Shifting Left: The Cyber Fraud Fusion

In this episode, Shrivu Shankar, VP of AI at Abnormal AI, discusses the evolving landscape of cybersecurity and fraud detection. We explore how AI is transforming defence strategies, behavioural detection, and the importance of explainability in AI systems. Key Topics • Shift left in cybersecurity and AI • Behavioural detection and anomaly analysis • AI's role in fraud prevention • Challenges of AI explainability in security • Balancing speed and safety in AI-driven defence • The arms race between attackers and defenders • Future trends in AI and cybersecurity Chapters 00:00 Introduction to the episode and guest 00:21 Who is Shrivu Shankar and what is the focus of the discussion 00:34 Understanding shift left in cybersecurity and AI 01:01 Applying shift left to security architecture and automation 01:46 Why fraud is a critical use case for AI in security 02:14 The increasing complexity of AI-generated attacks 02:48 Can defenders keep pace with AI-powered fraudsters? 03:16 The adversarial nature of security and AI arms race 04:15 Behavioral detection as a shift in fraud and cybersecurity 05:46 Using behavioral baselines to detect anomalies 07:23 The importance of context and human insight in AI detection 09:25 Balancing speed and security with AI and human collaboration 11:05 Detecting AI-generated content and behaviour-based detection 13:40 The challenge of AI explainability and trust in security 15:54 Combining human and AI efforts for effective defence 17:42 The future of AI in cybersecurity and fraud prevention 20:16 The importance of explainability and trust in AI systems 22:33 The evolving relationship between cybersecurity and fraud 25:35 Future trends: AI defending AI and humans 27:28 Lessons learned and advice for working in cybersecurity 28:27 Upcoming events and how to connect with Shrivu #cybersecurity #ai #machinelearning #frauddetection #securityautomation