Embedded GenAI is generative AI built directly into an application or workflow, rather than offered as a separate chatbot. It may draft text, summarize records, classify cases, answer questions from internal documents, or assist with code and report generation inside business systems.
This matters in cyber security because the model becomes part of the control layer. Its inputs can include prompts, documents, logs, databases, and source code, so the attack surface expands beyond the model itself. Common risks include prompt injection from untrusted content, sensitive-data leakage through retrieval, and incorrect outputs that influence decisions. Defenders reduce exposure with scoped access, trusted retrieval sources, human review for high-risk actions, logging, approval gates, and testing for unsafe model behavior.