week Private AI Readiness Assessment inventories the AI already in use (including shadow AI), classifies your data and priority use cases, and delivers your environment design and business case — whether or not you build it with us.
How quickly can we launch?
The Readiness Assessment takes three weeks, and a pilot is typically live about 30 days after it starts — up to 50 users, frontier models, your documents, and your first evidence pack. Production follows success criteria agreed up front, with explicit acceptance gates.
We already have a per-seat AI assistant. Do we need this?
They’re complementary — many clients run both. Per-seat assistants cover one vendor’s applications; SecureAI is the governed home for custom applications, every approved model, and the sensitive workloads those tools can’t see — one gateway, one set of rules, one evidence pack.
How is SecureAI priced?
As a monthly managed service per environment, on a 12-month term for production — preceded by a fixed-fee assessment (credited if you proceed) and a defined-scope pilot. The assessment delivers your business case and exact pricing before any long-term commitment.
Testimonials
Without compromise
Let's talk about your AI plans.
Start with three weeks of clarity. The Private AI Readiness Assessment tells you exactly what AI is being used in your organization today, what it should look like governed, and what it will cost — whether or not you build it with us. Fixed fee, credited if you proceed.
Start the conversation.
phone: (844) 600-0075 email: support@cloudsafe.com