Intersectionality and cybersecurity hiring: what changed in 2026
A look at how cybersecurity hiring is shifting in 2026, what intersectionality means in practice for Black women, and how to navigate the moment with clear eyes.
- hiring
- intersectionality
- industry-trends
- cybersecurity-careers
Hiring in cybersecurity is shifting again, and 2026 has its own particular texture. I want to talk about what I am seeing, what intersectionality actually means when you are the one applying, and how to navigate this moment without either false comfort or unnecessary fear. I will try to stay honest about what is changing and equally honest about what I cannot prove.
A note before I start. I am describing trends I observe and hear about, not handing you hard statistics. The field moves quickly, and anyone who speaks in precise numbers about a year still in progress should be read with some caution. Take this as a practitioner's read of the moment, meant to help you think, not as a final accounting.
What intersectionality means in a hiring context
Intersectionality is a word that gets used a lot and explained rarely. In plain terms, it is the idea that you do not experience the parts of your identity one at a time. For a Black woman in a hiring process, race and gender are not two separate factors that a fairness checklist can handle independently. They combine into a specific experience that is not the same as being Black, or being a woman, considered on its own.
This matters for hiring because well meaning efforts sometimes address one dimension while missing the combination. A process can improve for women in general and still not change much for Black women specifically. Naming that is not a complaint. It is precision, and precision is what lets you read a situation accurately.
What I am seeing change in 2026
A few shifts stand out this year, offered as observations rather than certainties.
Skills based hiring is gaining ground
More employers are leaning toward evaluating what you can actually do rather than only where you went to school or how many years a posting lists. Practical assessments, portfolios, and demonstrated ability are carrying more weight in some places. For people who built their skills through nontraditional paths, which describes many of us, this is a genuinely hopeful direction, because it rewards capability over pedigree.
The honest counterpoint is that skills based hiring is not evenly adopted, and an assessment can carry its own biases if it is poorly designed. So it is a real opportunity and an imperfect one at the same time.
The conversation about fairness is more contested
The broader environment around diversity efforts has grown more polarized, and that shows up in hiring. Some organizations are deepening their commitment to building teams that reflect the world. Others have grown quieter or pulled back. Both are happening at once, which means the landscape is less uniform than it was a few years ago.
What this means for you is practical. Where a company stands is now more variable and worth reading carefully, rather than assuming a single industry wide direction. The signal is in the specifics of each place, not in headlines about the field as a whole.
AI is reshaping the pipeline
Automated tools are increasingly part of how applications get screened and how some early assessments are scored. This cuts both ways. Done well, structured evaluation can reduce some of the gut feeling bias that hurts candidates who do not fit a hiring manager's mental template. Done poorly, a tool trained on a biased past can simply automate that bias at scale. As of 2026 we are living in the messy middle of that, and it is reasonable to keep a critical eye on it.
How to navigate this moment
Given all that, what do you actually do. A few things I would focus on.
Read each employer specifically
Because the landscape is uneven, the most useful skill right now is reading a specific employer rather than the industry. Look at who is actually on their teams and in their leadership. Notice whether people from varied backgrounds have grown there over time, not just been hired. Ask, in interviews, about how the team works and who has advanced. The answers, and the comfort or discomfort they produce, tell you a great deal.
Let your skills speak, and document them
In a moment that is tilting toward demonstrated ability, make your ability easy to see. A portfolio, a record of projects, a clear account of problems you have solved. This serves you regardless of which way any particular company leans, because it shifts the conversation toward what you can do.
Hold both truths
Here is the balance I try to keep, and that I would offer you. The barriers are real, and the opportunities are real. If you only see the barriers, you may not apply for things you would have gotten. If you only see the opportunities, you may be caught off guard by friction that is not your fault. Holding both keeps you moving and keeps you prepared.
What I am not going to tell you
I am not going to tell you that everything is fixed, because it is not. I am also not going to tell you the door is closed, because that is not true either, and I have watched too many Black women walk through it to believe otherwise. Where the truth sits in any given hiring process depends on the specific people and the specific place, which is exactly why reading the specifics matters more than reading the mood of the industry.
The takeaway
Intersectionality is not jargon. It is an accurate description of the experience you bring into a hiring process, and naming it helps you read that process clearly. In 2026, the most useful posture is a clear eyed one. Skills are mattering more, the fairness conversation is more contested, and automated tools are reshaping the pipeline for better and worse all at once.
None of that changes the next reachable step, which is to build real skill, make it visible, read each employer on its own terms, and keep applying. The landscape is uneven, and you can still move across it. People who look like you are doing it right now, and there is room for you among them.