Expand governance with breach protection - Theom's GAN
Neural network FOR adaptive breach protection
The technology and creativity underlying breaches are continuously evolving. The moment one approach is shut down, another one emerges. Simulating all possible permutations of breach attempts or even a subset thereof is clearly beyond the human scale. GAN technologies are needed to effectively simulate breach scenarios in an AI-controlled cat-and-mouse game between a hacking and a defending neural network.
GAN for Breach Simulation and Finding Techniques for Breach Detection:
AI Engine employs Generative Adversarial Networks (GANs), a machine learning technique that consists of two neural networks: a generator and a discriminator.
The generator is trained to generate synthetic data that mimics real-world breaches or attack scenarios.
The discriminator is simultaneously trained to differentiate between real and synthetic data, forcing the generator to improve its output continually.
By utilizing GANs, Theom's AI engine can simulate breach scenarios and identify potential weaknesses in the system, helping organizations proactively address vulnerabilities and enhance breach detection techniques.