About the company
An IT company named after a principle.
White hat is an engineering organisation working across software, security, cloud and infrastructure. We exist to make technical systems dependable, understandable and defensible for the organisations that own them.
Company overview
White hat provides software development, cybersecurity, cloud architecture, network engineering, data solutions and managed IT services. Our engagements range from focused technical reviews to multi-year ownership of platforms that a business runs on.
We are deliberately structured as a single engineering practice rather than a set of separate departments. An application decision affects the platform it runs on; a network decision affects how a service can be secured. Keeping those disciplines together avoids the gaps where most operational failures actually originate.
Our clients are organisations that treat technology as core infrastructure: systems that must keep running, keep data protected and keep changing safely over years.
Mission
To build technology that behaves predictably under pressure.
We deliver systems that remain secure, observable and maintainable long after launch, and we give the organisations we work with an accurate understanding of what they own.
Vision
Security and clarity as the normal condition of business technology.
We want undocumented environments, unmanaged access and unverified backups to be the exception rather than the quiet default in the organisations we work with.
The name
Why the company is called White hat
In security, a white hat applies offensive knowledge defensively and with permission. The same expertise that can be used to compromise a system is used to understand it, harden it and report honestly on what was found.
We chose the name because it describes the working posture we expect from every engagement: examine systems the way an adversary would, act only within agreed boundaries, and disclose findings openly — including the uncomfortable ones.
It also sets an obligation. A company that takes that name cannot quietly ignore a weakness because reporting it is inconvenient.
Company values
- Honesty about risk
- Clients are told what is fragile, what is unsupported and what would happen if it failed.
- Engineering discipline
- Reviewed changes, tested recovery, documented architecture — applied consistently.
- Respect for constraints
- Budgets, existing skills and legacy systems are treated as design inputs, not obstacles.
- Independence of judgement
- Recommendations follow technical merit rather than the easiest sale.
- Durable knowledge
- Everything we learn about a system is written down and handed over.
Technical philosophy
Prefer the system that can be explained.
Complexity is only justified when it removes a real problem. We favour architectures that a competent engineer can understand from documentation, reproduce from source control and reason about during an incident at an inconvenient hour.
- Boring, well-supported technology over unproven novelty.
- Explicit boundaries between components instead of implicit coupling.
- Automation for anything repeated, with the automation itself reviewed.
- Observability designed at the same time as functionality.
- Reversibility: every significant change has a defined way back.
Security and responsible technology
Capability used within clear boundaries.
Authorised work only
Security testing and access to systems happen under written agreement and defined scope.
Data minimisation
We ask for the least access and the least data required to do the work correctly.
Responsible disclosure
Weaknesses found during any engagement are reported directly and promptly to the owner.
Team culture
Small teams, written thinking, shared ownership.
Our teams stay small and stable so context is not lost between phases. Decisions are written before they are implemented, which makes them reviewable by colleagues and understandable by clients.
Engineers are expected to raise concerns early, including about their own work. A culture that treats an inconvenient finding as useful information is a prerequisite for building systems people can trust.
Knowledge sharing is structured: internal reviews, documented incident learnings and deliberate rotation across disciplines so no system depends on one person's memory.
Quality standards
01
Definition of done
Includes tests, documentation, monitoring and an operational handover — not only working code.
02
Peer review
Every change to code or infrastructure is read by another engineer before it ships.
03
Traceability
Releases can be tied to specific changes, approvals and reasons.
04
Post-release verification
Behaviour in production is checked against expectations, and deviations are investigated.
Long-term goals
Where the company is heading.
Deepen security engineering
Continue expanding capability in secure architecture, detection design and recovery readiness.
Strengthen platform practice
Standardise reusable, well-documented foundations for cloud and network estates.
Invest in operational maturity
Improve measurement of reliability so improvement is evidence-based.
Sustain client independence
Ensure every client can operate or transfer what we build without being locked to us.
Our commitment to transparency, reliability and ethical IT practice
Transparency
Scope, progress, limitations and cost drivers are communicated in writing, in plain language.
Reliability
We commit to what we can deliver and we maintain what we have delivered.
Ethical practice
We work within authorisation, protect the data we are trusted with and refuse work that would compromise that standard.
White hat · whitehatnetwork.com · mulderruben50@gmail.com