How AI Strengthens Cybersecurity

• Faster threat detection and anomaly detection
• Fraud prevention and insider threat monitoring
• Real-time predictive defense with AI/ML
• AI-driven automation for faster incident response
• Use cases: threat hunting, zero-day detection, adaptive access controls

Protecting AI Systems Themselves

• Secure training data, vector/RAG databases, and model outputs
• Data privacy, integrity, and governance
• Compliance with DPDP Act, RBI, SEBI, IRDAI, CERT-IN etc.
• Mitigate adversarial attacks, prompt injection, model theft
• Controls: encryption, monitoring, access controls, explainability, bias detection

Key Takeaways

• AI is both a powerful ally in cyber defense and a new attack surface
• Dual strategy is needed: leverage AI for protection while securing AI itself
• Build trust with secure, compliant, and explainable AI