RAISE
Concealing sensitive data inside ordinary images, at production robustness.
The Challenge
A security-focused client needed to conceal sensitive information — text, PDF, and image payloads — inside ordinary digital images, robust enough to survive detection attempts, but usable by non-technical staff through a normal web interface.
The Approach
We engineered a SteganoGAN-based steganography pipeline into a full web platform with PDF, image, and text payload support. Integrated steganalysis via StegExpose and Aletheia continuously validates robustness and detection resistance against adversarial testing. Redis-backed job queuing handles the deep learning workload asynchronously behind a Next.js interface non-technical staff can operate directly.
Key Capabilities
Tech Stack
The Result
Detection Resistance Benchmark
“RAISE is used by a government contractor we cannot name. SteganoGAN-based steganography was engineered into a full web platform with PDF, image and text payload support, integrated steganalysis with StegExpose and Aletheia, Redis-backed job queuing, and a Next.js interface that non-technical staff can actually use. The detection-resistance benchmarks exceeded our requirements.”
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