Five Ways a PDPL Program Goes Wrong — Before It Even Starts
Saudi Arabia's PDPL follows the global pattern set by GDPR — and inherits its most common, most avoidable early mistakes. The opening note in our Eye on PDPL series.
Saudi Arabia's Personal Data Protection Law did not arrive in a vacuum. It follows the global pattern set by GDPR, places strict obligations on any organisation that collects, processes or handles personal data, and — crucially — it inherits GDPR's most common implementation mistakes too. For the many Saudi organisations that never had to comply with a privacy regime before, those mistakes are entirely avoidable, but only if you can see them coming.
This is the opening note in our Eye on PDPL series. Before the deep technical work, here are the five pitfalls we most often watch clients walk into — and how to step around each one at the start.
The five pitfalls
- A checkbox mentality. PDPL is not a one-time implementation you can certify and forget. It demands ongoing adherence to functional and technical requirements; treating it as a project with an end date is the first and most expensive mistake.
- Not fully comprehending the law. Partial understanding produces misinterpretation and incomplete effort. Detailed Data Privacy Impact Assessments — ideally guided by experienced external eyes — are how you replace assumptions with facts.
- Mishandling supporting technology. Too little attention leaves you unable to operationalise the law; too much turns privacy into a tooling project that forgets its own purpose. The technology serves the programme, not the reverse.
- Engaging the wrong consultants. Privacy expertise is specific. A generalist or a one-size-fits-all mindset leads teams to neglect the elements of PDPL that don't fit the template — and the elements you neglect are exactly the ones that bite.
- Refusing to be agile. Classic waterfall delivery cannot keep pace with a regulation and a business that both keep moving. Concurrent workstreams, flexibility and responsiveness are not nice-to-haves here.
The thread running through all five
Notice what connects them. Every one of these pitfalls is, at bottom, a failure to treat privacy as a living capability rather than a finite task. The checkbox mentality, the shallow reading of the law, the waterfall plan — they are all the same instinct: do it once, declare victory, move on.
PDPL mandates the opposite. It rewards organisations that build a programme flexible enough to adapt as guidance evolves, deep enough to understand why each requirement exists, and collaborative enough to keep the business and its data leaders genuinely engaged. Start there, and the technical work that follows has somewhere solid to stand.
In the next issues of Eye on PDPL we get specific — the definitions that trip teams up, the findings buried in SDAIA's own guide, and the framework that ties a whole programme together.