🔒 SECUREGATE.LOCAL
ACTIVE LOCAL SANDBOX
Privacy Gate Engine

Context-Aware Secret Redactor

Train a lightweight neural network directly on your CPU/GPU to detect and redact custom API keys, connection strings, and tokens in real-time. Zero network latency, zero server logs, zero leaks.

1. Live Outbound Redactor Playground

Paste code containing credentials or use a template below to evaluate model behavior.

Filtered output safe for cloud LLMs will stream here...

2. Background Context-Aware Training Station

Feed new custom token structures to the model. Backpropagation recalculates weights immediately in local memory.

🔬 Continuous Learning Verification Walkthrough:
  1. Load the Custom Node IDs snippet. Notice that alpha_node_4 is initially NOT redacted because it doesn't match baseline rules.
  2. Type alpha_node_4 in the field above and click "Teach as Secret". The model trains live.
  3. Now, type a brand new key in Box 1, e.g., config.secret_id = "beta_node_9". The neural net automatically flags and redacts it because it learned the structural geometry of node naming conventions and their assignment positions!

3. Secure Engine Diagnostics

Real-time execution diagnostics from the browser memory allocator.

Training Loss Curve (Last Run)
Classifier Loss (Error Rate) 0.00000
Tensors in WebGL/RAM Memory 0
Estimated Tensor Storage 0 KB
Hardware Compute Backend CPU

4. Active Training Dataset

0 Labeled Tokens

Token Pattern Label Extracted Features Action