Solving the Ethical Dilemma: Cybersecurity and The Age of Generative AI

Cybersecurity is one of the most critical challenges today. With businesses becoming more reliant on technology, there is a growing number of cyber threats. At the same time, generative AI is emerging as a game-changer in cybersecurity, offering cutting-edge solutions to protect data and systems. However, this technology has its own set of challenges and risks, which require careful consideration and mitigation. Generative AI and its use cases, governance, and regulatory challenges are being actively discussed. However, one of the primary concerns is data privacy and cybersecurity. With over zettabytes of data available on the internet and a lack of comprehensive legislation in place to regulate its use, there are growing cases of data risks, including personal data privacy violations, rights infringement, algorithm biases, and more. Understanding the Potential Challenges and Risks of Generative AI Today, generative AI is reshaping the cybersecurity landscape by providing innovative solutions to safeguard digital assets and infrastructure. And as we navigate through this digital age, generative AI is likely to play a critical role in ensuring our cybersecurity.