Cybersecurity is a global issue. The one who owns information owns the world. Based on this, data is constantly stolen or attempted to be stolen for various reasons. To prevent this, there are many cybersecurity professions.
Data security is of great importance in all areas of our lives. Cybersecurity specialists have a significant role that is comparable to automakers and auto mechanics who provide reliable and safe vehicles. Whether you decide to rent a Bentley in Dubai or buy your own car, the world famous manufacturer is renowned for its quality and safety. Thus, you can be calm and enjoy the trip when renting. It is also worth choosing a reliable rental company that has an official website and a large fleet that will allow you to hire any car you want.
Despite the fact that a huge number of people are engaged in the protection of information and data, global trends are developing, and artificial intelligence is entering the market.
The benefit of AI machine processing is that its current methods are capable of analysing millions of information sets. This makes it possible to track cyber threats and their varieties in large numbers.
AI is able to quickly and accurately scan and quickly analyse millions of data sets, and then track down a variety of cyber threats, from malware threats to shady behaviour that can lead to a phishing attack.
Technology is changing and improving all the time. Just as humans learn from their own experiences, AI collects and stores old data and uses it to identify new types of malicious attacks.
The load on cybersecurity systems is extremely high. And experts in this field spend a lot of time analysing logs and filtering data to identify potential threats. This process takes a lot of time and effort. It is AI systems that help to free human specialists. In this way, human resources can focus on more complex security issues that require human expertise.
Last but not least is the response time. When a cyber attack strikes, organisations need to respond quickly to mitigate damage. The importance and usability of AI for this purpose are faster response and automatic detection of threats. This can help organisations minimise the impact of cyberattacks and recover faster from them.
Despite the fact that AI makes it easier to work with data theft prevention, there are significant shortcomings and disadvantages to think
False Positives and False Negatives
One of the most significant issues with AI in cybersecurity is the problem of false positives and false negatives. False positives occur when AI algorithms flag legitimate activities as malicious, while false negatives happen when AI fails to detect actual threats. Both of these problems can lead to significant issues for cybersecurity professionals. False positives can result in wasted time and resources as security teams investigate harmless alerts. On the other hand, false negatives can be disastrous, as they allow cybercriminals to infiltrate systems undetected.
Limited Understanding of Context
AI algorithms operate based on data inputs and predetermined rules, and they lack a broader understanding of context. As a result, they may flag legitimate actions as malicious because they lack the context to understand that the activity is not an actual threat. For instance, if an employee attempts to access a server from an unusual location, the AI may flag it as a potential breach attempt.
Vulnerability to Adversarial Attacks
Adversarial attacks refer to a type of cyberattack that aims to deceive AI algorithms by manipulating input data. Hackers can insert malicious code into legitimate data sets to trick AI algorithms into classifying them as safe. Cybersecurity professionals must be aware of this vulnerability and take steps to prevent and detect adversarial attacks.
Dependence on Quality Data
AI algorithms require high-quality data to work effectively. If the data is incomplete, inaccurate, or biassed, the AI will not be able to make accurate predictions or detect potential threats. This limitation is especially significant in cybersecurity, as cybercriminals are constantly evolving their tactics to avoid detection.
Human control shortage
While AI is capable of detecting and responding to threats in real-time, it lacks the decision-making capabilities of humans. AI can only act within the parameters set by its programming, and it cannot make judgement calls outside of those parameters. Additionally, AI lacks the ability to understand the broader implications of a decision. As a result, AI should never replace human oversight entirely. Cybersecurity professionals must remain involved in the decision-making process to ensure that AI is functioning correctly and making the right decisions.
Cost and Resource Constraints
Finally, implementing AI in cybersecurity can be expensive and resource-intensive. AI algorithms require significant computational power, and the cost of hardware and software can be high. Additionally, organisations must invest in training cybersecurity professionals to work with AI, which can be time-consuming and expensive.
In conclusion, cyber security is a trend of high importance. And it is crucial to protect your data from malefactors. AI is a nice assistant in this matter, that can really help and make protection more effective. But along with the benefits, there are some disadvantages. That is the reason to be careful with new technology.
