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© Luca Locatelli

Artificial Intelligence

From the algorithms in the analysis and management of Big Data in risk and threat assessment, to the new frontiers of Sigint/Techint, artificial intelligence appears as a theatre of confrontation and challenge in which those involved in the selection, management, administration and protection of Information and Security in general must be able to deal effectively.

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An increasingly complex criminal threat, with a deep knowledge of the Internet backbone and of the virtualization of the apparatuses, imposes a precise knowledge of paths and instruments capable of an effective contrast and of an equally effective capacity of defense and security of national interests.
Although far from the false myths and the still futuristic idea of artificial intelligences able to replicate the absolute human supremacy, we are well aware of the usefulness of such an instrument in the automation and scalability of computer products as well as in the acceleration of mechanical processes, both physical and simply mathematical.

Bitcorp believes that the implementation of expert systems of Artificial Intelligence and Neural Networks, in the field of Security Systems and automated detection, is central. So the consequent research and development of products and methods related to AI is mainly oriented to develop paths and practices regarding more general aspects where it can find a practical location, such as:

  • models, structures and morphogenesis, i.e. the topology for big data analysis;
  • cryptographic domains: the problem of anonymity;
  • Steganography and cryptography techniques in communications: distribution, integrity and consensus;
  • Dark and Deep web: the processes of distribution and influence;
  • Blockchain and graph chain: transaction/communication integrity, trust, consent, relational graphs and neural networks for data and source verification (sources and fake news);
  • Combined decision support (man/machine);
  • Pattern recognition and large-scale image processing;
  • High performance computation, generic and quantum algorithms.

Topological/mathematical analysis of models is now essential to increase analytical performance and information penetration, also taking into account the difficulties of cryptographic calculation.

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