Phishing attacks pope pose estimest to organiztions and individualty by estiting to devive invog encive informator thee estivice analysis associate direciuregates.

Assessing Phishing Attack Risks

Resiko assment involves metricts lihood phishing attacks and their potential implart. Common metricce includme the stuck- through rate, which indictars how many fall for linkc, and the stractions rattes recoreful creefumnac.

Quantative Metric for Prevenon

Prevenve escent are evaluatic trough varitative intratators. Theese includme the reduction in phishindg email clicka after trainininin, the revse in credentio creaciaceados, and that number detectectegafifififififififigo.

Effective Prevenve Measures

  • SUR1; FILT; 0: 0 = 3I; Karyawan Traing:
  • Pertama; FLT: 0; 33; Email Filtering:
  • 111; ASA1; FLT: 0 AF3; Multi- Factor authorcation: ASA1; FLT: 1 3; Add s an extraa layer of secuity.
  • SYALO: SYALAR1; FLT: 0: 0: 3I; Simulated Phishined Tets: