AI in Cyber Security?
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AI - The ability of a machine to carry out outstanding tasks in a short span of time, which initially was trained by humans to do tasks such as learning, problem-solving, decision-making, perception, and natural language understanding.
This AI has been advanced to such an extent that it can now be integrated with cyber security. When it comes to cyber security AI can swiftly identify and block websites that contain harmful content, such as malware, phishing schemes, and unsuitable material.
According to a report by Juniper Research, AI for fraud detection and prevention can save business of around $11 billion annually by the end of 2023.
First let’s see the advantages of having AI for cyber security
AI can help analyse huge amounts of information and identify patterns or anomalies much faster and with greater accuracy than humans.
AI detects and responds to security threats in real time, which speeds up the process to identify and remediate security incidents.
The algorithms can start understanding from previous incidents and adapt to new threats as they emerge.
AI can automate many of the repetitive and time-consuming tasks associated with cybersecurity, such as threat monitoring and incident response.
AI can be used to measure cybersecurity operations in order to meet the growing demand for security services.
Its algorithms can detect vulnerabilities and potential security threats before they are exploited.
Disadvantages of AI in Cyber Security
The lack of transparency in the decision-making process of AI systems can make it difficult to identify and resolve issues, and cannot ensure ethical practices.
There are chances that AI systems can have an attack on themselves, as hackers can exploit vulnerabilities in AI algorithms to evade detection or carry out malicious activities.
Another issue is that AI systems may exhibit bias and discrimination if they are trained on biased data, leading to unfair treatment of certain groups and vulnerability to specific types of cyberattacks.
Relying on automation can lead to complications and a lack of human oversight, which can create new vulnerabilities and increase the risk of cyberattacks.
Implementation of AI systems can be costly, particularly for smaller organizations or those with limited resources, due to the significant ongoing maintenance and updating costs.
AI in Cyber Security Business
We can also integrate AI in cybersecurity businesses which has a great potential in the coming days, but it is a complex and challenging process for integration.
But how to integrate AI and cybersecurity for a business infrastructure without being exposed to hackers?
Have clear objective on what you want to AI to do,
It is critical to define your goals and objectives. This will help you to focus on what your business needs and how you can aligned it as per your requirements.
There are limitations and you need to know them,
While AI can be a useful tool in cybersecurity, it is not a solution for all. It is crucial to understand AI's limitations and the potential risks associated with its use, such as bias and false positives.
Key to success is knowledge, the same way you train your AI,
A skilled workforce is always what you need for a workplace, in the same way the AI has to be trained to understand how to work for your cybersecurity team.
Testing and acknowledge the results,
Before the final implementation of your AI, test it in a production environment, it is always critical to thoroughly test and validate it in a controlled environment. This will assist in identifying any issues or weaknesses and ensuring that your AI solution is functioning as intended.
Here are some of the applications that can be used to protect yourself from any attacks or you can get alerts if you are being attacked.
IBM QRadar
Cynet
Darktrace
FireEye
AI has the capability to greatly improve the security of organizations, but it also presents challenges, including the possibility of misuse by cybercriminals. The huge amount of data that supports AI driven security systems in effectively preventing attacks can be utilized by cybercriminals to train their own AI systems to bypass them. AI in cybersecurity has the potential to be both advantageous and disadvantageous, making it a dual-purpose tool.
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Rakshith Pranav
Cyber Security Professional
M: +91 9380575660