Enterprise guardrails for every AI tool your staff use.
Provide a secure AI environment for your team and enforce your AI use policy across your institution, from the teller line to the boardroom.
- AI use policy enforced in real time
- Sensitive data redacted on-device
- Private prompt logs for audits
- Access through your existing SSO
Copilot
Gemini
Perplexity
Open Models
Enterprise AI inside your own Azure or AWS tenant.
MultiModel runs inside your cloud tenant and connects your staff to the latest models through your own Azure Foundry or Amazon Bedrock. Prompts and data never leave your network.
- Your data stays in your tenant. Every prompt, file, and response stays in your tenant.
- No training on your data. Your prompts and files are never used to train AI models.
- No new data agreements. Your existing cloud controls, retention, and access policies already apply.
M365 Login
VS Code
Cursor
Claude Code
Other IDEs
MultiModel deployed in your tenant
AI Portal
API
Infrastructure
- DLP Redaction
- Logging & Risk Scoring
- AI Model & RAG Config
- Policy Enforcement
- Executive Dashboard
ChatGPT
Claude
Copilot Chat- RAG Models
Grok
Other Models
Gemini (Google)
Perplexity (SaaS)- Other Models
Protect your staff from AI misuse, and your data from third-party training.
Catch sensitive information as it’s typed.
Customer names, account numbers, and other sensitive details are highlighted in the prompt while your staff write it, with a reminder of your AI use policy. They see the problem before anything is sent.
- Sensitive details highlighted as they’re typed
- A policy reminder at the moment it matters
- Works with every model, including External ones
Redact sensitive information automatically.
Sensitive data is detected and redacted on the employee's device, before it leaves your system. Customer and member details stay out of the prompt, whichever model your staff choose.
- 20x safer prompting
- On-device detection and redaction
- Pick the data types to catch, from names and card numbers to routing numbers
Choose which data categories are detected when DLP is enabled for a provider. Unchecked categories are ignored and not redacted.
Identifies sensitive information based on meaning and context.
Identifies sensitive information by matching specific formats, structures, and known patterns.
Words or phrases that will never be redacted, even if they match a detection rule. Case sensitive. e.g. your company name, product terms, or any text that should always pass through.
Words or phrases that will always be redacted, regardless of other detection rules.
An audit trail for full AI compliance.
Keep historical prompt records for your audits and exams, with the controls your compliance team needs to review them responsibly.
- Private prompt logs with recorded audit access
- User, group, and policy-level permissions
- AI prompt categorization and flagging
- Helps you meet SOC 2, ISO, HIPAA, HITECH, PCI, and more
3:46 PM What is my cash ordering procedure? mreyes@amfinancial.com Branch Policy Q&ASonnet 5 Internal No
1:08 PM Can you check the status on bank account US_BANK_NUMBER_1? PERSON_2's Social Security number is US_SSN_1. kfoster@amfinancial.com ChatGPT w/ Web SearchGPT-5.4 External Yes
7:43 PM What do I do if I get a counterfeit bill? mreyes@amfinancial.com Teller AIRAG Internal No
7:42 PM Review this HELOC exception against our lending policy. mreyes@amfinancial.com Loan AdvisorRAG Internal No
4:15 PM Draft a friendly reminder to a member about a missed auto loan payment. jellis@amfinancial.com Member LettersSonnet 5 Internal No
11:02 AM Summarize the latest NCUA guidance on third-party AI vendors. kfoster@amfinancial.com ChatGPT w/ Web SearchGPT-5.4 External No
Administer AI access through your SSO.
Connect Microsoft Entra ID (Azure AD), Okta, and other single sign-on tools to your AI assistants. Access follows your identity system, so onboarding and offboarding are handled where you already manage them.
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Decide which models can reach the internet.
MultiModel labels every model as Internal or External. Internal models run inside your tenant with no internet connection. External models can reach the internet. The split gives you tighter data governance and clearer AI policy enforcement, and admins choose who can use each model, so not every user has access to External models.
- Internal models stay in your tenant, with no internet access
- Every model is clearly labeled Internal or External
- Grant External models only to the groups that need them
- Apply stricter redaction rules to External models
Internal models run in your tenant with no internet connection. External models can reach the internet.
Gemini
External
MarketingIT & Security
Put your AI use policy into practice.
Go from a policy on paper to real-time enforcement and training. When a prompt breaks the rules, your staff see a policy message at that moment, so they learn the policy as they work.
- Your staff accept the current policy before they use AI
- See who has accepted each version, and who still needs to
- Publish a new version and everyone is asked again
Update your AI Use Policy and track user acceptance.
Move your institution forward with AI.
Help your teams adopt the latest AI technologies and approaches, with guardrails already in place. Start in the departments where time is tightest, such as compliance operations, member support, or loan application pre-review.
Then watch it take hold: weekly active users by tier, and totals for threads and prompts, show which teams are using AI and which need help.
AI for bankingTrack AI adoption across your organization.
Safer prompting and faster delivery.
Trusted by financial institutions.
“The AI portal gives us one secure place to operationalize all our AI models while providing the granular tracking of AI use that we need.”
“The AI portal allows employees to use and test GenAI capabilities in a sandboxed and controlled space rather than circumventing company policies and controls.”
“MultiModel gives us certainty about our data because everything stays in our network.”
“We knew AI had the capabilities we were looking for, but we weren't comfortable with our clients' sensitive information leaving our network. MultiModel lets us keep all data local while using the best AI tools.”
AI guardrails: FAQ
Straight answers for CIOs, CISOs, and compliance officers evaluating AI.
Talk to usWhat are AI guardrails?
MultiModel AI Guardrails let your staff work with leading AI assistants through a secure, compliant AI hub that you administer. MultiModel is an enterprise AI management service: your IT team manages each employee's access to, and use of, AI assistants, while your security and compliance teams get policy enforcement, redaction, and audit logs.
MultiModel can be deployed in cloud, hybrid, and on-premise environments.
Can we evaluate AI guardrails before we commit?
Yes, you can evaluate MultiModel AI Guardrails. Contact our sales team to get started with your setup.
How does MultiModel help with AI adoption?
Your staff get a single AI hub with the AI tools you choose, and each employee sees only the assistants you allow them to use. MultiModel makes it easy to roll out new AI tools across your institution, and to provision or de-provision users quickly. See AI implementation and rollout for how we help.
Which platforms does MultiModel integrate with?
MultiModel integrates with virtually every single sign-on approach, from Microsoft Entra ID and Okta to Active Directory and more.
Which AI models can we put behind guardrails?
ChatGPT, Microsoft Copilot, Claude, Gemini, Grok, and Structured AI Assistants you build yourself. You decide which groups get which models. Our recommended AI models guide suggests which model fits which kind of work.
What kind of support is available?
MultiModel offers documentation, email, chat, and face-to-face support based on your needs. Talk to us to learn more.
See guardrails running on the models your staff want.
We'll show your IT, security, and compliance teams how policy enforcement, redaction, audit logs, and SSO work together in one AI hub.