AI Guardian
Providing you a line of sight for your AI Governance and AI risk management risk practices
As organizations increasingly integrate artificial intelligence (AI) into their operations, the need for governance and compliance frameworks continues to grow critical. Guardian, our AI governance product, is purpose-built to address these challenges, providing organizations with a suite of tools and services for AI model use case management, model inventory, and alignment with industry-leading standards like ISO 42001, the NIST AI Risk Management Framework (AI RMF), and the NIST Generative AI Profile.
Guardian not only simplifies compliance but also ensures your AI initiatives are aligned with ethical, transparent, and risk-aware practices.
Why AI Governance Matters
AI models can significantly enhance operational efficiency, decision-making, and innovation. However, without proper governance, organizations risk unintended consequences such as bias, privacy violations, and regulatory non-compliance. Key challenges include:
Tracking the lifecycle of AI models
Managing diverse use cases with varying compliance requirements
Ensuring adherence to emerging regulations and frameworks
Addressing ethical concerns in AI deployments
Guardian offers an all-encompassing solution that mitigates these risks while enhancing the operational resilience of AI systems.
Key Features of Guardian
The program applies to all FedLine solutions, including:
AI Model Use Case Management
Centralized Repository: Store and track AI use cases across the organization, ensuring a single source of truth for all deployments.
Risk Categorization: Classify AI use cases by risk level (e.g., low, moderate, high), aligned with NIST AI RMF risk categories.
Impact Assessments: Perform risk and model impact assessments and record within the platform use case thereby gaining insight into models requiring added security or data protection attention.
Workflow Integration: Streamline approvals and documentation with built-in workflows tailored to AI model use cases.
Maintain a Model Inventory
Dynamic Tracking: Maintain an up-to-date inventory of all AI models, including details on their purpose, versioning, training datasets, and performance metrics.
Compliance Tags: Apply compliance tags based on alignment with ISO 42001, NIST AI RMF, and other frameworks to ensure traceability.
Version Control: Track updates, retraining, and decommissioning activities to maintain transparency across the model lifecycle.
Services to Align with Global Standards
ISO 42001: Discover guidelines for AI system lifecycle management, including governance structures, risk assessments, and incident response planning.
NIST AI RMF: Identify NIST AI RMF’s core functions—Govern, Map, Measure, and Manage—supporting compliance with best practices for AI risk management.
NIST Generative AI Profile: Help manage unique risks of generative AI, such as assessing for hallucination, bias, and misuse.
How Guardian Support AI Security and Governance
Guardian platforms and services combined to support our clients’ efforts to:
Gain line of sight into their AI and machine learning (ML) environment including the models currently in use or development as well as the objectives they fulfill.
Establish a governance structure and maturity framework for the oversight of AI and ML usage within the organization.
Obtain a level of compliance with emerging AI standards and frameworks.
Generate awareness of AI and ML usage within the organization and establish a culture of security, privacy and ethical operations in the use of models.Â
Our consulting services are tailored to support your organization throughout the AI lifecycle, from development to deployment and beyond. Our method ensures your AI operations are compliant, ethical, and aligned with best practices while mitigating risks effectively.
This includes services such as gap analyses, control evaluation and assessment of AI related processes. With the foundational support of the Guardian application model Elevate can help you improve your AI security and compliance posture.
We work closely with your team to define the scope of your AI systems and their applications, mapping them to relevant regulatory and compliance requirements.
By identifying data flows, system dependencies, and associated risks, we establish a comprehensive governance strategy.
This additionally includes documenting these use cases within he Guardian platform for lifecycle management.
Create clear accountability structures, assign roles and responsibilities for AI oversight within your organization.
Establish governance policies and charters that incorporate “responsibility by design,” ensuring ethical principles like transparency, fairness, and accountability are embedded into every stage of your AI operations.
Conduct risk analyses that evaluate vulnerabilities across dimensions such as bias, security, privacy, and robustness.
Perform detailed gap analyses against regulatory frameworks like ISO 42001 and NIST to identify areas of non-compliance.
Recommend and implement tailored controls to address identified risks and close compliance gaps.
Assist in drafting policies and procedures that ensure compliance with industry standards and align with organizational objectives.
Implement technical controls, such as data encryption, monitoring mechanisms, and bias mitigation processes, to enhance system security and integrity.
Support in the development of metrics to assess AI system performance, including accuracy, fairness, reliability, and robustness.
Ensure continuous monitoring compliance through ongoing eyes on key metrics, enabling proactive issue identification and resolution.
Implement processes for managing model inventory, version control, and change management to maintain operational resilience.
Support the integration of governance into everyday AI operations, ensuring alignment with evolving regulatory landscapes.
Provide continuous monitoring solutions to ensure compliance with current and emerging AI regulations.
Offer advisory services to prepare for audits, including guidance on documentation, evidence management, and remediation plans.
Why Choose AI Guardian?
Expertise Across Frameworks
With deep knowledge of ISO 42001, NIST AI RMF, and NIST Generative AI Profile, our team delivers comprehensive guidance tailored to your organization’s needs. AI governance and compliance is an emerging discipline in which we are experienced.
Unified Governance Approach
We streamline compliance efforts by integrating requirements from multiple frameworks into a cohesive governance strategy, reducing complexity and duplication. Our Guardian platform further supports compliance efforts as a software solution to use case and inventory management.
Tailored Solutions
Every organization is unique. Our recommendations and implementation strategies are customized to align with your specific AI use cases, risks, and objectives.
End-to-End Support
From initial assessments to ongoing compliance monitoring, we provide support throughout the AI lifecycle, ensuring you are always one step ahead in managing risks and meeting standards.
Future-Ready Capabilities
By focusing on emerging AI challenges, such as generative AI risks, bias mitigation, and ethical concerns, we prepare your organization to navigate the evolving regulatory landscape with confidence.