Treffer: Linguistic analysis of cyber threats: A philological approach to AI-driven threat detection.

Organisations today confront a variety of cybersecurity risks that, if not sufficiently addressed, can have very serious consequences. Common cybersecurity threats include ransomware, phishing emails, poor password hygiene, accidental sharing, improper data handling, fraud, and denial of service. The increasing reliance on personal computers, businesses, and online entertainment has led to a significant increase in global network security risks. Unintentional public release of classified material can occur as a result of human error or careless handling of sensitive information. Weary online security teams may find it difficult to keep up with the rapidly evolving threat landscape, making associations more vulnerable to attacks. In today's market, artificial intelligence is a game-changing technology that is generating attention. With so many benefits to offer, artificial intelligence (AI) is becoming widely used in the industry. Nevertheless, hackers are also leveraging AI's capabilities to launch cyberattacks more successfully. This implies that risks and security capabilities will continue to prioritise Artificial Intelligence. Attacks made possible by AI are already a menace that businesses cannot address. Furthermore, these security flaws will only get worse as AI technology develops and AI knowledge becomes more widely accessible. Strong cybersecurity becomes necessary, particularly when utilising AI. This essay will examine in detail the potential advantages and disadvantages of AI for cybersecurity. [ABSTRACT FROM AUTHOR]