Abstract: 【Purpose/significance】Due to some enterprises will use illegal means to invade information systems and illegally obtain
competitive intelligence. In order to further improve the detection efficiency of user access exceptions, the financial competitive intelli‐
gence guarantee model from the perspective of knowledge association is studied.【Method/process】Two mechanisms are constructed to protect information security: the first is to build an intelligence database intrusion prevention mechanism based on knowledge associa‐tion mining, and prevent illegal intrusion through intrusion detection. The second step is to build an encryption guarantee mechanism for the financial competitive intelligence database, and perform RSA (RSA Public Key System) and DES (Data Encryption Standard) hybrid encryption for the intelligence database. Even if illegal users break through the first protection, they can still protect their data from being stolen. 【Result/conclusion】The results show that under the first protection, the detection results are mostly consistent with the actual situation, and only one intruder successfully logged in. Under the second level of encryption, the intruder failed to crack the ciphertext of financial enterprise intelligence, proving that the research model succeeded in preventing intelligence leakage and ensur‐ing intelligence security.【Innovation/limitation】However, because there are fewer types of attacks in this test, and more attack meth‐ods are used in the actual situation, further analysis and testing are needed to expand the applicability and applicability of the model.