AI Risk Management
Risk management for AI and machine learning
Mitigate AI Risks with Coalfire Services
As with many new technological innovations, AI can expose organizations to significant risks, including cyber threats and rapidly evolving compliance regulations. Coalfire® provides a comprehensive portfolio of cybersecurity services designed to help you manage the risks associated with AI. Our AI governance and compliance services enable your organization to navigate the complex risk and compliance challenges related to AI development, adoption, and integration into business models and processes.
Whether your organization is designing systems, implementing AI solutions, or undergoing formal evaluations, Coalfire's services complement and enhance the entire AI product lifecycle. Our expertise ensures compliance with associated regulatory obligations, helping you navigate the complexities of AI development and integration seamlessly.
AI Risk Management Services Aligned with NIST AI RMF by Coalfire
Aligned with the NIST AI Risk Management Framework (AI RMF), Coalfire offers a comprehensive suite of services to design, execute, manage, and operationalize your AI risk management program. Ensure your organization's AI initiatives meet regulatory standards and effectively mitigate risks with Coalfire's expert guidance.
Risk Workshop & Governance Strategy
Based on the NIST AI Risk Management Framework (RMF), Coalfire’s AI risk assessment identifies potential threats and vulnerabilities in AI system development and usage.
AI Risk Program Build
We provide comprehensive advisory services aligned with emerging AI risk management frameworks to develop AI governance documentation, identify and map AI risks, and create risk remediation plans.
Threat Modeling & Security Evaluation
Coalfire offers threat modeling and security evaluation services to analyze risk for your organization’s machine learning (ML) models, including Large Language Models (LLMs).
Penetration Testing
Coalfire provides a thorough evaluation of the infrastructure supporting your organization’s AI models by examining network security, cloud security, API security, and other critical areas.
AI Compliance Readiness
Coalfire conducts a readiness analysis to identify design and implementation gaps in your AI governance program, ensuring alignment with key regulations, standards, and frameworks.
AI Governance Attestation
Upon successful completion, Coalfire will issue a formal attestation confirming that your organization has taken the appropriate steps to manage AI risk in its programs.
Regulations and Frameworks Covering AI
What You Need to Know
Organizations rapidly deploy AI and machine learning to innovate their products and services. AI Compliance frameworks and regulations are evolving swiftly to address the associated risks. Existing frameworks and regulations have evolved to include AI, and new requirements are continually emerging to ensure safe and responsible AI deployment.
ISO/IEC 42001:2023: Artificial Intelligence Management System
ISO/IEC 42001:2023 is an international standard that specifies requirements for establishing, implementing, maintaining, and continually improving an Artificial Intelligence Management System (AIMS) within organizations. It is relevant for entities providing or utilizing AI-based products or services, ensuring responsible development and use of AI systems.
HITRUST CSF v11.2 Framework
HITRUST CSF v11.2 emphasizes the integration of emerging technologies like Artificial Intelligence (AI) in its cybersecurity and privacy controls, particularly in areas such as threat detection, incident response, and risk management.
NIST Artificial Intelligence Risk Management Framework (NIST AI RMF)
In collaboration with the private and public sectors, NIST has developed a framework to better manage risks to individuals, organizations, and society associated with artificial intelligence (AI). The NIST AI Risk Management Framework (AI RMF) is not mandatory. It helps organizations improve the incorporation of trustworthiness considerations into the design, development, use, and evaluation of AI products, services, and systems.
Criteria Catalogue for AI Cloud Services (AIC4)
The Criteria Catalogue for AI Cloud Services (AIC4) criteria catalog forms a strong foundation for evaluating the trustworthiness of AI-based cloud services. It is a prerequisite for ensuring the information security of future-proof AI applications in concrete development and deployment environments.
EU Artificial Intelligence Act
The EU Artificial Intelligence Act is a regulatory framework from the European Commission that governs the development, deployment, and use of AI technologies across the European Union. It classifies AI systems into risk categories (unacceptable, high, limited, and minimal risk) and imposes strict requirements for high-risk AI applications, such as transparency, accountability, and human oversight.
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