Nenge ase ken iyou i data la .
Fa akaa a ior ve ôron sha Intanet a ikyav i tesen ér kwagh la ka mimi la, man akaa a i gbe u a seer timen sha mi la.
Kuran kwagh u u lu maan la.
Cyber risk insight sha ci u mbainyarev, afishi a hen tsombor man mba ve tsough kwagh u vea er la mba nengen sha kwagh u akaa a ve lu a mi la man akaa a ve lu eren la.
Kwagh u i yer ér transaction la ka a na shighe a bee. Kwagh u i yer ér portfolio la ka a na ior ve lu a mzough. Kwagh u ior ve nengen a mi ken igbar la ka a na ior ve nenge a mi. Hanma kwagh yô, ka i gba u a pine mpin kposo kposo shi a na or jighjigh kposo kposo kpaa.
Se mba wasen u zuan a foto u mkor la sha akaa a i tsough u eren sha u kuran mluainja la. Ior mba ve lu a ian i eren tom ne la vea hemba veren ishima sha kwagh u kpenga u i we ishima u eren la, shin kwagh u i yer ér operational dependency la, shin kwagh u i pase ér ka kwagh u a lu hen kpe u orvesen ugen shin kwagh u i yer ér brand la, a eren kwagh a mi sha inja hii sha mhii je.
Hen ape iliam i hii la.
Kav kwagh u ken won
Nenge sha kwagh u a lu zan iyol u a bende a orvesen ugen, orvesen ugen shin iti i nan sha mpin u i yer ér scoped intelligence la.
Ver akaa a vesen a kohol cii
Gema akaa a i zough a mi la hingir akaa a i gbe u a er wang sha ci u shighe u i er kwagh a mi kera la.
Kwaghfan u a zough sha kwagh ne yô
Wa kwagh
U eren tom sha Intanet
Ior mba ve lu a mnenge u vough sha kwagh u mlu u ken tar u Amerika la, ka ve nenge ér vea zua a akaa, vea wa inyaregh ker shi vea er tom imôngo.
Kav
Kwaghfan u tan ior mciem iyol
Focused threat research sha u fan mkposo u kwagh u a lu ken igbar la man kwagh u a lu ken ijime la shi geman kwagh u i lu ôron la hingir kwagh u eren.
Wa kwagh
Kwaghwan u sha inja
Kwaghwan u injaa u kohol akaa a hange hange a mkor, ityom i kpenga man akaa a tsuan sha kwagh u inyar.
Ker gbenda cii ve or u nan lu tan num sha a we la nana kar ye.
Pase se akaa a a hembe lun hange hange yô. Se pase kwagh u m-er u eren kwaghbo la, man akaa a i gbe u nongo wou ua tsua u eren la.