Why Aren’t LLMs Secure with Patching Alone? with Akhilesh Gundaboina

Why Aren’t LLMs Secure with Patching Alone? | LLM Vulnerabilities & Risk Mitigation with Akhilesh Gundaboina Why isn't patching alone enough to secure large language models? In this Laureate Circle expert session, Akhilesh Gundaboina, Data Engineer at Meta Platforms, explores LLM Vulnerabilities & Risk Mitigation and discusses the security considerations surrounding large language models. The session focuses on the question of why traditional patching approaches may not be sufficient for securing LLMs and what other approaches can be considered when addressing LLM-related risks. Session: LLM Vulnerabilities & Risk Mitigation Speaker: Akhilesh Gundaboina Role: Data Engineer, Meta Platforms Event: Cyber Frontier 2026 Date: July 30, 2026 This individual speaker session is part of Laureate Circle's professional events and knowledge platform, bringing together industry experts, thought leaders, professionals, and innovators to exchange knowledge and explore ideas shaping the future. Laureate Circle — bringing people, ideas, and industries together to shape what comes next. Connect with Laureate Circle Email: events@laureatecircle.com Website: Laureate Circle LinkedIn: Laureate Circle on LinkedIn Watch the full session and subscribe to Laureate Circle for more expert conversations, professional events, and technology insights. #llm #llmsecurity #ai #artificialintelligence #cybersecurity #aisecurity #LLMVulnerabilities #riskmitigation #generativeai #machinelearning #datasecurity #aithreats #technology #techexperts #industryinsights #LaureateCircle #CyberFrontier2026 #innovation