Building Secure AI Systems: Why Asset Management Matters More Than Ever
AI security isn't about firewalls—it's about knowing your assets. Discover how leading organizations protect their AI investments.
3 min read
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AI Governance & Risk
AI Governance and Risk Management focuses on ensuring AI systems are secure, ethical, and aligned with organizational objectives. With AI adoption accelerating, organizations face increasing risks that require robust frameworks like the NIST Risk Management Framework (RMF) to proactively identify, assess, and mitigate potential threats. By integrating governance structures and risk-based methodologies, businesses can enhance accountability, maintain regulatory compliance with standards like the EU AI Act, and foster sustainable, trustworthy AI innovation.
AI Trust Framework
The AI Trust Framework outlines the core pillars—Transparency and Oversight, Technical Integrity, Ethical Considerations and Operational Excellence — essential for fostering responsible, secure, and accountable AI systems in today's evolving regulatory and operational landscape.
Holistic AI Risk Management
Holistic AI Risk Management requires a lifecycle-based approach that addresses risks at every stage of an AI system's journey—from design and development to deployment and ongoing operation. By integrating risk management practices throughout the AI lifecycle, organizations can proactively identify vulnerabilities, mitigate emerging threats, and ensure compliance with ethical and regulatory standards, fostering trust and resilience in their AI systems.
Here is a comprehensive list of AI risks to consider for securing and managing AI systems effectively across their lifecycle:
Traditional GRC frameworks are becoming increasingly irrelevant in the face of AI's rapid evolution; organizations must adopt AI-specific governance strategies to effectively manage emerging risks and ensure compliance.
Balanced AI Risk Management (BARM)™ Approach
Given the complexity of AI systems and the diverse risks they present throughout their lifecycle, a comprehensive and adaptable risk management strategy is essential. The Balanced AI Risk Management approach outlined below addresses these challenges by integrating key elements from established frameworks with practical, actionable steps. This structured methodology not only promotes responsible AI development and deployment but also ensures that organizations can effectively navigate the evolving landscape of AI technologies. Importantly, this approach is aligned with the NIST AI Risk Management Framework (AI RMF), providing a robust foundation for managing AI risks while maintaining compliance with ethical and regulatory standards.
Our AI Governance & Risk Management Solutions
AI Asset Discovery
Streamline the management of your AI ecosystem with our AI Asset Discovery Tool. Designed to identify and catalog AI assets such as models, datasets, and infrastructure, this tool provides a centralized view of your organization’s AI landscape. With comprehensive insights into dependencies and operational impact, it empowers better risk management and ensures alignment with industry standards and governance frameworks.
Features
Use automated discovery tools to accurately catalog your AI ecosystem, building a precise inventory of assets. Our structured registration process captures essential details, including BOM data, enabling robust governance, streamlined audits, and seamless compliance.
Automated Asset Discovery
Quickly identify and catalog AI assets across your ecosystem using advanced discovery tools, ensuring no critical component is overlooked.
Structured Registration for Governance
Capture essential details, including BOM data, through a structured registration process that supports governance and compliance requirements.
Dashboard for Real-Time Insights
Access a user-friendly dashboard to monitor your AI inventory, track dependencies, and gain actionable insights for better decision-making.
AI Risk Assessment
Evaluate risks across Transparency, Technical Integrity, Ethics, and Operations categories with our AI Risk Assessment Tool. Gain a holistic overview of your AI systems and leverage a robust risk scoring model aligned with industry standards to prioritize mitigation and inform decisions.
Features
Our AI Risk Assessment Tool delivers advanced capabilities to evaluate and manage risks across your AI ecosystem. Designed to provide in-depth insights into critical risk areas, it empowers organizations to make informed decisions and implement effective risk mitigation strategies with confidence.
Multi-Dimensional Risk Evaluation
Assess risks across key areas like transparency, technical integrity, ethics, and operations.
Industry-Aligned Risk Scoring
Prioritize mitigation efforts with a scoring model mapped to industry standards.
Regulatory-Aligned Insights
Gain actionable insights to ensure compliance with global AI regulations.
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