In　the　digital　transformation　of　the　banking　sector,　incorporating　advanced　technologies　such　as　cloud　computing,　big　data　analytics,　artificial　intelligence,　and　blockchain　has　revolutionized　financial　services.　However,　this　rapid　digitalization　brings　significant　data　privacy　and　cybersecurity　challenges.　This　study　investigates　the　challenges　banks　have　maintaining　data　privacy　and　cybersecurity　while　implementing　new　technologies,　how　they　perceive　these　challenges,　and　what　steps　they　take　to　reduce　the　risks　involved.　This　qualitative　study　uses　thematic　analysis　to　examine　interviews　conducted　with　IT　specialists　in　the　banking　sector.　NVivo　14　software　is　employed　to　identify　key　themes　and　patterns　related　to　the　challenges,　perceptions,　and　strategies　regarding　data　privacy　and　cybersecurity　in　technology　adoption.　The　findings　reveal　that　the　primary　challenges　faced　by　banks　include　integrating　legacy　systems,　evolving　compliance　management,　managing　vendor　risks,　maintaining　customer　confidence,　and　mitigating　emerging　risks.　Banks　perceive　robust　data　privacy　and　cybersecurity　as　critical　for　competitive　advantage,　regulatory　compliance,　and　customer　trust.　Strategies　include　robust　access　controls,　continuous　threat　monitoring,　employee　training,　regulatory　compliance　with　governance　frameworks,　and　data　encryption.　This　study　provides　original　insights　into　the　specific　challenges　and　strategies　related　to　data　privacy　and　cybersecurity　faced　by　banks.　It　contributes　to　the　existing　literature　by　highlighting　the　unique　context　of　the　banking　sector　and　employing　qualitative　analysis　to　uncover　nuanced　perceptions　and　practices　of　IT　specialists.