Security Incidents Don't Discriminate
Cyber incidents happen to well-resourced institutions. What separates the strongest from the weakest isn't budget - it's how security is built into the software development lifecycle.

In 2016, attackers stole $81 million from the Bangladesh central bank by compromising its SWIFT messaging system. In 2021, the Reserve Bank of New Zealand was breached through a third-party file sharing service. In 2023, the Danish central bank's network was compromised as part of a coordinated global campaign targeting financial infrastructure. These are not small institutions with small budgets. They are among the most resourced organisations in their respective countries.
Cyber incidents happen to well-run institutions. That is not an excuse for poor security practice. It is context that matters when thinking about what good security posture actually looks like and what it takes to build it.
Security is not a product you buy
The most common misconception about cybersecurity is that it is a layer you add on top of a system. Buy a firewall, install antivirus software, run a penetration test once a year, tick the box. This model has been failing organisations for thirty years.
Security built this way is porous because it treats protection as a perimeter problem. The assumption is that threats come from outside and that if you build a wall high enough, you are safe. Modern attacks do not work like that. They exploit misconfigured cloud storage, unpatched dependencies, compromised credentials, third-party integrations with excessive access, and staff who click on convincing phishing emails. A firewall does not stop any of these.
The organisations with the strongest security posture are the ones that build security into how they develop software, not into what sits in front of it.
What security looks like in a modern SDLC
SDLC stands for Software Development Lifecycle. It is the process by which software is designed, built, tested, deployed, and maintained. Building security into the SDLC means security considerations are present at every stage, not added at the end.
In practice this means threat modelling happens during design, before a single line of code is written. Developers use static analysis tools that flag insecure code patterns as they write. Dependencies are tracked and automatically flagged when known vulnerabilities are published. Secrets management means API keys and credentials are never hardcoded in source code. Every code change goes through peer review with security as an explicit part of the checklist. Automated security scanning runs on every deployment pipeline. Production systems are monitored continuously, and anomalous behaviour triggers an alert, not a morning discovery.
Regulatory compliance frameworks like ISO 27001 provide a structure for all of this. ISO 27001 is not a technical standard in the sense that it tells you which software to use. It is a risk management framework that requires organisations to identify their information assets, assess the risks to those assets, implement controls proportionate to those risks, and review everything on a defined schedule. When applied properly it creates a culture of security awareness, not just a set of documents.
The gap between passing an ISO 27001 audit and actually being secure is real and worth acknowledging. Compliance is a floor, not a ceiling. But for institutions that are starting from a low baseline, the discipline that comes from pursuing the standard seriously accelerates security maturity faster than any other single intervention.
What experience in this space looks like
At LeptisCode we have direct experience building and securing software in regulated environments. Our team has worked in financial services, healthcare, and enterprise SaaS, industries where a security incident carries regulatory, financial, and reputational consequences that focus the mind.
That experience shapes how we build. Threat modelling is part of our design process. We implement secrets management, dependency scanning, and automated security testing as standard. We have worked within ISO 27001 and ISO 27701 frameworks and know the difference between compliance as paperwork and compliance as practice. We have also built AI-powered tooling to automate parts of the compliance monitoring process, including agents that track CVEs and security advisories against a specific technology stack and surface the ones that require action.
For Libyan financial institutions, the threat environment is the same as it is everywhere. Attackers do not distinguish by geography. What differs is the maturity of the defences and the speed at which gaps can be closed when something goes wrong.
Building that maturity is not a one-time project. It is an ongoing engineering discipline. The institutions that will be best positioned in five years are the ones that start treating security as part of how they build software today.
If your organisation is thinking about how to strengthen its security posture through better engineering practice, we are glad to have that conversation.