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Impact of Artificial Intelligence AI in Cybersecurity

AI and Cybersecurity
AI in Cybersecurity

Artificial Intelligence AI in Cybersecurity:

AI in Cybersecurity: As Cyberattacks grow in both complexity and volume, traditional methods of identifying threats and malware are failing. Cybercriminals are constantly coming up with faster and faster ways to control and ignore firewalls and compromise highly secure networks. The only way to stop these attacks is to be more prepared than hackers.

Artificial Intelligence can help less manageable security systems to avoid risks. The use of artificial intelligence can help expand existing cybersecurity solutions and pave the way for the development of new, stronger individuals.

How AI improves Cybersecurity:

Threat Hunting:

Traditional security techniques use signatures or compromise signals to identify threats. This technique may work well for the risks already posed, but they’re not effective for the risks that have not yet been discovered.

Vulnerability Management:

Organizations are struggling to prioritize and manage the large number of new vulnerabilities they face on a daily basis. Traditional vulnerability management methods wait for hackers to take advantage of high-risk threats before they can be neutralized.

Data Centers:

AI can optimize and monitor many important data center processes, such as backup power, cooling filters, power consumption, internal temperature, and bandwidth usage. The power of mathematics and the constant monitoring capabilities of AI provides insight into what values will improve the effectiveness and security of hardware and infrastructure.

Network Security:

Traditional Network Security has two dimensions, which formulate security policies and understand the network topography of an organization.

Drawbacks of Using Artificial Intelligence in Cybersecurity:

With its advantages, the use of Artificial Intelligence in the field of cybersecurity seems to be the best solution. However, like everything else, AI has its limitations, which prevent it from becoming a mainstream tool in the fight against cybercrime.


With all the power it has, building and maintaining an AI system is a costly affair. Artificial Intelligence requires a lot of computing power, raw memory, data, and more.

Unethical Use:

AI is not limited to white hat researchers and security solution providers. Even hackers and other cybercriminals can use it for immoral purposes. Using AI, cybercriminals can train their malware to become AI resistant.

Data Sets:

To train an AI-based system, organizations need to create a large number of datasets. This is through the dataset; The AI system builds itself and creates patterns for behavior analysis. The more data, the more efficient the AI engine.

False Detections:

Developers are still working to improve AI-Based security programs. AI programs need a lot of time to learn about threats and how to deal with them.


This is the technical problem of AI. With the introduction of AI, the need for human involvement is minimal. This will reduce the employment of thousands of IT workers and thus increase the problem of unemployment.

The Positive Uses of AI for Cybersecurity:

Biometric logs are increasingly use to create secure logs by scanning fingerprints, retinas, or palm marks. It can be used alone or in combination with a password and is already being used in most new smartphones. Large companies have been plagued by security breaches that have compromised email addresses, personal information, and passwords.


Artificial Intelligence and Machine Learning can improve security, while simultaneously making it easier for cybercriminals to break into systems without interference. This can cause significant damage to any company. If you want to reduce losses and stay in business, it is highly recommended to get some kind of protection against cybercriminals.

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