{"id":85660,"date":"2025-11-22T08:57:00","date_gmt":"2025-11-22T08:57:00","guid":{"rendered":"https:\/\/www.eccouncil.org\/cybersecurity-exchange\/?p=85660"},"modified":"2026-07-20T09:00:53","modified_gmt":"2026-07-20T09:00:53","slug":"prompt-injection-understanding-ai-security-vulnerabilities","status":"publish","type":"post","link":"https:\/\/www.eccouncil.org\/cybersecurity-exchange\/cyber-talks\/prompt-injection-understanding-ai-security-vulnerabilities\/","title":{"rendered":"Prompt Injection: Understanding AI Security Vulnerabilities"},"content":{"rendered":"\t\t
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Date<\/strong>: August 13, 2026<\/div>\n
Time<\/strong>: 8:30 AM CDT | 9:30 AM EDT | 7:00 PM IST T<\/div>\n
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Topic: <\/strong> Prompt Injection: Understanding AI Security Vulnerabilities <\/p>\n

Register Now<\/a><\/p>\n

Abstract: <\/strong> Large Language Models (LLMs) are rapidly transforming business operations, software development, customer engagement, and cybersecurity workflows. However, as organizations increasingly integrate AI-powered applications into their environments, new attack surfaces and security risks are emerging. Threat actors are actively exploring ways to manipulate, exploit, and compromise LLM-based systems through techniques such as prompt injection, data poisoning, model manipulation, sensitive data extraction, and supply chain attacks.<\/p>\n

The current webinar examines the evolving security landscape surrounding LLMs and generative AI applications. The session explores common attack vectors, real-world threat scenarios, and emerging security frameworks designed to secure AI deployments. Join us to gain insights into how AI systems are attacked, the vulnerabilities that exist across the AI lifecycle, and the potential business impact of successful exploitation.<\/p>\n

Key Takeaways: <\/strong><\/p>\n