GRC301 | Automation in action: Strategies for risk mitigation
Level 300 — Advanced
Financial firms can learn automation strategies to continuously assess and mitigate risks at scale across their cloud environments.
Striking the right balance between risk mitigation and innovation is paramount for financial institutions looking to thrive in a digital economy.
Level 300 — Advanced
Financial firms can learn automation strategies to continuously assess and mitigate risks at scale across their cloud environments.
Level 300 — Advanced
This session’s insights on unified secrets management and chaos engineering is valuable for financial institutions building reliable applications.
Level 300 — Advanced
For protecting financial data, learn about the ransomware lifecycle and detection and response approaches covered in this chalk talk.
Level 300 — Advanced
Stay current on the AWS threat detection and response capabilities highlighted in this session, which are relevant for securing financial workloads.
Level 300 — Advanced
This chalk talk is useful for financial firms needing to securely set up multi-account environments to manage applications and data.
With financial services being a critically customer-centric industry, securing access and customer-facing applications is a top priority to ensure trust.
Level 300 — Advanced
Enhance authentication security for customer-facing financial applications using the techniques covered in this session.
Level 300 — Advanced
Regulate customer data access through the modern auditing and authorization patterns discussed in this session.
Level 300 — Advanced
See an approach to securing keys, certificates, and secrets across workloads, which is applicable to financial customer data.
Level 300 — Advanced
Protect internet-facing financial web applications and APIs using the AWS perimeter security services highlighted in this session.
Level 300 — Advanced
Understand a runtime security approach for multi-tenant platforms like those used in financial services.
AI/ML capabilities can be transformative for financial services, but adopting them responsibly with security in mind is critical.
Level 300 — Advanced
Explore secure MLOps strategies covered in this session, which are relevant for AI/ML use cases in financial services.
Level 300 — Advanced
Learn how to efficiently achieve compliance for generative AI financial applications through auditing AWS services.
Level 300 — Advanced
Build secure, compliant financial applications on Amazon EKS following the DevSecOps best practices covered in this builders’ session.
Level 300 — Advanced
Implement data protection controls for generative AI financial applications using the AWS security services discussed in this code talk.
Level 300 — Advanced
See an approach to building secure generative AI chatbots for uses like financial customer service.