The Dual Nature of AI: Understanding AI as Both Target and Threat - Seguridad Mania.com - España y América Latina

AI is redefining both innovation and attack surface. The rise of Agentic AI systems and autonomous AI bots has unleashed a new wave of threats — from intelligent scraping and adaptive fraud to Offensive AI models like FraudGPTand GhostGPT that automate reconnaissance and exploit generation. This session explores the complex duality of AI as both attacker and target, examining the OWASP Top 10 for LLM Applications and highlighting a commerce-sector case study. Join Ryan Gao who uncovers how threat actors are exploiting vulnerabilities such as prompt injection, data poisoning, and model denial-of-service — and how organizations can enhance visibility, safeguard AI-driven traffic, and implement stronger controls to protect their AI environments. Key Takeaways: - Uncover AI’s dual risk — attacker and target. - Understand the mechanics of Offensive and Agentic AI threats. - See how AI-based bots operate in a real commerce case study. - Explore the OWASP Top 10 for LLM vulnerabilities. - Gain practical strategies to strengthen AI resilience. Akamai is an approved ISC2 CPE Submitter Partner. Earn CPE Credits by watching our Webinar and providing us with your ISC2 Member ID number either in 'Question' or 'Rate this' section.