RISGRA® - a counter-balance to the (compliance) risks of Neural AI and Agentic AI
RISGRA® – is a “Symbolic” (foundational) hyper-graph model.
Symbolic models bring real-world “Judgement”, to counter-balance & complement the “Predictive” power of Neural AI and Agentic AI models (LLM + ML).
Regulated organisations are grappling with the challenge of how to capitalise on the immense Predictive power of Neural AI and Agentic AI models, to create sustainable Enterprise Value;
Concurrently there is a realisation that integration into operations of “black box” AI capability will fail to meet multiple regulatory hurdles, which require complex, non-linear decision processes to be explainable, repeatable and demonstrably fair to customers;
Symbolic hyper-graph models (Ontologies) such as RISGRA® are foundational representations of real-world, curated knowledge that counter-balance and provide the guard rails necessary to enable the controlled implementation and compliant adoption of Neural AI and Agentic AI [ = Neuro-Symbolic AI ];
Organisations will need to rapidly develop bespoke, proprietary Neuro-Symbolic AI capabilities that are internally governed & controlled within the corporate perimeter;
RISGRA® models are purpose-built to support this fast moving transition.