Advancing social network security with magteon-turing L3TM: A multi-layered defense system against cyber threats

Magteon-Turing L3TM is a highly secure and scalable framework specifically designed for real-time social network protection. It integrates advanced large language models (LLMs), including Megatron-Turing NLG, Swarm OpenAI, Langchain, advance Bagging and Ensembling techniques to strengthen threat detection and mitigation capabilities. While previous studies in social network security have largely focused on detecting isolated attack types using dedicated models, such approaches fall short in dynamic environments where networks face multiple, evolving threats. In contrast, the proposed Magteon-Turing L3TM framework is built to detect and defend against a wide spectrum of attacks, eliminating the need for narrowly specialized solutions. This research introduces a novel methodology by integrating Megatron-Turing NLG with multiple learning models, each statistically, probabilistically, and experimentally validated using real-time data from Facebook and Twitter. During evaluation, the framework achieved an accuracy of 98.5 % on Facebook and 98.7 % on Twitter, confirming its reliability and adaptability in real-world conditions. Unlike traditional systems that require retraining for every new threat, Magteon-Turing L3TM can be fine-tuned in response to emerging attacks by dynamically adjusting to specific community and agent-based threat profiles. This makes it the first framework of its kind to unify high-performance LLMs and adaptive learning in a cohesive, real-time security system capable of countering diverse social network vulnerabilities.