Frequently Asked Questions
Learn how pipIQ works, where it fits, and how it helps organizations use AI with stronger privacy, governance, and control.
Understanding pipIQ
pipIQ is privacy middleware for AI.
It creates a governed layer between sensitive business environments and the AI models an organization chooses to use, helping protect how information is accessed, processed, and used across AI-powered workflows.
Privacy middleware is the layer between your business data and the AI models you use.
For pipIQ, that means helping govern the movement of information between users, systems, files, knowledge sources, workflows, product environments, and model providers.
No. pipIQ is not a large language model and does not replace model providers like OpenAI, Anthropic, Google, Microsoft, or others.
pipIQ works with the models your organization chooses while helping govern how those models interact with sensitive data and business workflows.
Using an AI tool directly gives people access to AI.
pipIQ helps organizations use AI with stronger controls around sensitive data, approved knowledge, user permissions, model interaction, and oversight.
The difference is especially important when AI workflows involve customer data, employee records, legal materials, financial information, healthcare data, or proprietary business knowledge.
Where pipIQ Fits
pipIQ is primarily used in two environments: internal operations and SaaS products.
For internal operations, it helps employees use AI across company knowledge, documents, workflows, and sensitive information.
For SaaS products, it helps companies bring AI into customer-facing product experiences while maintaining stronger control over customer data and trust.
pipIQ is designed for AI workflows involving sensitive business information.
That may include customer data, employee records, financial information, legal documents, healthcare data, proprietary knowledge, partner information, client files, operational data, or regulated information.
Yes. pipIQ is model-agnostic.
It is designed to work with the AI models and providers your organization chooses, while maintaining a more consistent privacy and governance layer around how those models are used.
Privacy, Security, and Governance
pipIQ helps reduce unnecessary exposure by creating controls around how information is accessed, scoped, routed, and used in AI workflows.
That can include role-based access, sensitive data protection, approved knowledge configuration, scoped environments, administrative visibility, and governed model interaction.
Possibly.
Enterprise AI tools can be useful, but they do not automatically solve every privacy and governance question inside your organization. pipIQ focuses on the layer around AI use: sensitive data, internal knowledge, user permissions, workflow context, and oversight.
Implementation and Fit
No. pipIQ is implementation-led.
That matters because AI use in sensitive environments depends on your workflows, knowledge sources, access boundaries, model strategy, governance requirements, and security expectations.
pipIQ is a strong fit for organizations that want to use AI where sensitive data, privacy obligations, compliance requirements, customer trust, or security review matter.
That often includes SaaS, healthcare, financial services, insurance, legal, HR, professional services, and other high-trust or data-sensitive organizations.
Start with a conversation.
We’ll talk through where your organization wants to use AI, what sensitive information may be involved, what systems or workflows matter, and which stakeholders need to evaluate the path forward.
Yes.
pipIQ is built to align with widely recognized security and privacy standards, including:
- SOC 2 Type 2
- HIPAA
- GDPR
These standards reflect requirements around data protection, access control, and operational security in regulated or high-trust environments.
Shadow AI happens when people use public AI tools outside of approved systems, often without visibility or oversight.
pipIQ addresses this by providing a secure, trusted environment where AI can be used safely.
Instead of trying to block AI usage, organizations can:
- Offer a controlled alternative that meets user needs
- Maintain visibility into how AI is being used
- Apply policies and governance without slowing teams down
This reduces the incentive to use unmanaged tools while improving both productivity and security.
Yes.
pipIQ is designed for environments where privacy, compliance, and data control are critical.
That includes industries and use cases involving:
- Financial or legal information
- Healthcare or personal data
- Proprietary business processes or intellectual property
- Customer or tenant-specific data in product environments
Because pipIQ is built around controlled environments, defined data boundaries, and governance, it can be applied in situations where public AI tools would not be appropriate.
Still Have Questions About AI and Sensitive Data?
pipIQ helps organizations evaluate AI adoption where privacy, governance, access, and trust matter.