Cybercriminals leverage generative artificial intelligence to craft sophisticated phishing emails eliminating traditional detection signals like spelling errors, while machine learning models enable credential stuffing and evasion tactics that adapt faster than manual defenses respond. Organizations collect millions of logs from firewalls, EDRs and threat intelligence feeds but lack capability to correlate patterns across voluminous data sources before attacks succeed. Traditional signature-based tooling misses zero-day exploits, business email compromises and behavioral anomalies requiring human analysts to process overwhelming alert volumes.

ML transforms reactive security into predictive defense by continuously learning from threat data and forecasting attack vectors before incidents occur.

In this session, Unity Bank CISO Zechariah Akinpelu will share insights on:

• User Entity Behavior Analytics applying ML to identify anomalies human analysts miss;
• SOAR platforms leveraging AI to automate log correlation, alert triage and containment;
• Generative AI enabling red team simulations at scale.