A Zero-Trust Approach to Autonomic Swarm Security, Resilience, and Safety
A research paper co-authored with TII's Secure Systems Research Centre, drawing the distinction between autonomic and autonomous systems and arguing that zero-trust principles, originally developed for enterprise network security, can be adapted to govern multi-agent swarm systems where individual agents may be compromised, resource-constrained, or operating with incomplete information.
The autonomic-versus-autonomous distinction matters. The agentic AI conversation is currently circling back toward it, often without realizing the term already has a working history in IBM's autonomic computing initiative and in network self-management research. This paper plants a flag in that older lineage and connects it forward to swarm robotics and distributed AI applications.
Read at TII: https://files-prod.tii.ae/static/publications/IO-230049-TII-SSRS-v2.2.pdf
