Our Research

New technologies and rapid innovation pose safety risks. Looking beyond hype cycles and short-term gains, we employ a sustainable approach to agentic AI safety in an era of mistrust.

AI will eventually master knowledge work, so exploring and employing skills beyond it lies in wisdom tooling. Those specific human attributes, such as discernment, empathy, and physical experience, will help guide knowledge work that AI systems are slated to become increasingly good at.

Agentic AI differs from AI agents as orchestrated multi-agent operators. AI agents are deployed for singular, tool-assisted tasks. Agentic AI refers to programmatic artificial intelligence systems that are cross-agent, automated multi-stage operators. Agentic AI autonomously learns and adapts to perform tasks and make decisions much like humans can, from using a cursor to click URLs to manipulating file systems. Now that AI systems are increasingly capable of such tasks, utilising human intelligence beyond mechanised thought or knowledge work is key to revising values and preparing for societal change.

Moreover, consider autonomous AI systems with increased agency to perform tasks, learn, and adapt. We do not know what will result from its ability to carry out its goals. Explainable AI, collective awareness, and refined control systems for worst-case scenarios are required.

As new tools and ecosystems emerge, such as the Model Context Protocol (MCP), which allow increased LLM capability, interactions, and extensibility, safety, and security gaps are inherent.

We’re addressing such questions as:  

1. How can we secure attack surfaces broadened by the rapid proliferation of LLMs and Agentic AI?
2. How can we secure our Cognitive Infrastructure and discern factual information from fiction?
3. How can we ensure transparency and ascertain the origin of content and its validity?

Neuzida’s ICT/AI research attributes academia, expert contributions in cybersecurity, AI safety, and over a decade of digital transformation experience in the entertainment and creative industries. We employ holistic thinking and strategic depth in a rapidly evolving landscape where machines become thinkers and interpreters of information for human audiences.