Paper Contents
Abstract
ABSTRACTArtificial Intelligence(AI) is beginning to take the future of national defence as it allows detecting threats quickly, enhancing coordination and increasing situational awareness. In this paper, five of the latest approaches including Neuro-Symbolic AI, AI-Driven Tactical Communications, AI Assurance Framework, Project Thunderforge and Project Sentient are studied and their innovations and their continuing gaps are identified. Although these models facilitate symbolic reasoning, tactical flexibility, system assurance and autonomous decision making, they have drawbacks in adversarial robustness, interoperability ,real time trustworthiness and ethical transparency. To overcome these limitations, we introduce SentinelNet, a multi-tiered defence architecture incorporating multi sensor integration, secure gateways, robust networking and explicable decision-making. SentinelNet provides real-time operation with short detection to decision cycles it can be configured to operate effectively in contested conditions(e.g. jamming or spoofing) and high oversight by being auditable and complying with rules of engagement. The framework presents a more reliable, versatile and future-enabled AI model to the current defence ecosystems.
Copyright
Copyright © 2025 Kartik Chopra. This is an open access article distributed under the Creative Commons Attribution License.
