SENSE is a relational theory of the self: it treats identity as something that emerges through interaction, recognition, and lived experience over time, rather than as a fixed inner object. In cybersecurity discussions, the term is useful as a warning about interpretation. A system that produces fluent, reflective language can seem self-aware, but that performance does not prove intent, understanding, or agency.
This matters because attackers and defenders both rely on human judgment. Malicious chatbots, fake assistants, and persuasive phishing tools can exploit anthropomorphism, making users trust a machine that only sounds accountable. Defenses should treat self-referential output as a UX signal, not evidence. High-impact workflows need human review, source-backed answers, and clear uncertainty handling. SENSE helps explain why people over-attribute mind to machines, and why security teams must separate convincing language from verified capability.