How Skip Protects Your Data: Enterprise Security Without Compromise

In an era where AI tools promise to revolutionize data analytics, one critical question keeps decision-makers up at night: Where does my data actually go?

It's a legitimate concern. Most AI analytics platforms require you to upload your sensitive member data to their cloud environments, where it's processed by third-party AI models. You're essentially handing over the keys to your most valuable asset—and hoping for the best.

Skip takes a fundamentally different approach. One that ensures your data never leaves your secure environment, while still delivering the full power of AI-driven analytics.

The Security Problem with Traditional AI Analytics

When you use popular AI data analysis tools, here's what typically happens:

1. You export your data from your AMS, CRM, or other systems
2. You upload it to the AI platform's servers
3. Your data gets processed by AI models (often from third parties like OpenAI)
4. Results are returned to you

At every step, your sensitive member information—names, addresses, financial data, engagement history—is being transmitted, stored, and processed outside your control.

Even when these platforms promise security, you're still trusting them with your organization's most confidential data. And once that data leaves your environment, you've lost sovereignty over it.

Skip's Revolutionary Security Architecture

Skip eliminates this risk entirely through a unique architectural approach: your data never leaves your environment.

Here's how it works:

1. Understanding Structure, Not Stealing Data

When Skip analyzes your data, it doesn't need to see the actual information. Instead, it requests metadata—the "shape" of your data:

• What tables exist (members, transactions, events, etc.)
• What fields are available (name, email, join date, renewal status)
• How different data elements relate to each other

Skip can request a few sample records to validate its understanding, but crucially, these samples are never stored anywhere in Skip's systems. They're viewed momentarily and then discarded. This capability can even be disabled entirely for organizations with heightened security requirements.

Think of it like hiring a consultant who learns your organizational chart and processes without ever seeing your actual financial statements.

2. Code Generation, Not Data Extraction

When you ask Skip a question, here's the secure workflow:

Your Question: "Show me member retention by region for the past year"

What Skip Does:

• Understands your business question
• Queries your system for data structure information
• Generates secure code that will retrieve the answer
• Sends that code component back to your environment

Where Execution Happens: The code runs entirely within your secure environment—on your servers, behind your firewall, using your security protocols. Skip never executes queries against your actual data.

The results are displayed in your browser, but the data retrieval happens completely within your infrastructure.

3. Organization and User-Level Security

Skip implements sophisticated multi-tiered security:

Organization Identification:

• Every organization connects to Skip with a unique API key
• All components, notes, and learnings are isolated by organization
• No data sharing between customers—ever

User Authentication:

• Individual users have unique identifiers within their organization
• Skip knows exactly who is making each request
• User context is maintained throughout all interactions

Role-Based Access Control: When a Skip component runs in your environment, it executes under the logged-in user's security context. This means:

• If Jane doesn't have access to financial data in your system, Skip components won't give her access either
• Even if someone shares a finance-related component with her, it will simply fail to execute
• Your existing security policies and permissions are automatically enforced

There's no new security model to learn or implement. Skip respects the access controls you've already established.

Institutional Learning That Stays Private

One of Skip's most powerful features is its ability to learn from every interaction—understanding your organization's unique terminology, priorities, and business context.

These learnings are stored as "notes" that help Skip become smarter about your specific needs. For example:

• Your organization uses "committees" in your database, but Skip learns this is where you store Board of Directors information
• Certain terms or metrics are specific to your organization
• Particular analytical patterns matter most to your team

Security guarantee: These notes are tied exclusively to your organization. They're never shared with other Skip customers, and they're never used to train broader AI models. Notes can be created manually by administrators or generated automatically over time through Skip's learning cycles based on usage patterns.

When Skip gets smarter about your organization, that knowledge remains completely private and isolated.

What About Compliance?

Data Residency: All Skip infrastructure is hosted in the United States in secure, regionally isolated cloud environments.

GDPR Compliance: Skip follows GDPR principles for any user and organization information it stores (like user accounts and preferences). This includes:

• Right to request data removal
• No selling of data to third parties
• Transparent data handling practices

Encryption:

• All data transmitted between Skip and your environment is encrypted in transit
• Your actual member data remains in your environment, encrypted according to your own infrastructure standards

Compliance with Your Standards: Because your data never leaves your environment, it remains subject to your existing security certifications and compliance frameworks. Whether you maintain SOC 2, ISO 27001, or other security standards, Skip works within your established infrastructure—you don't need to evaluate an entirely new security posture.

The Licensing Security Feature

There's one more security element worth mentioning: component licensing verification.

When you use Skip, the components it generates are stored in Skip's registry. Every time you access one of these components, Skip verifies:

• Your organization maintains an active license
• The user has proper authentication
• Access is authorized

If an organization cancels their Skip subscription, they can no longer execute Skip-generated components. While the underlying data remains in your environment (it always was), the analytical tools Skip created require an active subscription to function.

While it's technically possible for a developer to capture browser code and work around this (as with any web application), it's difficult enough to make most organizations unattractive targets for this kind of workaround.

This isn't about restricting your access to your own data—you always own that. It's about maintaining the integrity of the Skip-as-a-service model while ensuring you retain complete data sovereignty.

A Different Philosophy

Most AI analytics tools ask you to make a choice: accept security risks to gain AI capabilities, or maintain security by avoiding AI altogether.

Skip rejects this false choice.

Our architecture is built on a fundamental principle: You should never have to sacrifice data security for analytical power.

By generating code that runs in your environment rather than extracting data to run in ours, Skip delivers the full capabilities of cutting-edge AI while ensuring your sensitive member information never crosses your security perimeter.

The Bottom Line

When evaluating AI analytics tools, ask these critical questions:

• Where does my data actually get processed?
• Who has access to it during processing?
• Is it used to train AI models?
• What happens if I cancel my subscription?

With Skip, the answers provide complete peace of mind:

✓ Your data is processed entirely within your secure environment
✓ Only your authorized users have access, according to your existing security policies
✓ Your data is never used to train AI models
✓ You retain complete ownership and control of your data, always

In a world where data breaches and AI privacy concerns make headlines daily, Skip offers something rare: the power of AI-driven analytics with the security of complete data sovereignty.