About NuDefndr

NuDefndr was created to solve a critical privacy problem: how do you protect sensitive photos without surrendering them to cloud services that promise "encryption" while holding the keys?

Traditional photo vault apps require you to trust their servers, their encryption implementation, and their promises not to access your data. Even with "end-to-end encryption," most services can technically decrypt your photos because they control the encryption keys.

We took a different approach. NuDefndr uses Apple's on-device machine learning frameworks to identify sensitive photos entirely offline. The AI model runs locally on your iPhone's neural engine—no cloud processing, no external APIs, no data transmission.

Once identified, photos are encrypted with AES-256 military-grade encryption and stored in a Face ID/Touch ID-protected vault. We don't hold the keys. We can't decrypt your vault. We can't "recover" your password. That's by design.

When you store sensitive photos, you're making a trust decision. With cloud-based vaults, you're trusting the company not to access your data, not to have security breaches, not to comply with government requests for decryption.

NuDefndr eliminates the need for trust. We can't access your vault because we never have the keys. We can't decrypt your photos because the encryption happens locally with your password. We can't "recover" lost passwords because we never see them in the first place.

This architecture means you're in complete control. The trade-off? If you forget your password, your vault contents are permanently inaccessible. That's the cost of true privacy—there's no backdoor, no "master key," no way around your encryption.