Skip to Content

Career and Survival in Cyber Security Domain

27 August 2025 by
PseudoWire

As Cyber space is expanding and exploring like anything, Cyber Security grows with same pace. Which demands right skilled and trained resources to manage and operate controls.

Job opportunities are starting from security analyst to threat hunter to subject matter expert in security service delivery area. Security design consultants, Auditors, Governs & Compliance management, Application development security engineers and so on ……

Respective vertical highly demanding clear understanding of particular vertical’s technology knowledge like Application Development, Network Solutions including Switching, Wireless, Routing, Operating Systems, Identity Directories, Cloud Infrastructure and Regulatory Domains.

‘You need to know the thing, and you need to have visibility then only you can protect’ this is base concept of security.

Patrolling the perimeter is requires understanding of landscape or territory.

All of the security areas partially excepted compliance management is now enhanced with AI & ML supports like SIEM / XDR / SOAR platforms.

It’s bringing additional knowledge and skill demand of platform understanding and operational efficiency by resources.

Thinking to became security professionals is collaborating with understanding of fragile state of career position. Since security personnel is accountable for safety of securing assets. Inspiring by successful security profiles are not your only one reason to choose this career. Always need to consider Survival Bias / Survival ship Bias theory. Which asking you to include failed values in your samples

Survival ship Bias:

During World War Two the military wanted to put armor on the aircraft to protect vulnerable spots. However, they couldn’t place armor everywhere because it would be too heavy.

They looked at the bullet holes on the planes that returned, the survivors in this example. The military’s first inclination was to reinforce locations with the most hits. That seems to make sense. However, Abraham Wald, a mathematician, realized that survivorship bias was at work here. The surviving planes got hit in the observed locations and still returned. Consequently, strengthening these locations aren’t top priorities. Instead, it’s critical to infer the missing data about where the non-returning planes were hit. Wald realized they needed to reinforce the locations on returning planes that were not hit. Clearly, the aircraft that got hit in those areas did not return!

PseudoWire 27 August 2025
Share this post
Tags
Archive