Generative Artificial Intelligence for Next-Generation Security Paradigms

16Redefining Security: Significance of Generative AI and Difficulties of Conventional Encryption

R. Nandhini*, Gaurab Mudbhari and S. Prince Sahaya Brighty

Department of Computer Science and Engineering, Sri Ramakrishna Engineering College, Anna University, Tamil Nadu, India

Abstract

Even though the development in cybersecurity is going on, the traditional encryption systems still prevail which gives edge to the attackers. In this chapter, the safeguard of our data from the attacker is examined with the help of generative AI in a revolutionary way. Encryption, a technique to protect secrecy of our data by converting it into some cryptic or unreadable format has prevailed for many years. Everything we know has a drawback and encryption is not escaped from this. Due to the advancement in the decryption algorithm and brute force attacks the static encryption key can be compromised. The data velocity and complexity have increased immensely which led to headache in managing the encryption keys. Not only this, but encryption can also cause a blind spot which can interfere with different security measures like anomaly detection. Due to the rise of Gen AI, a unique approach to cybersecurity has been established that goes beyond passive data protection. Realistic data such as network traffic, configuration profiles, and user behavior patterns can be automatically generated by these AI models. This capability allows applications to access essential security features more effectively. ...