Since　intuitionistic　fuzzy　set　only　deals　with　uncertainty　but　not　periodicity,　therefore　to　overcome,　this　situation　complex　intuitionistic　fuzzy　set　is　a　better　tool　that　deals　with　both　uncertainty　and　periodicity.　Also,　Bonferroni　mean　operator　has　the　advantage　of　considering　interrelationships　between　parameters,　but　it　deals　with　only　the　crisp　data.　Recently,　to　deal　with　fuzzy　data,　many　extensions　of　Bonferroni　operators　have　been　developed.　Motivated　by　the　CIFS　and　BM　operators,　in　this　paper,　we　proposed　some　Dombi　Bonferroni　mean　operators　to　deal　with　CIF　information.　Dombi　Bonferroni　mean　operators　are　special　cases　of　general　T-conorm　and　T-norm,　which　have　the　advantage　of　good　flexibility　with　a　general　parameter.　We　proposed　the　complex　intuitionistic　fuzzy　Dombi　Bonferroni　mean　(CIFDBM)　operator,　complex　intuitionistic　fuzzy　Dombi　weighted　Bonferroni　mean　(CIFDWBM)　operator,　complex　intuitionistic　fuzzy　Dombi　geometric　Bonferroni　mean　(CIFDGBM)　operator,　and　complex　intuitionistic　fuzzy　Dombi　weighted　geometric　Bonferroni　mean　(CIFDWGBM)　operator.　Some　properties　of　the　developed　operators　are　discussed　in　detail,　and　different　cases　are　investigated.　Moreover,　a　multicriteria　group　decision-making　(MCGDM)　method　is　developed　based　on　the　proposed　aggregation　operators.　Finally,　a　numerical　example　of　information　security　management　evaluation　is　given　in　order　to　demonstrate　the　application　and　effectiveness　of　the　proposed　approach.　A　comparative　study　is　also　conducted　in　order　to　show　the　advantage　of　the　developed　method.