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.
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.
In-person ESA events in Sydney (2nd March) & Melbourne (5th March). Explore how automating an ESA Framework transforms security from a resource-constrained control function into a scalable, business-enabling capability
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.
A demonstration of a live discovery with a CEO and CISO, translating business objectives and constraints into a SABSA-aligned attributes-driven security architecture with clear traceability from business requirements to architectural outcomes and investment decisions.
