AI has transformative potential for the financial services sector, offering benefits from enhanced predictive analytics to improved customer service. However, integrating AI also brings significant risks that must be carefully managed. These risks include model malfunctions, data leaks, and regulatory non-compliance.
Third-party AI solutions, while beneficial, introduce an added layer of risk. By connecting Cranium to code repositories, security teams gain the transparency they need to effectively manage third-party risk. Cranium finds your AI and automatically generates an AI Bill of Materials (AI BoM), providing clear insight into the datasets, models, and libraries used in their development.
Safeguarding sensitive customer data and maintaining trust in your AI/ML applications requires proactive vulnerability identification in your AI infrastructure. Cranium provides ongoing monitoring and analysis to detect emerging threats and attack vectors, ensuring robust protection against data poisoning and breaches.
Cranium is designed to support automated compliance with critical regulatory requirements, like the EU AI Act, NIST AI RMF, and ISO. By analyzing your compliance framework responses, Cranium assigns a quantifiable compliance score to each system that can be tracked over time, ensuring continuous improvement and alignment.
Success Story
A leading global financial services firm deployed Cranium to enhance visibility into its AI processes and manage security and compliance risks associated with new offerings. Cranium identified vulnerabilities in open-source models, validated data in tailoring, and provided clients with an AI Card to certify the security and compliance of their AI systems.
Manage AI risks and ensure compliance with Cranium.
