Lakehouse for Cybersecurity Applications

As the major email phishing and ransomware attacks continue to make global headlines, protecting users from this expanding spectrum of targeted attacks is fast becoming a top priority across industries. Abnormal Security’s behavior AI analyzes over 50,000 signals to detect and remediate all email attacks. Today, Abnormal Security is able to maintain a data-first culture, manage their data infrastructure with ease, process thousands of emails per second and deploy machine learning models that detect the smallest of anomalies that signal suspicious behavior, to protect their customers from email-based attacks.

To safeguard HSBC’s 40 million customers, extensive data collection and analysis are vital for detecting previously inconceivable threats. The seamless functioning of a vast organization like HSBC depends on tight security measures. By uniting data gathering, analytical tools and human intellect, a strengthened alliance between the data science and security operation departments is forged, resulting in improved defenses. However, managing years’ worth of petabytes-scale data is no small feat, especially when time is of the essence and adversaries are relentless. HSBC has broken away from traditional security norms by embracing Azure Databricks’ advanced big data processing techniques.