Artificial Intelligence and Cybersecurity: Documented Risks, Enterprise Guardrails, and Emerging Threats in 2024–2025

Author(s)	Mr. Ali Azghar Hussain Syed Abbas
Country	India
Abstract	The proliferation of generative artificial intelligence (GenAI) and large language models (LLMs) has introduced novel opportunities and significant hazards in cybersecurity. Recent documented incidents—including zero-click prompt-injection vulnerabilities in enterprise AI assistants and increased effectiveness of AI-generated phishing—demonstrate that organizations must reassess their security posture. This paper surveys verified risks, empirical studies, and real-world vulnerabilities from 2023–2025, focusing on AI-enabled phishing, prompt injection, and zero-click exfiltration attacks such as EchoLeak (CVE-2025-32711). Building on established guidance such as the NIST AI Risk Management Framework (AI RMF 1.0) and Microsoft’s Secure AI Framework (SAIF), we propose practical guardrails, an AI-aware defense strategy, and an organization-wide governance prompt pattern to reduce risk when deploying AI systems at scale
Keywords	Generative AI Security, LLM Risks, AI-Driven Phishing, Zero-Click Prompt Injection, EchoLeak, Secure AI Framework, NIST AI RMF, RAG Security, Governance Prompt Injection, Enterprise AI Guardrails
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 7, Issue 4, July-August 2025
Published On	2025-08-06
DOI	https://doi.org/10.36948/ijfmr.2025.v07i04.62200

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