This Computer Hacking Forensic Investigator v9 Training educates you with relevant knowledge on how to go about issues of cyber threats. CHFI-Computer Forensic Hacking Investigator v9 Training is designed to take the professionals through areas such as understanding of Forensic investigation process; Counter down anti-forensic techniques and understand computer forensics.
This technical training program helps professionals acquire the most essential and advanced concepts without any complications. During this course, you learn about computer forensics and incident response, electronic evidence collections, digital forensic acquisitions, and other advanced concepts. This course is also widely recognized and is very impactful when opportunities arise in the present workplace. Computer Hacking Forensic Investigator v9 Training helps individuals develop and enhance a good level of network security expertise. It is suitable for security officers, system administrators, legal professionals, and anyone concerned about the network infrastructure's probity.
This CHFI training course is recommended for IT professionals involved with incident responses, computer forensics, and information system security. The primary audience for this training are IT managers, e-Business Security professionals and Systems administrators.
The cut off score for CHFI certification exam ranges from 60% to 85%.
After completing your Computer Hacking Forensic Investigator certification exam training, you will need to present certificate of attendance (COA) to EC-council to purchase the CHFI exam voucher.
Yes, you can extend EC-council's CHFI certification exam voucher for three months by paying a fee of USD $35.
Yes, you will able to extract and analyze logs from different devices like IPSes, IDSes, proxies, firewalls, desktops, laptops, SIM tools, routers, servers, switches, DHCP servers, AD servers, Access Control Systems etc.
The Computer Hacking Forensic Investigator training makes you able to do detailed evaluation of the activity evidence and data to analyze the possible circumstances and implications of the noticed even.