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Securing Generative AI and Large Language Models (LLMs): A Comprehensive Approach

Year: 2024

Type: article

Abstract: Generative AI and Large Language Models (LLMs) are revolutionizing industries by enabling advanced natural language understanding and content creation.However, their adoption introduces significant security, privacy and compliance risks.This paper identifies key vulnerabilities, highlights the OWASP Top 10 risks specific to LLMs and presents a comprehensive security framework leveraging AI Security Posture Management (AISPM) and proactive scanning techniques.Recommendations for secure, ethical and compliant deployment of Generative AI are provided, ensuring resilience and trustworthiness in modern AI systems.

Source: Journal of Artificial Intelligence Machine Learning and Data Science

DOI: 10.51219/jaimld/kamalakar-reddy-ponaka/410

Author: Kamalakar Reddy Ponaka

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4406034221

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