They should seek out people who are already doing the work they want to do, ask questions early, and use mentorship to test assumptions. Networking helps convert curiosity into informed decisions, especially in technical fields that can feel closed off. Supportive communities also make it easier to keep learning without losing momentum.
Building Confidence in a Field That Still Feels Closed Off
Confidence for women entering tech usually grows faster when it is built on context, repetition, and visible proof of progress rather than on waiting to “feel ready.” The strongest support networks are the ones that help translate uncertainty into action: people who explain how they learned, where they struggled, and what standards matter in real work. That matters because technical cultures can reward insider knowledge and make beginners overestimate how much they should already know.
Good networks also reduce the isolation that often makes early-career decisions feel higher stakes than they are. A useful community does not just encourage; it gives comparison points, practical feedback, and honest calibration about what competence looks like at each stage. The challenge is less about finding a crowd and more about finding people whose advice is specific enough to be useful.
In practice, many people lose momentum not because they lack ability, but because they try to build confidence without a reference group that shows what normal learning progress actually looks like.
How to Find the Right People and Use Them Well
The most effective support network is usually a mix of mentors, peers, and role models rather than one perfect person. Mentors help test assumptions about career paths, job expectations, and technical growth. Peers help with day-to-day encouragement and reality checks. Role models help make the next step feel possible by showing what success can look like in different forms.
It helps to approach networking with a clear purpose. Instead of asking only for generic advice, ask people how they made decisions, what they wish they had known earlier, and which skills mattered most in practice. That produces better insight and also makes conversations easier to sustain. Confidence tends to grow when questions are specific enough to generate usable answers.
For women entering tech, support networks work best when they are intentional about inclusion and practical value. A group that normalises questions, shares opportunities, and gives feedback on real work can be more useful than a large but passive community. If a workplace or community makes it difficult to ask basic questions without penalty, that is a signal about culture, not about personal capability.
One relevant indicator of the broader confidence gap in technical environments is that only 19.6% of security professionals express strong confidence in their organisation’s ability to securely manage non-human workload identities, according to The 2024 Non-Human Identity Security Report. The point is not the topic itself, but the pattern: even skilled teams often operate with uncertainty until they have better models, clearer examples, and shared language.
- Choose at least one person who has done the role you want, not just someone with general encouragement.
- Ask for one concrete example, one caution, and one next step in each conversation.
- Prefer communities where people share process and trade-offs, not just outcomes.
- Use early questions to reduce guesswork; that is often more valuable than waiting until you can “sound expert.”
These networks break down when they stay purely aspirational, because encouragement without specific guidance rarely changes how someone navigates the next decision.
What to Look For in a Support Network That Actually Helps
Tighter professional circles can increase access, but they also create the risk of conformity, so the best network balances belonging with honest challenge. A useful support system should make it easier to keep learning without demanding that you already know the unwritten rules.
Look for signs that the group offers both emotional support and practical usefulness. That means people answer questions directly, share context about mistakes, and respect the fact that confidence is often built through small wins. It also means they do not treat uncertainty as weakness. In many cases, the most helpful network is the one that makes it normal to be in the middle of the learning curve.
There is no universal standard for this yet, but current guidance suggests that the right network is the one that improves decision quality, not just motivation. If a community leaves you feeling included but still unable to act, it may not be giving the kind of support that matters most. If it helps you make clearer choices, challenge assumptions, and keep moving, it is doing its job.
Practitioner Guidance: Prioritise small, repeatable sources of support over highly polished but distant networks; consistency matters more than prestige.
What to verify: Before relying on a community or mentor, check whether they can give specific examples, name trade-offs, and respond to early-stage questions without dismissiveness.
What practitioners underestimate: Confidence is often a lagging indicator of exposure and feedback, so the right network is one that shortens the distance between curiosity and usable evidence.
Practitioner takeaway: The best support network does not tell someone they belong in tech; it helps them build enough evidence, language, and momentum to act like they do.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
NIST CSF 2.0, CIS Controls v8 and NIST AI RMF set the technical controls, while ISO/IEC 42001:2023 define the regulatory obligations.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | ID.GV — Governance | Supports establishing clear expectations and support structures for tech growth. |
| ID.RA — Risk Assessment | Applies to assessing confidence gaps and culture risks that hinder progress. | |
| Recommendation — Set governance for mentorship, sponsorship, and inclusion pathways. Assess cultural barriers that reduce confidence and slow skill development. | ||
| CIS Controls v8 | 14 — Security Awareness and Skills Training | Relevant to building practical capability and peer learning in technical environments. |
| Recommendation — Deliver role-relevant learning that builds competence through practice. | ||
| ISO/IEC 42001:2023 | 7 — Support | Covers the need for organisational support, capability building, and guidance. |
| Recommendation — Provide structured support that helps people learn and ask questions. | ||
| NIST AI RMF | GOVERN — Govern | Useful where tech entrants need trusted governance and decision clarity in AI-heavy roles. |
| Recommendation — Establish accountable guidance for learning paths and role expectations. | ||
Related resources from NHI Mgmt Group
- How should teams build confidence in high-stakes operational roles?
- How do localisation and right-to-left support affect identity security?
- When should operators trust a digital twin enough to support autonomous network operations?
- How should SOC teams use correlated endpoint and network telemetry without creating false confidence?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on September 8, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org