Generate Compliance Content With Your Choice of AI Provider
A single hardwired model is a liability you can't switch out of
AI now writes a growing share of compliance content — but most tools hardwire you to one provider. When that provider changes terms, raises prices, or drops off your approved-vendor list, you have no fallback and no clean way to switch.
The credentials behind that AI are often unmanaged. API keys sit in plaintext config, token spend runs uncapped, and no one can say which model touched which record.
Meanwhile your team still drafts policies, registers, and assessments from a blank page — the slowest, least defensible way to produce documentation an auditor will read.
What you can do with the Multi-Provider AI Assistant
- Choose the provider per company — Anthropic, OpenAI, Google, or AWS Bedrock.
- Store provider credentials encrypted at rest, with Bedrock inference-profile resolution handled for you.
- Set token limits per model — context window and max output — from a central catalog.
- Run AI work through a background job queue so generation never blocks the app.
- Auto-complete form fields with AI-assisted drafting mapped to industry-specific capabilities.
What it delivers to your program
- No single-vendor dependency — switch providers per tenant if pricing, terms, or approval status change, with no platform migration.
- Credential and cost control you can defend — keys held encrypted, token ceilings enforced centrally, so AI spend stays predictable.
- Faster first drafts — policies, records, and assessments start pre-filled, freeing your team for review and sign-off.
- Stable performance under load — queued AI jobs keep day-to-day work responsive while content generates in the background.
Built for compliance
This feature is about how AI is operated inside your compliance program — provider choice, credential handling, and cost control — rather than a specific regulatory article.
| What DPMS does | Maps to | How |
|---|---|---|
| Stores provider credentials encrypted | Secure handling of AI access secrets | Encryption at rest with per-company credential scoping |
| Enforces per-model token limits | Controlled, predictable AI usage | Central catalog defining context window and max output per model |
| Lets you select the provider per tenant | Provider governance and exit options | Anthropic, OpenAI, Google, or AWS Bedrock chosen per company |
| Processes AI work via a job queue | Reliable, isolated AI execution | Asynchronous background queue with per-job status tracking |
Why Priverion
Unlike general-purpose tools that hardcode one model, the assistant is pluggable — four providers, selectable per company — so your AI strategy isn't tied to a single vendor's roadmap or pricing.
And it lives inside one unified privacy and InfoSec platform. The same assistant that drafts a policy can auto-complete a record or assessment, with credentials and token limits governed centrally instead of scattered across point tools. The control over how AI runs is the differentiator.
Questions CISOs ask before a demo
Can I use a different AI provider for each company?
Where are the AI provider credentials stored?
Can I control how many tokens the AI uses?
Will AI generation slow down the rest of the app?
Explore related capabilities
Ready to put AI under your control?
