The Reasonable Security Institute partners with the CPA Australia Queensland Information Technology Discussion Group and the ISACA Sydney Chapter in this presentation.
The presentation commences with a high level explanation of the difference between AI Assistant such as Copilot and AI Agent such as OpenAI Operator. We will walk through some practical Agentic AI use cases in financial services and how it could ease the cost of living pressure and improve financial inclusion.
We will give an update on the latest innovations in enabling Agent-to-Agent communications introduced through Anthropic Model Context Protocol (MCP) and the Agent2Agent Protocol (A2A). According to Anthropic, MCP is designed to enable AI Assistants to break out from the constrained from their isolation from data, trapped behind information silos and legacy systems, to be transformed into fully functional AI Agents. Agentic AI is not a technology breakthrough but a modelling breakthrough akin to Deepseek. It just works smarter even without hardware assistance. The Google Agent2Agent Protocol (A2A), compatible with the Anthropic MCP, is the necessary step to enable structured and scalable agent-to-agent communications to materialise the full potential of Agentic AI. MCP/A2A challenges the GenAI Transformer pre-training paradox, which promised that the GenAI has already been trained on ALL available data humans have ever amassed and now needs to learn from synthetic data. While this assertion is not necessarily incorrect, it is inward-looking. Agentic AI, unlike GenAI and its AI Assistants, generate most value through collaboration, amplifying their specialisation.
This presentation concludes with some tips for financial professionals on how to assist their clients and organisations in preparing for the Agentic AI era and how to manage their financial risks informed by standard-based, data-driven risk quantification
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Measuring KRI using the FAIR-U Workbook
This webinar provides practical cyber risk measurement skills to management third-parties and Agentic AI risks. This webinar introduces the FAIR-U Workbook for Learners (beta), a free Excel Workbook. We we walked through the end-to-end process applying the workbook to measure a given KRI (Key Risk Indicator).