A Review of AI-Driven Cyber Emergency Response Systems: Edge Intelligence, Digital Cyber First Aid, and Human-Centric Cybersecurity

Abstract: In the area of cyber security research, many advances have been made in the areas of automated threat detection, malware analysis, phishing identification, anomaly detection, and cyber threat intelligence. However, detection capability alone does not ensure effective assistance to the victims during active cyber incidents. This review explores the intersection of Artificial Intelligence (AI), Edge Intelligence, digital incident response, Digital Cyber First Aid, multilingual natural language processing and human-centric cyber security. The literature is organized around the cyber- incident life cycle and in particular in terms of latency, privacy, explainability, accessibility, evidence preservation, incident reporting, and oversight by humans. The review reveals a persistent fragmentation problem, i.e., many existing approaches are optimizing an individual task, while relatively few approaches connect detection, triage, immediate user guidance, structured reporting, stakeholder coordination, recovery, and post-incident learning. Based on this synthesis, an integrated reference architecture is proposed that places privacy-preserving edge triage at the user boundary and connects it to AI-assisted threat intelligence, Digital Cyber First Aid, multilingual interaction, secure case management, and authority-aware coordination. A risk-oriented evaluation framework is also defined to assess response time, triage quality, privacy, usability, accessibility, evidence integrity, and resilience. The proposed architecture is presented as a research framework rather than as an experimentally validated product; consequently, quantitative performance claims are not made. The review concludes that future cyber emergency systems should move from detection-centric automation toward trustworthy, human-in-the-loop, lifecycle-aware response ecosystems.

Keywords: Artificial intelligence, cyber emergency response, edge intelligence, digital cyber first aid, human-centric cyber security, multilingual NLP, incident response, cyber resilience, threat intelligence.