In　this　article,　the　fault-tolerant　and　attack-tolerant　cooperative　event-triggered　sampled-data　security　(FACETSDS)　synchronization　problem　of　space-varying　reaction-diffusion　neural　networks　(SVRDNNs)　under　spatially　point　measurements　(SPMs)　with　stochastic　actuator　failures　and　random　deception　attacks　is　investigated.　First,　to　save　more　communication　resources　and　adapt　to　the　variation　of　system　dynamics　subject　to　stochastic　actuator　failures　and　random　deception　attacks,　a　FACETSDS　control　scheme　is　proposed　under　SPMs.　Second,　by　constructing　a　Lyapunov　functional　and　utilizing　inequality　techniques,　some　synchronization　criteria　based　on　spatial　linear　matrix　inequalities　(SLMIs)　are　derived　for　SVRDNNs.　Then,　to　solve　SLMIs,　the　FETSDS　control　for　synchronization　problem　of　SVRDNNs　under　SPMs　with　stochastic　actuator　failures　and　random　deception　attacks　is　formulated　as　an　linear　matrix　inequality　feasibility　problem.　Lastly,　the　designed　FACETSDS　synchronization　strategy　is　verified　by　one　numerical　example.