SABSA TRAINING CONSULTING
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CyberConnect Canberra, 27-28 May 2026

Chief Architect Dr. Malcolm Shore will be presenting on Architecting Security for Enterprise AI at AISA CyberConnect in Canberra on 28th May 2026. The event takes place at The Hotel Realm, Barton ACT.

Turbo-Charge Your SABSA Proficiency Through Modelling

Are you enthused by the SABSA methodology but wish you had a faster, clearer, more insightful way to visualise and analyse your security landscape? Discover how Enterprise Architecture modelling techniques can revolutionise your approach to SABSA.

Secure & Responsible AI: Agentic AI

The first instalment of our quarterly webinars on Secure & Responsible AI - Agentic AI. Learn how Large Language Models are evolving into the next wave of AI Agents—and why this shift is reshaping the future of software, business, and the web itself.

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.

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.