anomaly
Sophos AI at Black Hat USA ’25: Anomaly detection betrayed us, so we gave it a new job
Anomaly detection in cybersecurity has long promised the ability to identify threats by highlighting deviations from expected behavior. When it comes to identifying malicious commands, however, its practical application often results in high rates of false positives – making it expensive and inefficient. But with recent innovations in AI, is there a new angle that…
An anomaly detection framework anyone can use
Sarah Alnegheimish’s research interests reside at the intersection of machine learning and systems engineering. Her objective: to make machine learning systems more accessible, transparent, and trustworthy. Alnegheimish is a PhD student in Principal Research Scientist Kalyan Veeramachaneni’s Data-to-AI group in MIT’s Laboratory for Information and Decision Systems (LIDS). Here, she commits most of her energy…