How firms detect, analyze, and respond to attacks has changed as
cybersecurity systems incorporate AI. In the age of technology, human language
abilities, especially English ability, are undervalued. In AI-driven cybersecurity
scenarios, English proficiency affects threat interpretation, incident response, end-user
interaction, and interface design. Linguistic clarity improves AI system
communication, reducing miscommunication and speeding up multinational security
operations. Standardized English is essential for understanding, expressing, and
interpreting cybersecurity information in multilingual teams where AI relies on
language inputs for correctness. Poor language abilities might mess up the procedure
and miss subtle social engineering dangers. The report highlights the necessity for
language ability to identify and address complex digital requirements by assessing
current issues. Based on real-life case studies, NLP technology, and human-AI
interaction models, the research recommends language training and English
communication standards for cybersecurity procedures. The findings demonstrate the
need for an interdisciplinary strategy that combines language and technological skills to
improve cyber defense techniques in a changing digital world.
Keywords: Artificial Intelligence, Cyber-security, Communication, English Language Proficiency, Human-AI Interaction, Language-Aware Systems, Natural Language Processing (NLP), Security Protocols.
