India has shown that digital transformation can reach extraordinary scale. Gulf states are showing how quickly national ambition can become digital reality. The next question is harder: Can the systems we are building earn the confidence of the people who depend on them?
Before most of us have properly begun the day, we have already entrusted part of our lives to systems we cannot see.
We unlock a phone with our face. We move money without touching cash. We share our location with an application. We check a bank balance we assume is accurate. We upload an identity document to a government portal.
Increasingly, we ask an artificial-intelligence system not only to write or analyse, but to recommend, decide and act.
We rarely inspect what happens underneath. We simply proceed.
That ordinary behaviour rests on something extraordinary: the belief that the system will recognise us correctly, handle our information responsibly, give us an honest result and remain answerable when it does not.
That belief is “Trust” or “Digital Trust”.
For much of the past two decades, India and the Gulf have concentrated on building digital infrastructure. India has demonstrated extraordinary population scale. Gulf states have shown how quickly national ambition can become programmes, platforms and institutions.
The more difficult question now is whether trust is keeping pace.
India has answered the scale question
India’s digital journey is often told through numbers, and some numbers are unavoidable.
More than 145 crore Aadhaar numbers have been generated. In September 2026 alone, the Unified Payments Interface processed more than 24 billion transactions.
Aadhaar and UPI perform different functionsdigital identity and paymentsand neither should be treated as shorthand for the whole of India’s digital public infrastructure. Together, however, they show what happens when reusable digital foundations enter everyday life at enormous scale.
Their deepest achievement may be how little attention successful transactions demand.
People notice that a payment went through, an identity was verified or a service became easier to reach. They do not usually notice the infrastructure that made it possible.
India has therefore answered one of the defining questions of the first digital era:
Can digital infrastructure work at extraordinary population scale?
Increasingly, yes.
But usage alone does not prove trust.
People may adopt a service because it is convenient, widely accepted, required or simply better than the available alternatives. Transaction volumes tell us that a system is heavily used. They do not tell us everything about how secure, fair or empowering people believe it to be.
The harder question is whether trust can scale alongside use.
Because scale magnifies everything.
It magnifies access, convenience and opportunity. It also magnifies outages, errors, exclusion, misuse and the consequences of weak accountability.
At population scale, privacy, cybersecurity, resilience and the ability to challenge mistakes are not supporting features.
They are part of the infrastructure itself.
Privacy is where Trust begins
India’s Digital Personal Data Protection Act was enacted in 2023. The final Rules were notified in November 2025, with implementation deliberately phased rather than all substantive obligations taking effect at once.
That is an important step in India’s data-protection journey.
But privacy is a beginning, not an endpoint.
A privacy framework can establish how personal information should be collected and used. It cannot, by itself, make the underlying system secure, make poor-quality data reliable, explain an automated decision or keep an essential service available during disruption.
This is why the conversation must move one level higher.
For years, organisations asked:
- What data are we allowed to collect?
A more mature question is:
- What right have we earned to use it?
People want to know why information is needed, who can access it, what decisions it will influence and what happens when something goes wrong. They want to know whether a concern will reach someone with the authorityand the willingnessto act.
Those are privacy questions& They are also trust questions.
Compliance matters because it establishes a baseline. But compliance and trust are not the same thing.
- A system may be secure and still feel untrustworthy.
- A service may satisfy regulatory requirements and remain opaque.
- An algorithm may be accurate on average and still leave an individual unable to understand an important decision.
- A company may pass an audit and still respond poorly when a customer needs help.
Trust is the judgement people form from experience.
- A customer does not experience our policies.
- A citizen does not experience our control framework.
- A person experiences the service.
They experience whether it works, whether their information is handled with care, whether an important decision can be questioned and whether someone accepts responsibility when the system fails.
That is where Digital Trust lives.
The Gulf or GCC Countriesare moving at Speed
The Gulf’s digital transformation has a different character.
Across the region, governments are investing in artificial intelligence, cloud infrastructure, cybersecurity, digital services and new technology industries. National ambitions are often converted into visible programmes with remarkable speed.
Yet the Gulf Cooperation Council (GCC) countries do not follow a single model of digital governance.
Kuwait, Saudi Arabia, the United Arab Emirates, Bahrain, Qatar and Oman have different laws, institutions, economic structures and priorities. They are not all moving at the same pace, nor are they following the same regulatory path.That diversity is not necessarily a weakness.
It means the region is exploring several answers to a common question:
How do you move quickly without leaving trust behind?
My own view of that question has been shaped by working across India and Kuwait.
India taught me to think about scale. Kuwait taught me to think about proximity.
In Kuwait, regulators, banks, government institutions, large enterprises, telecommunications providers and technology professionals operate within a comparatively connected ecosystem.
Governance can still be complex. But collaboration can become practical because many of the people shaping, operating and overseeing digital systems are not far removed from one another.
Two developments illustrate the direction of travel.
CITRA’s Decision No. 26 of 2024 introduced the current Data Privacy Protection Regulation and replaced the earlier 2021 decision. In the financial sector, the Central Bank of Kuwait’s 2025 Cyber and Operational Resilience Framework explicitly moves beyond foundational cybersecurity compliance towards a resilience- and maturity-oriented approach.
The shift matters because cybersecurity traditionally asked:
Have we put the right controls in place?
Resilience asks:
Can we continue to protect and serve people when those controls are tested?
That question is much closer to trust.
What failure reveals
Even the most robust systems cannot be guaranteed to operate without failure.
A cyberattack may succeed. A cloud platform may become unavailable. A supplier may break an essential dependency. A person may make a mistake. An AI system may reach the wrong conclusion.
Trust is not a promise that the difficult day will never arrive.
It is the confidence that responsibility will.
- When something fails, does the organisation respond quickly?
- Does it communicate honestly?
- Does it protect those affected?
- Can it recover?
- Does it learn?
- Does someone remain answerable from beginning to end?
A certificate can tell us what has been designed to exist.
A difficult day reveals what has become real.
That is why resilience is not merely the ability to restore technology. It is the ability to preserve service, judgement, communication and accountability under pressure.
Artificial Intelligence (AI) raises the stakes
Artificial intelligence changes the trust equation because technology is no longer only storing, retrieving and moving information.
It is interpreting, recommending, generating, predicting and, increasingly, acting across other systems.
The risk is not that every AI system is autonomous or that every mistake becomes catastrophic.The risk is more ordinary.
People may rely on an output without understanding its limits. Organisations may automate a decision without clarifying who owns the consequences. An AI agent may take an action that is difficult to explain or reverse.
When AI influences access to credit, employment, insurance, healthcare or public services, the question is no longer only:
Is my information secure?
It becomes:
Can I understand and challenge what the system is doing?
And then:
Who remains responsible when it gets it wrong?
We cannot assign moral responsibility to a model.
Accountability must remain with the people and institutions that choose how the technology is designed, approved, deployed and used.
That is why AI governance mattersnot because every organisation needs another committee or a huge policy, but because greater technological power requires clearer human responsibility.
Accountability cannot be coded into a model; it must remain with the people who build, deploy and govern it.
It has to remain attached to the people behind it.
Five questions every person should be able to ask
Digital Trust can easily disappear beneath specialist language.
Yet the disciplines behind it can be translated into five questions almost anyone can understand.
- Is it secure?
Can someone steal, manipulate or misuse it?
- Will it respect me and my information?
Do I understand what is being collected, why it is needed and how it may affect me?
- Will it workand recoverwhen I need it?
Can I rely on the service, including when something goes wrong?
- Can I understand and challenge an important decision?
If technology affects my money, employment, health or rights, can I obtain a meaningful explanation and seek correction?
Who will answer if harm occurs?
Is there a person or institution with the authority to investigate, act and make things right?
These questions are not a new theory. They are a human translation of established disciplines in security, privacy, resilience, explainability, redress and governance.
People should not need to understand regulatory language, artificial-intelligence terminology or international standards before they can judge whether a service deserves their confidence.
People are part of the trust infrastructure
Cybersecurity repeatedly teaches us that eventually every framework reaches a human decision.
- A developer decides whether questionable data is good enough to use.
- A manager decides whether a risk should be escalated.
- A board decides whether to challenge an attractive technology investment.
- An employee decides whether to trust a suspicious request.
- A citizen decides whether to continue using a service after it has failed.
Technology can strengthen those decisions. It cannot remove the need for judgement.
That is why digital literacy, privacy awareness, cybersecurity awareness and AI literacy are essential capabilities, not optional additions.
They shape whether people understand what they are approving, sharing, deploying and depending upon.
People are not outside the trust infrastructure. They are the part that gives it judgement.
From technology exchange to trust-building
India and the Gulf are already deeply connected through trade, investment, energy, technology, businesses, professionals and families.
Technology crosses these borders. Data crosses them. AI systems and services increasingly will.
Trust, however, cannot be imported.
It must be earned locally, in the language, institutions and experience of the people being asked to rely on a system.
But the disciplines that help create trust can travel.
India can share lessons from interoperability, engineering at scale and digital public infrastructure.
Gulf states can share experience in coordinated execution, investment, sovereign capabilities and the rapid development of digital institutions.
Kuwait can contribute a practical perspective from an environment in which enterprise, financial-sector, regulatory and technology communities operate in close proximity.
What should move between these ecosystems are not slogans, but practices: secure design, interoperable standards, professional skills, resilience exercises, incident learning, assurance methods and honest accounts of what did not work.
The opportunity is not to transplant one country’s model into another.
It is to learn faster together while allowing trust to be earned in context.
The next measure of digital progress
For years, we have measured digital transformation by applications launched, transactions processed, platforms built and AI systems deployed.
Those measures still matter.
But they are no longer enough.
- A digital service can be fast and unreliable.
- An AI system can be powerful and difficult to govern.
- A government portal can be efficient while leaving a citizen feeling powerless.
- A company can be compliant and still lose the confidence of its customers.
The next competitive advantage of a digital economy may therefore be not simply its ability to deploy technology, but its ability to deploy technology that people can depend upon, understand and challenge.
- India has shown what digital transformation can achieve at extraordinary scale.
- Gulf states are showing how quickly national transformation can move.
- Kuwait can add a valuable voice through connected, practical governance.
The next stage is not simply about building more systems. It is about making those systems worthy of the lives increasingly organised around them.
- Technology can be installed.
- Regulation can be written.
- Controls can be audited.
But trust can only be experienced.
And perhaps that is the most human measure of digital progress:
not how much technology can do, but how confidently people can live with what it does.
Authored by Dr. Rishabh R. Gaikwad, Head of Information Security, Data Governance & AI Program, Alghanim Industries
