The fences are stronger, the dogs are meaner
Posted: Thu Feb 06, 2025 4:58 am
The growth in the number of cyber attacks from year to year is obvious. Criminals encroach on both large companies and government agencies, as well as private users. It is naive to think that this problem may not concern someone. Today, even a hundred-year-old grandmother who has never touched a computer keyboard can be faced with a cyber threat. You can’t speak for the whole world, understanding that somewhere on the other side of the Earth, people still wear a rhinoceros bone through their nose. However, as for modern Russia, most of its residents have a so-called digital footprint: personal data that has ended up on the Internet. Having obtained it, fraudsters carry out a lot of illegal manipulations - as a rule, they fraudulently obtain information and money. Cybercriminals can attack anyone. And it is clear that if we are talking about large corporations, funds, government agencies, etc., the consequences can be truly catastrophic.
If you can fence your house, put a lock on the door, and put a dog in the yard, you have to protect your information space in much the same way, but with an adjustment for the Internet reality. Cybersecurity techniques and principles evolve with the growth of threats and their distribution. Roughly speaking, fences denmark mobile database stronger, locks more reliable, and dogs are better trained. And it is AI that allows us to improve this protection. By analyzing network traffic, detecting anomalies, and identifying threats with its help and by implementing machine learning (ML), we can create adaptive systems that can identify both potential risks and attacks that are already underway.
Here are some examples of such possibilities.
Where artificial intelligence can help us is in protecting against DDoS attacks (distributed denial of service attacks). AI, by analyzing data, improves the methods of detecting such threats, which gives it the ability to mitigate a DDoS attack. Machine learning algorithms can help identify abnormal traffic and separate it from legitimate traffic. I can say that we are already using this technology in our company. As well as another area - the fight against bots and automated attacks. In this case, AI monitors activity on websites and in applications, analyzes the behavior of their participants and thus identifies suspicious actions and blocks them.
If you can fence your house, put a lock on the door, and put a dog in the yard, you have to protect your information space in much the same way, but with an adjustment for the Internet reality. Cybersecurity techniques and principles evolve with the growth of threats and their distribution. Roughly speaking, fences denmark mobile database stronger, locks more reliable, and dogs are better trained. And it is AI that allows us to improve this protection. By analyzing network traffic, detecting anomalies, and identifying threats with its help and by implementing machine learning (ML), we can create adaptive systems that can identify both potential risks and attacks that are already underway.
Here are some examples of such possibilities.
Where artificial intelligence can help us is in protecting against DDoS attacks (distributed denial of service attacks). AI, by analyzing data, improves the methods of detecting such threats, which gives it the ability to mitigate a DDoS attack. Machine learning algorithms can help identify abnormal traffic and separate it from legitimate traffic. I can say that we are already using this technology in our company. As well as another area - the fight against bots and automated attacks. In this case, AI monitors activity on websites and in applications, analyzes the behavior of their participants and thus identifies suspicious actions and blocks them.