| 1 | worked in a team | | | | | | | 3 | 0.56% |
| 2 | in a team to | | | | | | | 3 | 0.56% |
| 3 | design and implement a | | | | | | | 2 | 0.38% |
| 4 | to design and implement | | | | | | | 2 | 0.38% |
| 5 | team to design and | | | | | | | 2 | 0.38% |
| 6 | a team to design | | | | | | | 2 | 0.38% |
| 7 | flagging noncompliance 3x faster | | | | | | | 1 | 0.19% |
| 8 | the gopacket networking libraries | | | | | | | 1 | 0.19% |
| 9 | and flagging noncompliance 3x | | | | | | | 1 | 0.19% |
| 10 | detection and flagging noncompliance | | | | | | | 1 | 0.19% |
| 11 | made heavy use of | | | | | | | 1 | 0.19% |
| 12 | of the gopacket networking | | | | | | | 1 | 0.19% |
| 13 | use of the gopacket | | | | | | | 1 | 0.19% |
| 14 | assessed network security vulnerabilities | | | | | | | 1 | 0.19% |
| 15 | network security vulnerabilities within | | | | | | | 1 | 0.19% |
| 16 | automating detection and flagging | | | | | | | 1 | 0.19% |
| 17 | network automating detection and | | | | | | | 1 | 0.19% |
| 18 | security vulnerabilities within riot’s | | | | | | | 1 | 0.19% |
| 19 | vulnerabilities within riot’s firewall | | | | | | | 1 | 0.19% |
| 20 | heavy use of the | | | | | | | 1 | 0.19% |
| 21 | powered by hugo logo | | | | | | | 1 | 0.19% |
| 22 | environment with senior infosec | | | | | | | 1 | 0.19% |
| 23 | and made heavy use | | | | | | | 1 | 0.19% |
| 24 | minimizing risks in response | | | | | | | 1 | 0.19% |
| 25 | spoofing activities in the | | | | | | | 1 | 0.19% |
| 26 | activities in the network | | | | | | | 1 | 0.19% |
| 27 | in the network implemented | | | | | | | 1 | 0.19% |
| 28 | the network implemented in | | | | | | | 1 | 0.19% |
| 29 | network implemented in go | | | | | | | 1 | 0.19% |
| 30 | risks in response to | | | | | | | 1 | 0.19% |
| 31 | activity minimizing risks in | | | | | | | 1 | 0.19% |
| 32 | with senior infosec specialists | | | | | | | 1 | 0.19% |
| 33 | suspicious activity minimizing risks | | | | | | | 1 | 0.19% |
| 34 | determine suspicious activity minimizing | | | | | | | 1 | 0.19% |
| 35 | and determine suspicious activity | | | | | | | 1 | 0.19% |
| 36 | to detect exposure points | | | | | | | 1 | 0.19% |
| 37 | specialists to detect exposure | | | | | | | 1 | 0.19% |
| 38 | infosec specialists to detect | | | | | | | 1 | 0.19% |
| 39 | senior infosec specialists to | | | | | | | 1 | 0.19% |
| 40 | the network automating detection | | | | | | | 1 | 0.19% |