In order to truly unlock the potential of boosting cybersecurity with anomaly detection, it’s important to put AI and ML algorithms at the heart of the system. Whether it’s used for analyzing unusual posts, evaluating the trustworthiness of social media accounts or dissecting specific types of anomalies, AI has boundless capabilities when combined with human expertise.https://www.forbes.com/sites/forbestechcouncil/2023/10/18/ai-driven-anomaly-detection-on-social-media-5-things-to-consider/Share this:FacebookXLike this:Like Loading... Post navigation What Did You Learn To Hate? A Topic-Oriented Analysis of Generalization in Hate Speech Detection (ACL Anthology) Probing LLMs for hate speech detection: strengths and vulnerabilities (arXiv)