Security

Data Privacy and AI: Protecting Your Prospect Data

S
Security Team
December 1, 2025 5 min read
Data Privacy and AI: Protecting Your Prospect Data

Data Privacy and AI: Protecting Your Prospect Data

In the era of Large Language Models (LLMs), a new fear has emerged: "Is my proprietary data being used to train the public model?" At IngageNow, the answer is a hard NO.

The Data Silo Architecture

We use a "Tenant Isolation" architecture.

  • Your Data: Your leads, your templates, your metrics.
  • The Model: The reasoning engine.

We pass your data through the model to get an answer, but the model does not learn from your data for other clients. Your secret sauce remains yours.

Encryption Standards

All data is encrypted:

  • At Rest: AES-256 encryption on our servers.
  • In Transit: TLS 1.3 encryption when moving between you and our API.

SOC2 and Beyond

We adhere to strict SOC2 Type II standards. This means we have external auditors verify our security controls every year.

Conclusion

You shouldn't have to choose between AI power and Data Security. We give you both.

About the Author

S
Security Team
Editor