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Harnessing the power of AI: Revolutionising Cybersecurity

Sinead Conboy
AI revolutionising cybersecurity

In today’s hyperconnected world, AI has revolutionized the way we work. But as more and more information and data flows seamlessly, cyberthreats are becoming ever-more sophisticated and traditional cybersecurity measures are no longer sufficient.

Cyberattacks are on the rise, and although on one hand, threats have become more sophisticated due to advancements in AI and Machine Learning (ML), AI has also become an indispensable tool in cybersecurity. This is due to its ability to analyse vast amounts of data, detect anomalies, and adapt to evolving threats in real-time.

AI revolutionising cybersecurity

Benefits of using AI in Cybersecurity:

Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have multiple applications in cybersecurity to make threat detection and prevention strategies more robust and effective. Some benefits of their use include:

Phishing detection and prevention

AI powered algorithms can detect email phishing by analysing vast amount of data to thwart phishing attacks. ML models can be trained to flag suspicious details of the mail such as the sender’s address, links and attachments and the language used in the message to determine if it is from a trustworthy source or not.

Password protection

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AI and ML can detect trends in compromised passwords to create rigid password policies and suggest stronger passwords that are harder for hackers to crack. AI-powered systems can also use behavioural biometrics to verify user identities, analysing typing patterns, mouse movements and other cues to detect potential imposters.

Network security

By analysing data and patterns, Artificial Intelligence algorithms can learn normal network behaviour and flag any changes that may signal sinister activity. AI can also be used in identifying and moderating Distributed Denial of Service (DDoS) attacks by analysing traffic pattern and blocking untrustworthy IP addresses.

Vulnerability Management

With more than 20,000 known vulnerabilities, AI and Machine Learning can be vital tools for detecting anomalies in user accounts, endpoint and servers that can signal a zero-day unknown attack, which can protect companies from vulnerabilities before they have even been reported or patched.

Final Thoughts

While AI has a welcome place in technology, its development should be kept under an ethical watchful eye because as cybersecurity professionals use it to strengthen their defences, cybercriminals also have access to the same technology to create more sophisticated attacks.

However, it cannot be denied that by implementing AI in your cybersecurity strategy, you can significantly improve your defence against and detection of potential threats.

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*The images in this post were created using AI.
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