Generative AI-Driven Security Frameworks for Web Engineering: Innovations and Challenges
The advent of Generative AI has triggered a paradigm shift across several domains, resulting in ground-breaking advances in text, picture, video, audio, and code production. However, this technical advancement has also increased cyber security intimidations, as hackers increasingly use Generative AI in their harmful actions. Generative artificial intelligence (Gen-AI) and Huge words models (HWMs) are transforming businesses throughout the world. However, their enormous promise carries major hazards. It is critical to address the cyber security concerns related with Gen-AI. This aids organizations in comprehending the security implications of these technologies. This chapter will provide a complete Gen-AI security architecture and show how it may help us protect Gen-AI apps, models, and the whole Gen-AI ecosystem. This research attempts to define the many security vulnerabilities posed by Generative AI, identifying their manifestations across different application areas.
| Year of publication: |
2024
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|---|---|
| Authors: | Rana, Rachna ; Bhambri, Pankaj |
| Published in: |
Generative AI for Web Engineering Models. - IGI Global Scientific Publishing, ISBN 9798369337042. - 2024, p. 285-296
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