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Cybersecurity is one of the hardest markets to hire in, and a lot of the difficulty comes from how companies approach the process. Candidates are still being filtered on degrees, previous employers, and years of experience- signals that are particularly weak in a field where the best work is confidential, and skills need updating constantly. Good people are getting screened out, and what looks like a talent shortage can often be a matching problem.
So, what changes when companies stop filtering on the usual proxies and start hiring on what candidates can actually do?
My guest this week is Laurent Halimi, CEO and founder of Cyberr.ai, a professional network for cybersecurity professionals. In our conversation, Laurent explains why the skills shortage in cybersecurity is only half the truth, where the bias in hiring really comes from, and what it takes to judge candidates on skills that you can actually verify.
In the interview, we discuss:
How AI is changing what cybersecurity professionals do and the new roles it is creating
A real skill gap at the senior level and a matching problem everywhere else
The certification race and why it is losing relevance
Why hiring in cybersecurity is different from other technical fields
Trust, stale skills, and work that stays invisible
Where the bias in hiring algorithms really comes from
Practical steps for judging candidates on verifiable skills
Anonymous applications and giving candidates control of their profiles
Will skills finally beat pedigree, and what does the future look like?
