Nowadays, the emergence of digital applications such as online gaming, extended reality (XR), and the Metaverse, causes the increasing demand of copyright data protection. The copyright data may be encrypted and transferred over communication media like wireless channels. In wireless communication networks, the need for robust content security and data protection is becoming increasingly critical. In addition, this communication also requires ultrareliable, low latency, and high-bandwidth connectivity. This paper proposes a secure and energy-efficient communication framework that leverages the synergies of Physical Layer Security (PLS) and Energy Harvesting (EH) techniques to address these demands. Specifically, a source node, energized by harvested energy, securely transmits confidential data to a multi-antenna destination node, while mitigating potential interception by an eavesdropper. The proposed framework incorporates advanced PLS strategies, including the use of jamming signals, Selection Combining (SC), and Maximal Ratio Combining (MRC) to enhance the confidentiality of the transmitted information. We derive exact analytical expressions for the Secrecy Outage Probability (SOP) and validate the theoretical results through Monte Carlo simulations. The simulation results demonstrate a significant performance improvement, revealing the intricate trade-offs between energy efficiency and security. In future work, we intend to explore the integration of AI-driven adaptive security protocols and blockchain-based authentication mechanisms to further fortify content security in next-generation wireless networks.