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Cybersecurity

Cybersecurity covers a set of safety events designed to protect confidential information stored on our computers.

Measures as simple as telling Windows to request a password before entering our cybersecurity events. But, for example, if our PINs were in a conspicuous home where anyone who enters the office can write them down and arrive from home, it would be a massive security breach that we cannot allow.

online cybersecurity degrees must always be base on prevention; you have to be suspicious and put yourself in the worst possible situation.

Not because the neighbor will necessarily do us industrial espionage, but to avoid the mere possibility of it happening.

Let’s see some essential cybersecurity tips that you could put into operation in your business right now.

Five tips to improve cybersecurity

Many companies think that nobody will ever happen to them. However, cybersecurity and by extension, cyberinsurance, are necessary for everyone

The truth is that cybercriminals are not careful about opening security holes in a company’s computer system.

In this post, we’d like to give you some tips on how you can be more careful about protecting your computers.

1. Never give intimate information online

One of the dangers you may face is contacting a suspected company via email or phone to request confidential information.

In all cases, it is easy to verify that they are not who they say they are. For example, the email sender never comes from a genuine company email (bank, Compañía de la Luz, Google, etc.). However, it has a similar domain or with some variations.

2. Do not install any programs unless you know the manufacturer

Another source of viruses is the software we download from the Internet because we think it is harmless. You may think you are downloading an antivirus program, but what you are downloading is dangerous malware disguised as an antivirus program.

You can’t take any chances online. Never download anything from an unknown manufacturer on the Internet. Over time, you will learn to bypass download websites and always rely on downloading programs from the manufacturer’s official website or purchasing paid software.

3. Avoid connecting to unauthorized networks

Innocently, you can connect to an open wifi computer network where more people are working through your mobile phone. Wifi networks are a hazard to your privacy. Suppose you click with your business laptop or your smartphone to open wifi networks. In that case, you run the risk that someone can monitor your Internet activity, copy your passwords, get information about you, etc.

4. Create hard-to-guess passwords

One of the methods crackers use to think passwords are “brute force.” It consists of testing passwords until they find the right one. If the password turns out to be easy to guess (it’s the same username, for example), they’ll jump in wherever they want before you know it.

The crackers’ life doesn’t end by entering passwords to see if they work. They have automated programs that try passwords. We need to protect our servers to prevent these attacks and create passwords that are difficult to guess.

5. Use antivirus and a firewall

Are you connecting to the Internet with your company’s Windows computer and no antivirus installed? How brave. The truth is, you are taking a significant risk, and you should take action about it. It is essential to have the necessary security systems to prevent viruses from getting rid of them.

On the other hand, the firewall is an additional vital part of keeping your computer secure. It allows you to stop external attacks from other computers from which someone is trying to connect to your computer.

Is your company harmless?

The most dangerous thing around cybersecurity is that you could be on right now without even realizing it. You may have installed unauthorized programs on your computer that slows down your computer or perform illegal doings from your computer. You could be part of an automaton network without even realizing it.

It is severe enough that if you’ve never stopped to think about cybersecurity, start doing it now. Ask yourself if you have a security company with the security system that you have right now on your business computers.

Cybersecurity plan

Any company cannot implement cybersecurity protocols without doing their due diligence. Different companies have different needs, all of which serve to strengthen your company’s data protection. So check your current setup and check for any possible security holes.

Cybercriminals can potentially exploit these vulnerabilities if they remain vulnerable for too long. No matter how small the problem seems, the longer it is left unattended, the longer it can put your business at risk. Talk to the correct representatives or professionals to learn how you can increase your security.

IT support

Speaking of the right advice: For maximum efficiency, your company should already have an IT department. Your IT team can diagnose any related issues relevant to your current cybersecurity setup. For example, if your traditional firewall is missing, IT pros may suggest new protective measures.

If your company doesn’t have an IT department, contact a third-party IT support. Outsourcing your IT needs is vital, especially if you don’t have the proper inspection expertise

cybersecurity. IT support will develop a plan for your company, which you can modify as your business grows.

Artificial Intelligence – Through mathematics and logic, a computer system simulates the reasoning that people follow to learn from new info and make decisions.

A computer system with artificial intelligence makes predictions or takes actions based on patterns in the available data and can learn from its mistakes to be more precise. Advanced artificial intelligence processes new information extremely quickly and accurately, making it useful for complex scenarios such as driverless cars, image recognition programs, and virtual assistants.

How did artificial intelligence come about?

At least since the 1st century BC, People are already fascinated by the possibility of building machines that mimic the human brain. In the modern age, the term “artificial intelligence” was coined in 1955 by John McCarthy. Together with other computer scientists, McCarthy organized a conference in 1956 under the title “Dartmouth Summer Research Project on Artificial Intelligence.”

Machine learning, deep learning, predictive analysis, and, more recently, prescriptive analysis emerged from these beginnings. In the meantime, a completely new branch of science has developed from this: data science.

Why is artificial intelligence important?

Today by far exceeds the ability of humans to absorb and interpret this data and to make complex decisions based on it. Artificial intelligence forms the basis for learning computers and represents the future for all complex decision-making processes.

Here is an example: Most people can work out how they do not lose in “win three” (circle and cross). Even if there are 255,168 different moves, there are 46,080 of which ended in a tie. In the case of “Queen,” the number of master players is already much lower – considering the 500 x 1018 or 500 quintillion different possible moves.

Computers are able to calculate such extensive combinations and permutations extremely efficiently, to arrive at the best decision. In the future, this high computing power should also be transferred to business decisions. In addition to AI (and machine learning as a logical further development), deep learning also plays a fundamental role.

General Artificial Intelligence (general AI)

General artificial intelligence, occasionally referred to as “strong artificial intelligence” or “human-level artificial intelligence,” refers to the ability of a computer system to outdo people in any intellectual task. It’s the kind of artificial intelligence seen in movies where robots have conscious thoughts and act on their motives.

In theory, a computer system with general artificial intelligence could solve highly complex problems, make judgments in uncertain situations, and incorporate previous knowledge into its current reasoning. It could have creativity and imagination on a par with people and perform far more tasks than narrow artificial intelligence.

Artificial superintelligence (ASI)

A computer system with artificial superintelligence could outperform people in almost every field, including general knowledge, scientific creativity, and social skills.

Types of Artificial Intelligence

Narrow Artificial Intelligence (narrow AI)

Narrow artificial intelligence sometimes referred to as “weak AI,” refers to the ability of a computer system to perform a precisely defined task better than a person.

AI is the highest level of development that humanity has reached so far. All examples of seen in the natural world fall into this category, including autonomous vehicles and personal digital assistants.

Although it appears that is thinking for itself in real-time, it is coordinating several narrow processes and making decisions within a predetermined framework. The “thought” of does not imply consciousness or emotion.

1. Purely reactive AI

There is the most basic form of Kl. The system recognizes its environment/situation directly and acts based on what it recognizes. It has no idea of ​​the outside world. It cannot create memories or use past experiences to influence current decisions. only specializes in one area.

Examples are IBM’s Deep Blue, which Kasparov defeated in chess, or Google’s AlphaGo, which triumphed over the human winner in the game of Go.

2. Systems with limited memory

A little further up the evolutionary ladder of are systems with limited memories. They take pieces of past information into account and add them to their preprogrammed representations of the world. You have just enough memory or experience to make correct decisions and take appropriate actions.

Examples are self-driving vehicles, chatbots, and personal digital assistants.

3. Systems with their consciousness

Theory of Mind means developing your awareness. It includes recognizing yourself and others and developing an understanding that others can be wrong and therefore act wrong.

Moreover, such systems can understand thoughts and emotions that influence human behavior. It includes an understanding of feelings, motives, intentions, expectations, and the ability to interact socially on this basis. There are still no systems that can do this. But they are probably the next level of intelligent machines.

Examples from science fiction are C-3P0 and R2-D2 from the Star Wars films and Sonny from the movie “I Robot.”

4. Systems that are “self-aware.”

However, these forms of Kl can form ideas about themselves. It represent an extension of the systems with their consciousness. They are aware of their inner states, can predict feelings, and create abstractions and draw conclusions. And also, they are the future generation of machineries: super-intelligent, sensitive, and conscious.

Examples are Eva in the film “Ex Machina” and synths from the TV series “Menschen.”