Credo AI

What is Credo AI?

Credo AI delivers a unified platform that empowers businesses to responsibly integrate, expand, and oversee their artificial intelligence operations. It furnishes capabilities for cataloging AI projects, streamlining risk mitigation, ensuring adherence to policies, and producing audit-ready governance documentation. The solution seamlessly connects with established AI and machine learning infrastructures to simplify supervision, guaranteeing that all AI applications meet standards for regulatory conformity, equity, and clarity. It is extensively adopted by corporations in heavily supervised sectors like banking, medical services, and the public sector to sustain authority and confidence in their AI technologies.

Key Features:

• AI Registry and Metadata Management: A central hub for cataloging all AI systems and projects, facilitating prioritization based on risk, business impact, and potential revenue.

• Automated Policy Enforcement: Modular policy packages allow for consistent governance that aligns with legal mandates, regulatory requirements, and corporate standards.

• Generative AI Risk Controls: Dedicated safeguards and management protocols designed to address the unique risks posed by generative AI and large language models.

• Third-Party AI Risk Assessment: A dedicated vendor portal to assess and oversee AI-related risks from external partners via evidence submission and conformity verification.

• Integrated Risk and Compliance Reporting: Interactive dashboards and automated reporting offer live insights into AI risk exposure, compliance health, and governance actions.

• Seamless Technical Integrations: Interfaces with current MLOps pipelines, cloud services, and evaluation tools to automate data collection and implement governance directly in code.

Use Cases:

• HR Technology Oversight: Supervise and reduce bias in automated recruitment and personnel management AI systems to ensure they meet legal and ethical guidelines.

• Financial Services Compliance: Oversee AI risks in areas like credit assessment and fraud prevention, ensuring regulatory compliance and ethical application.

• Healthcare AI Governance: Scrutinize AI systems for potential biases to enhance patient care and satisfy strict healthcare industry regulations.

• Generative AI Adoption: Enable the secure implementation of generative AI across various business functions with integrated risk reduction and usage management.

• Government and Defense AI Trust: Guarantee that AI systems used in the public sector adhere to specific policies and accountability measures to foster citizen trust.