AI/ML Security Audit Training for Indian Banks
3 Days | Practical Audit Exercises | AI Security & Compliance
Who is this for?
Banking professionals involved in AI/ML security, audit, risk, compliance, information security, and technology management.
What you’ll learn:
Understand AI/ML technologies and their applications in Indian banking, including fraud detection, credit scoring, and KYC automation. Learn the AI/ML lifecycle and key security threats including model poisoning, adversarial inputs, and data leakage.
The programme covers RBI guidelines on IT and cybersecurity, SEBI advisories, CERT-In directives, the DPDP Act, GDPR, and ISO/IEC 42001, along with access control, data security, privacy, third-party risk, and secure MLOps.
Participants also learn AI/ML audit planning and scoping, audit tools and frameworks, reporting and remediation, continuous monitoring, and practical auditing through banking case studies involving fraud detection, credit scoring, and KYC automation.
Walk out with skills in:
AI/ML Security Auditing · Banking AI/ML Risk · RBI Cybersecurity Requirements · SEBI Advisories · CERT-In Directives · DPDP Act · GDPR · ISO/IEC 42001 · Access Control · Data Security · AI Privacy · Third-Party Risk · Secure MLOps · AI/ML Audit Planning · Audit Reporting · Remediation · Continuous Monitoring