Nowadays, the number and intensity of cyber-attacks are increasing, so existing security systems cannot always cope with hacking attempts. Though artificial intelligence is revolutionizing cybersecurity, it’s important to note that behind every AI solution, there’s a company structure. If you’re planning to launch your own cybersecurity start-up using AI, exploring the best llc formation options can ensure you are legally protected and structured for success.In addition, there are not enough masters in artificial intelligence for a pen test, so companies are automating cybersecurity using artificial intelligence.
In general, it takes about 39 days for an organization to detect an attack and respond to it. The speed of response depends on how automated the cybersecurity system is. Therefore, using machine learning algorithms, companies are able to reduce the time required to detect an attack to one hour or several minutes.
In addition, algorithms are able to analyze large amounts of data, which would take a lot of time to work with manually. In addition, by introducing AI into cybersecurity systems, companies no longer need a large number of analysts. This allows them to reduce cash costs.
We offer to understand how artificial intelligence protects data, what are the modern threats, as well as what security systems and certified penetration testing have already been created.
The main problems of modern cybersecurity
As malware has been developing, it has gotten better at hiding itself. They can modify their own code, making it almost impossible to detect. However, AI cybersecurity options are able to detect such patterns in network traffic.
Still, we should remember that AI algorithms alone can do the things that they were trained to perform. Only machine learning gives the opportunity for the system adaption over time to respond to some new issues.
Ransomware Attack
Once on the victim’s computer, encryption viruses encrypt data of the most common formats – office files, media files, archives, that is, what is the most sensitive data for the user and his proper work. The mechanisms for delivering money are quickly blocked and everyone understands this, as well as the terrible results that follow.
IoT Attacks
Most new IoT platforms are cloud-based and have a central hub that acts as a service provider for smart devices. This architecture allows devices to receive data, but there are a number of problems in the process, primarily related to the centralized nature of such solutions.
This issue of security comes up every time when it comes to IoT. With so many connected devices, it can be challenging to protect information and usage patterns. In addition, the more devices connected, the more vulnerabilities and security risks appear for IT network security.
Cloud Attacks
The attacks on cloud services that store large and often confidential amounts of data are very widespread. This makes them an attractive target for hackers who are very resourceful in their search for new attack vectors against centralized services. The financial consequences of such attacks can also be very painful.
Phishing Attacks
Hackers used e-mails to attack people this way, but with the distribution of social networks and smartphones with access to the Internet, types of these attacks have also developed:
- There are e-mails that contain a link that takes the person to a fake website that is not safe at all and the main aim of which is to steal sensitive information.
- Thus, users without popper anti-virus protection or IT security consulting easily become victims of these attacks.
- Therefore, we should keep in mind that phishing is based on users‘ ignorance of the basic rules of network security. For example, many people ignore the simple fact that any reliable service will ask you for personal data including passwords, etc. Then, they easily become victims.
Cryptocurrency and Blockchain Attacks
The entire cryptocurrency market was resounded by the incident with the Harmony protocol and the attack on the Harmony Horizon blockchain bridge, which cost the victim of the robbery $100 million. Using the drawback, the attacker was able to withdraw the cryptocurrency, which was then converted into the ether (ETH) on the exchange.
Altogether, blockchain bridges are solutions that allow you to transfer cryptocurrencies from one blockchain to another since each blockchain is unique. The technology is relatively young, which explains its shortcomings.
By and large, it is hackers who show those shortcomings of bridges that lead to their further transformation. Of course, these solutions are quite convenient, but it is precisely for convenience that you have to pay with additional risks.
The impact of AI on cybersecurity
We already know what is artificial intelligence and we are aware that it can improve cybersecurity in several ways:
- Strategies for dealing with attacks. Special machine learning algorithms are able to automatically analyze successful hacker attacks. Based on the collected information, they generate a strategy to deal with future hacks.
- Prediction of possible attacks. When analyzing previous breaches, the algorithms can also predict potential attacks. The available data will help to determine the possible time of a breach, so the organization can prepare for a cyber-attack and organize data leak prevention at the initial stage.
- Fight against previously unknown attacks. Automatic cybersecurity systems are able to protect the database from previously unknown attacks, the so-called zero-day attacks. This is because the algorithms identify potentially malicious or dangerous activities on the system and detect any suspicious activity.
- Cyber risk analysis. The level of cyber risk in an organization depends on many factors. Among them is the presence of systems without unprotected ports. Phishing messages, password strength, and the amount of unencrypted data also play an important role.
By analyzing all of these factors, artificial intelligence can determine how threatened a system is at any given moment and help to protect it.
Large companies have already introduced AI into their work to increase the level of cybersecurity. The system used detects weaknesses in networks and reports them to experts. In this case, AI helps to cope with alert fatigue. The problem arises when the number of alarms is so high that experts become slower to respond to them.
Nowadays, artificial intelligence in cybersecurity helps to speed up the response to the appearance of viruses, predict serious information leaks and prevent attacks. All this minimizes possible damage to the organization and contributes to high-quality data protection.
