For a lot of professionals, the term bot has been connected with badness. If you ask a computer security expert, whenever there is artificial intelligence that is involved, it usually commits malicious acts and harnesses a lot of innocent computers and devices to engage in dangerous and harmful deeds.
But because of the emergence of good bots, and to the chatbots that are initiated by big companies like Google, Facebook and Microsoft, there will be a significant change happening. But the rise of this great technology will mean a lot of traffic to be filtered, and there is a big chance that it will create a little confusion.
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The war between good and bad
According to the yearly traffic report, they examined more or less 15 billion visitors from 100,000 randomly selected websites and found out these important data points:
At least half of all the traffic to the sites reported is because of bots.
AI activities are on the rise after several years of decline, mainly because of good bot traffic.
Bad AI accounted for more or less 30% of all the traffic on the internet while good ones accounted for more or less 20%.
The downfall of RSS has helped prevent the rapid growth of good AI activity.
At least one-third of the website visitors was a malicious AI.
More or less, 90% of sites had experienced an attack.
Bad bots are programs that are usually designed to bypass all the security controls and take over a device or a site. Its sole purpose is to attack the victim and harnessing the power of multiple artificial intelligence on different hosts to steal the contents or handle the tasks that humans usually do like answer security challenges, buy tickets or search for products or services.
Bad AIs are coded from the roots to the tips to perform any unauthorized activities. If you have ever reviewed a public site visitor or any firewall logs, you already know that sites are surrounded by AI traffic, both good and bad. You can spot these things by their names, programmatic frequency or origin. Good artificial intelligence used to come over and over again, at predetermined times of the day.
They do not try to hide what they are supposed to do or what they are in general. Bad bots usually come from different and random origins that are trying to hide what they are intended to do. They typically try to do what they are designed to do repeatedly at different and random intervals. These things also contain harmful codes in their data fields.
Artificial Intelligence or Smart bots
Good ones are coded to perform on authorized activities, although a lot of sites they connect to may not need, want or know about it. Good ones may include the following types:
Network, site or feature health monitoring artificial intelligence
AIs that copy the contents like Feed Fetcher
Bots used by searched engines
Commercial crawlers that are used by legitimate companies for marketing purposes
But the reports did not mention one of the fastest-growing good artificial technology calledsmartbots or artificial intelligence. Smart chatbots are coded to communicate with the users in a way that they will emulate how the humans interact. You have probably heard about this technology trying to copy humanlike responses to customer queries as well as directions on social media platforms or technical support hubs.
Early experiments or beta test usually did not appear to react to how humans do. But experts have seen the recent demonstrations where smart chatbots outperformed their human counterpart. They are showing up on the user’s favorite social media platforms to answer all the questions and help direct all the users to the critical and relevant information.
The technology is doing it a lot better than their human counterpart, and they are getting better and better as the days go by. Microsoft, one of the biggest company in the world, even designed their own bot framework that is starting to get famous and help other companies program their own artificial intelligence.
There is not an industry in today’s digital age that is not fighting both rising support quality problems and support costs, and artificial intelligence can help achieve their goals. Think about how people get frustrated when dealing with technical support and call center representatives.
Imagine if artificial intelligence could get people to the right person and the correct technical support expert a lot faster, without punching different buttons and languages that you have no problem understanding. Another reason why this technology is getting popular is that it can perform network tasks a lot faster than humans.
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Peer-to-peer and decentralized personal computer maintenance software have been gaining traction for many years. They will distribute themselves in two different computers at every site of multi-location companies, act as the controlling system for the website to deploy the patches, collect essential and necessary event logs or detect any unauthorized breaches.
The programs are evolving from a decentralized model into a bot model, where several controlling hosts’ changes depending on the network load and processing. Even if you do not like the idea of using artificial intelligence, they are here for the long run, along with social media and instant messaging. Hate them all you want, but they are not going anywhere.
Artificial intelligence is also expected to manage more cleaning chores that human network and personal computer managers could do otherwise. They function like conventional good bots, by detecting the health of the website and try to fix the issues if they find one.
That is an evolutionary change, and artificial intelligence coders have to ensure that they do not become bad ones accidentally. We have been here before. A technological battle that is on the horizon and will make everyone’s job a little bit complicated, but more accessible in the long run. That is how this industry works. If the task is easy, no one will pay a lot of money for it. Half the battle is preparing for the next change.
