With systematic innovations in research paradigms, algorithmic frameworks, and engineering technologies, DeepSeek has pioneered a novel pathway for developing cost-effective, high-efficiency, and open-source large-scale reasoning models. This breakthrough not only drives transformative changes in the generative AI industrial landscape but also accelerates the restructuring of global AI governance frameworks.However, the rapid iteration cycles, broad application scope, and globally distributed development of DeepSeek-like AI present both significant opportunities and challenges for mainstream ideological security. Its technical mechanisms align closely with ideological dissemination patterns, enabling subtle influences on human cognition and behavior through three key dimensions: embedding value presuppositions within mainstream ideologies, reshaping ideological production methodologies, and redefining ideological education paradigms. These characteristics highlight its immense potential to reinforce ideological security.Nevertheless, limitations in technical governance and ecosystem development during its nascent stage pose multifaceted risks. Data biases and content hallucinations may disrupt ideological communication and weaken discursive authority. Additionally, its unique functionalities provide new avenues for value infiltration and ideological competition, potentially intensifying intelligent ideological confrontations. The lag in domestic and international regulatory frameworks further complicates governance, posing challenges to the stability of ideological security. To harness the empowering opportunities offered by DeepSeek-like generative AI while mitigating its potential ideological risks, it is essential to clarify value orientations and improve institutional safeguards, strengthen technical regulation to prevent value deviation, promote human-machine collaboration to enhance governance efficacy, and share the benefits of intelligent dividends to reshape international consensus.