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Architecting Agentic AI Semantic Conventions

By projecting the semantic conventions of Agentic AI, a layered architecture can be easily developed, and by mapping this to the SABSA Governance Framework an Agentic AI Governance model emerges.

AI Readiness Assessment

Take a strategic look at your ability to adopt and benefit from AI deployment and provide key insights into the organisational capability and understanding of what is required to effectively manage AI with our free online AI Readiness Self-Assessment.

Architecting Information for AI

The recent emergence of AI into the consumer, business, and government space has introduced not just new demands on access to data, but a whole new industry around data science in order to build AI models that can reason using plain language.  As architects we must ensure that whatever emerges from data science architected and aligned with business requirements in order to contribute value. 

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Responsible AI Reference Architecture

To be effective, the deployment of AI in enterprises needs to be carried out in a responsible manner, ensuring safety for users and the business, and security of the models and datasets. An AI Reference Architecture can identify and categorise the services required for a safe and secure environment for AI.

Enterprise Security Architecture (ESA) Principles

An explanation of SABSA®’s Principles for Enterprise Security Architecture, revealing the most common client mistakes we encounter, and demonstrating how we at David Lynas Consulting use ESA Principles.

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AI Security Architecture

Join Dr. Malcolm Shore discusses AI Security Architecture. Learn how to architect security solutions to manage the risk from cyber attacks and AI malfunctioning.

The Business of Risk

How can we make The Business of Risk meaningful, credible, and clearly understood? How do we provide accurate Risk Context for decision-making that balances the likelihood of loss with the possibility of gain?

SABSA’s Integrated Controls Library

Explorie how the Integrated Controls Library (ICL), a centralized repository for information about an organization’s approved security controls and associated meta-data, plays a critical role in fully realizing an enterprise security architecture’s full range of benefits.

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