Network communication has become a worldwide necessity for individuals, businesses and private and government entities. The problem is that there are hackers, and intruders both at the business and governments level who attack information systems and steal information for economical and political reasons. Information is in danger of being stolen and used for various purposes that affect not only individuals and companies but even nations. Stealing information and used in the advantage of the thieves has become part of the wars ravaging both locally and globally. all that mean that conventional information protection is not enough to guarantee that transmitted information reach its destination safe and secure and there is a need for intelligent techniques that can defeat hackers and intruders who implement advanced techniques to steal information. In this work chaos and artificial intelligence is combined to create what is called intelligent chaos that would protect information so it will not be misused even if it has found its way to the wrong hands. Has been used encryption algorithms that implement artificial intelligence (AI), specifically artificial neural networks (ANN) and fed them with chaotic circuits to obtain dynamically generated weights that would changes with the initial conditions and in turn ensure the generation of secret key needed for image encryption and decryption. Matlab is implemented to interface chaos with ANN and guarantee that training, validation and testing the chaotic ANN based encryption mechanism is efficient.