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AI Security Maturity Model (AISMM) - Deep dive into the model
The AI Security Maturity Model is a comprehensive model that allows organizations to assess their maturity for 3 critical pillars: “Security for AI”, “AI for Security” and “Security from AI”. Borrowing concepts from CISA's Zero Trust Maturity Model, the AISMM defines 5 levels of maturity across 19 domains in AI Security. The AISMM also defines 5 key-indicators and success criteria for each domain to enable organizations to effectively identify their current state of maturity, highlight accomplishments and develop a plan based on prioritization of areas of improvement. The model aims to effectively connect frameworks like NIST AI RMF, ISO 42001 as well as regulations like EU AI Act to a well-structured and prescriptive approach to improving AI Security for the enterprise.
What You'll Learn
- Key ingredients of the AISMM
- Customizing the AISMM to your organization’s needs for AI Security
- Demonstration of a GenAI-powered AISMM assessment system built using Langchain ReAct (Reasoning and Acting) framework
Key Takeaways
- Evaluation framework for measuring AI Security Maturity for the enterprise
- Applying GenAI to augment and customize AISMM reporting and improvement plan creation
Who Should Attend
- AI system architects and engineers
- AI Security
- Product managers working on complex AI applications
- Governance practitioners
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