Proxy Company has an master degree in Design Technologies and Digital Intelligence from PUC-SP.

Among specialists in most areas of knowledge around the world, there has been unanimous agreement that human societies are going through a real shock of the future, resulting above all from the technological advances that are greatly affecting the biological, information and materials sciences (such as robotics, nanotechnologies, artificial life, neural networks, virtual and augmented reality), such as robotics, nanotechnologies, artificial life, neural networks, virtual, augmented and mixed reality and planetary information exchange networks), which places us at the heart of a new, global culture, challenging our traditional methods of analysis and action, our ways of knowing and teaching.

The name given to the program when it was born in 2006 – Technologies of Intelligence and Digital Design – is today a true anticipation of the developments that the explosion of the digital universe would have from then on and will probably have for the future. The keys to this anticipation lie, first of all, in the word “intelligence”. In fact, it is necessary to understand that digital technologies, which we still very improperly call machines because they are nothing like the machines of the industrial revolution, are intelligent technologies which, in their interfaces and sharing with humans, are leading to an ever-increasing in cognitive abilities of our species. So much so that the big move of the moment lies in the accelerated development of Artificial Intelligence, which is undoubtedly here to stay, grow and multiply.

It would be great to say that these technologies are an end in themselves for your cybersecurity and that simply adopting them means that your organization is fully protected. But it’s not that simple. Not all uses of AI (Artificial Intelligence) and ML (Machine Learning) are equal. And – spoiler alert – it’s not just about using the latest algorithms.

However, to meet the challenges and speed of today’s threat landscape, AI and ML are vital parts of a holistic security solution and must focus on the final result of preventing all possible types of attack and responding as quickly as possible to those that can’t be done.

AI alone is not an answer

Artificial intelligence in itself is not a differentiating factor for security. In fact, there are many different AI frameworks and models in common use today. Generally speaking, these frameworks come from academia and are open-source public implementations, available to everyone. So, it’s not the AI framework that makes the difference. What makes the difference is how the AI is used and what data is available for the AI to learn from.

What makes AI better and smarter for cybersecurity?

Regardless of the objective, AI that learns to act through machine learning needs high-quality data and as much data as possible to be effective. It is through this abundance of good data that AI is able to understand possible scenarios. The more real-world data it acquires, the smarter it becomes and the more experience it can draw on.

The main cybersecurity vendors are incorporating AI into their products and solutions, because without this resource it becomes unfeasible to protect corporations against cyber threats, but AI in itself is not the solution; we need to understand the products, their applicability and, above all, know the IT environment to be protected and its particularities.