Verified CISO reviews
Every review is tied to an authenticated security leader through a verification workflow – no fake reviews, no vendor manipulation.
Case Study · Cybersecurity SaaS Cybersecurity / B2B SaaS
CyberFind – The trusted decision engine for security leaders
A peer-review and comparison platform where verified CISOs evaluate Security Awareness Training and Human Risk Management vendors – replacing months of vendor calls with days of evidence-based shortlisting.
Industry
Cybersecurity · Vendor intelligence
Audience
CISOs & security leaders worldwide
Platform
Next.js + Node.js SaaS with Python data services
Engagement
Discovery → MVP → Continuous product development
Key outcome
500+ verified CISOs, 2,000+ peer reviews on the platform
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CyberFind – Vendor Decision Engine for CISOs Global (Remote collaboration)
About the client & context
About the client
CyberFind set out to fix a painful, expensive problem in enterprise security: choosing the right Security Awareness Training and Human Risk Management vendor. Security leaders were relying on analyst paywalls, vendor marketing and cold outreach – with no trusted place to hear how solutions actually performed for peers.
The founding team envisioned a "decision engine" built on verified peer evidence: real CISOs, real deployments, real outcome data. They needed a product partner who could design and build the full platform – review verification workflows, vendor profiles, comparison tooling and a data pipeline to keep vendor information current – and evolve it quickly as the CISO community grew.
Cybersecurity / B2B SaaS Global (Remote collaboration)
The challenge
The challenge
Before CyberFind
Vendor selection in the security awareness space took security teams months: demo cycles with a dozen vendors, reference calls arranged by the vendors themselves, and review sites where authenticity was impossible to verify. CyberFind needed a platform where trust was engineered in – not promised.
This is often the point where generic tools and makeshift processes start to slow down growth. Our first step is to map the real-world workflows and understand where time is lost, where mistakes happen and what is blocking the team from scaling with confidence.
Goals & success criteria
Project goals & success criteria
Clear goals upfront help us make intentional trade-offs during UX and engineering, and define what “successful launch” actually means for the client team.
Business goals
Why the project matters to the businessBecome the trusted, peer-driven starting point for Security Awareness Training and HRM vendor selection.
Grow a verified community of security leaders contributing reviews and outcome data.
Cut typical vendor shortlisting time from months to days for platform users.
Build a data asset – structured vendor and outcome information – that compounds in value.
Product & technical goals
How we translate goals into product & architectureDesign a review submission and verification flow that respects a CISO’s time.
Model vendors, scenarios and outcome metrics so comparisons are meaningful, not marketing.
Build fast, SEO-friendly vendor and category pages on Next.js for organic discovery.
Separate concerns cleanly: Next.js frontend, Node.js product APIs and Python services for data aggregation and enrichment.
Rollout approach
We agreed to launch with a focused core – verified reviews, vendor profiles and comparison – and expand into deeper analytics and community features once real CISOs were active on the platform.
Our solution
Our solution
QalbIT designed and built CyberFind as a modern, multi-service SaaS platform: a polished Next.js experience for security leaders, Node.js APIs powering reviews, profiles and comparisons, and Python services handling vendor data aggregation and review-verification support.
We started with discovery around the two personas – the CISO researching vendors and the security leader contributing reviews – and designed flows that make both fast and credible. Vendor profiles combine curated information with structured peer feedback and outcome metrics. The comparison engine lets users shortlist side by side, filtered by industry, company size, compliance requirements and integrations. Behind the scenes, Python pipelines keep vendor data fresh and support the verification workflow that gives every review its credibility.
Product features & UX
Key product features & UX highlights
Everything a security leader needs to move from long vendor lists to a confident, evidence-based shortlist.
Outcome metrics
Structured data on behaviour change, engagement rates and ROI, so vendors are compared on results rather than feature lists.
Side-by-side comparison
Shortlist vendors and compare capabilities, outcomes and peer sentiment in a single view.
Advanced filtering
Narrow 50+ solutions by industry, company size, compliance requirements and integration needs in seconds.
Curated vendor profiles
Rich, consistently structured profiles kept current with the help of automated Python data aggregation.
Scenario-based feedback
Reviews capture the deployment context – rollout size, industry, use case – so readers can find feedback from peers like them.
CISO community layer
A growing network of 500+ verified security professionals whose collective experience powers the platform.
Fast, SEO-friendly frontend
Next.js rendering keeps category and vendor pages fast and discoverable – organic search is a core acquisition channel.
Each feature is designed to slot into the team's existing workflows – with just enough structure to reduce errors, but not so much friction that adoption becomes a struggle.
Architecture & stack
Architecture & technology stack
The technology stack is deliberately simple, maintainable and aligned with the team's long-term roadmap — powerful enough for today's needs without locking the product into unnecessary complexity.
Backend & data services
Reliability, security & maintainabilityNode.js API layer powering reviews, vendor profiles, comparisons and user accounts.
Python services for vendor data aggregation, enrichment and review-verification support.
PostgreSQL as the system of record for vendors, reviews, outcomes and users.
Role-based access control separating members, contributors and administrators.
Clean service boundaries so product APIs and data pipelines evolve independently.
Frontend & UX
Clarity, speed & accessibilityNext.js (React) frontend with server-side rendering for speed and SEO.
A trust-first visual language: metrics, verification badges and structured data up front.
Reusable comparison, filtering and review components.
Responsive layouts for research at the desk and quick checks on mobile.
Next.js React Node.js Python PostgreSQL REST APIs
We favour stacks that your in-house team or future partners can understand and extend — with clear boundaries between frontend, backend and integrations so the product can evolve without constant rewrites.
Delivery process & collaboration
Delivery process & collaboration
We favour a transparent, iterative delivery model with enough structure to keep momentum, and enough flexibility to adjust as we learn from real usage.
- 01
Discovery & data modelling
2–3 weeksPersona workshops with the founding team, competitive teardown of review platforms, and modelling of vendors, scenarios and outcome metrics.
- 02
UX flows & interface design
2–3 weeksDesign of the research journey (discover → filter → compare → decide) and the contributor journey (verify → review), with a trust-first UI system.
- 03
MVP development
8–10 weeksIncremental delivery of the Next.js frontend, Node.js APIs and first Python aggregation pipelines, with weekly demos and course corrections.
- 04
Verified community launch
2–3 weeksOnboarding the first wave of verified CISOs, hardening the verification workflow and tuning performance ahead of public visibility.
- 05
Continuous product development
OngoingIterating on comparison tooling, outcome analytics and community features as the review base and vendor coverage grow.
Each step includes regular demos, async updates and clear ownership so both teams know what is happening, what is blocked and what is coming next.
Results & impact
Results & impact
From an idea about trustworthy vendor selection to a growing decision engine for the security community.
Verified community
500+ verified CISOs
Every reviewer authenticated as a real security leader.
Peer evidence base
2,000+ peer reviews
Scenario-based, structured feedback across the vendor landscape.
Vendor coverage
50+ curated solutions
Security Awareness Training and Human Risk Management vendors, kept current by automated pipelines.
User satisfaction
95% would recommend
CISOs who would recommend CyberFind to a peer.
Even when exact numbers are directional, we anchor results to the original project goals so stakeholders can clearly see what changed after launch.
Story behind the numbers
CyberFind now gives security leaders what the space was missing: a trusted, evidence-first way to choose vendors. Shortlisting that used to take months of calls happens in days, backed by verified peer experience and outcome data. The Next.js + Node.js + Python architecture keeps the platform fast for readers, credible for contributors and ready for the analytics and community features on the roadmap.
“ Client perspective
“QalbIT took our idea of a trusted, peer-driven vendor platform and turned it into a product security leaders genuinely rely on. They understood that credibility had to be engineered into every flow – from review verification to how outcome data is presented – and delivered a platform we can keep building on.”
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