Growing complexity means more exposure to cyberataques, but do not consider it as the enemy, hugs –

Seventy years ago, IBM IBM 650 introduced as the first mass computer machine, selling 450 units. Last year, the global information technology industry sold a Dear 5.7 trillion dollars of goods and services. I think this shows that access to digital information is as important for success as intellectual property or brand.

More than size, the key element of today is its incalculable complexity and increasing. The growth and scale of connected systems create more relationships between people, objects and lines of code. It is a non -linear, explosive and essential phenomenon.

I love it. The exchange of almost continuous information allows our digital lives, with benefits that are envy of any other time before. I sell a small town in India and, for billions of people like me, your ideas and your unit could not reach many people before today. It is how we have had a revolution in biosciences, how anyone can start a business anywhere and how we can predict and face natural disasters better than before. The speed of data is wonderful. Complexity is growth.

But I hate it too. In a recent survey of Rubrik Zero Labs, 90% of the companies surveyed said that they now manage hybrid cloud environments, as in their facilities, out of place and up to five different cloud platforms. Apart from the inconvenience, I think cyberataques have at least 10 different ways in a corporate system.

Cryptocurrencies have provided opportunities to cybercrimers to carry out ransomware attacks, and remote work has increased the opportunities of pirates based on social engineering identity and security attacks. A shocking 86% of the companies reported paying a rescue once they obtained a demand for extortion, another finding of Rubrik Zero Labs. This complexity can be a great tax on the economy.

I love or hate -however, the digital complexity does not disappear. People support the cost of having the benefit. Ai will not simplify everything, nor quantum computing. Complexity must be managed in completely new ways as systems grow more and more complex.

The best professionals embrace the changing reality. “I stay in this business because it continues to change,” says Steve Pugh, information security manager at Intercontinental exchangethat, among other things, she owns the New York Stock Exchange, future markets and risk management practices. Today, according to him, the complexity is shown in “a preponderance of automated attacks, more access to piracy tools and increasing speed of attacks.”

In response, it has focused on the basic values ​​of its markets, such as continuous time, and created a system of risk -oriented researchers that remain in new piracy technologies and techniques, as well as a “red team” of employees who deliberately try their safety. Continuous protection means continuous learning.

What complexity do I speak here? In addition to traditional, there are More smartphones that people, 92% of them in fast networks. Apple manage 2 million different applicationsFrom tens of thousands of developers. There are billions more sensors and AI models Petabytes riding. Now they’re done 1.100 Hyper -scale data centers, each, from 5,000 to much more than one million servers.

It goes from here. In the current dollars, Manhattan project to create the first nuclear weapon cost $ 36 million. This year Microsoft will usually happen twice Is Oh. Google, Amazon and Meta They are all spent on this level or higher. This means more data, more frames, more cases of use, more information speed, more complexity.

I think what is being built is not bigger now. It is different. The color of a car color is used for online sales, for an insurance report, for an influencer publication, for a self-teaching program, or as part of a much larger question? Once something that was mostly stored and sometimes obtained, the data is now in almost continuous moving, creating a new tax on the networks. For the analysis, it must be of the highest quality. If there is a problem with a hallucination of the AI, it is more likely to be a problem with data than a problem with the code. Managing the complexity of data like this is completely new.

There are similar challenges for supposedly “simplifying” technologies, such as the generative AI writing Code. These will change their workflows, and for a while, at least they will have to be reviewed by humans, or reviewed and testing them for and still unknown management programs, another level of complexity. AI AI may also make it easy to create new images, but they will need to be shared, secured and stored, tax systems and networking.

Part of the solution, when worried about safety and more, says Mr. Puph, is to focus on some human things that do not change. “We always manage the risk we take,” he says. “We try to understand our environment and our opponents. We keep people who are willing to prove the wrong ones, detecting our vulnerabilities. We have trusted allies.”

It is a difficult future, but in balance, it is healthy. We come to new technologies that make things more complex for a while, but then they are simplified, which allows us to do even more complex things. Leaders must admit that complexity is not the enemy. It is the consequence of increasing the opportunity in our interconnected and complex world. Great leaders will make the complexity of an obstacle to a catalyst that continues to enrich and improve the quality of life.

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