Securing AI through Red Teaming: A Strategy for Risk Management

Article

As financial institutions increasingly adopt AI technologies, the risks to operational integrity and regulatory compliance are growing. This article delves into how Red Teaming—a proactive security strategy—can empower risk management professionals to secure AI systems, mitigate threats like data poisoning and model theft, and align with stringent banking regulations. Discover how adopting this adversarial approach enhances resilience and addresses the unique vulnerabilities in AI in banking.

Dec 05, 2024

Nitesh Kumar, Managing Director, Global Head of Cyber, Payment Systems Risk and Strategic Projects, BNP Paribas

Securing AI through Red Teaming: A Strategy for Risk Management

The views and opinions expressed in this content are those of the thought leader as an individual and are not attributed to CeFPro or any other organization

Red Teaming simulates real-world cyberattacks to uncover vulnerabilities in AI systems, ensuring robust defenses against emerging threats.
Incorporating Red Teaming into risk management helps financial institutions meet regulatory requirements, such as GDPR and Basel guidelines.
By stress-testing incident response protocols, Red Team exercises improve a bank’s readiness and ability to respond to actual cyber incidents effectively.
Red Teaming provides actionable insights for continuous enhancement of AI systems, enabling financial institutions to stay ahead of evolving risks.