Indonesia’s Personal Data Protection: From compliance to competitive advantage
The introduction of Indonesia’s Personal Data Protection Law marked the country’s first comprehensive data protection framework, setting clear rules for how personal data is collected, used, stored, and protected. While compliance is essential, experts from Altha highlight that market leaders will be those who go beyond compliance and turn data into a competitive advantage.
Indonesia is entering a new phase of digital development where personal data is no longer a byproduct of services, it is the backbone of how services run. In this phase, the winners will not be the organisations that collect the most data, but those that can turn data into value safely, consistently, and at scale.
The challenge is that data protection is often treated as paperwork: policies, consent language, and training decks. Meanwhile, the real risks and the real value sit inside day-to-day operations: fragmented systems, unclear ownership, vendor sprawl, weak recovery, and slow incident response.
A national wake-up call came in mid-2024. Reuters reported that more than 230 public agencies were impacted by a cyberattack on the country’s data centres, disrupting immigration services and airport operations for days. To make matters worse, the head of Indonesia’s cyber security agency (BSSN) stated that 98% of government data stored in one compromised data centre had not been backed up.
This is at the same time the central lesson of Personal Data Protection (PDP): security and privacy are system properties, not documents.

The Real Problem
Most organisations don’t fail PDP because they “don’t care.” They fail because their data operations grew organically. App by app, vendor by vendor, until no one can confidently answer four basic questions:
- What personal data do we have?
- Where is it stored and where does it flow?
- Who owns it and who can access it?
- How fast can we detect and recover?
If the answers to these four critical questions are unclear, Personal Data Protection becomes fragile.
And when a crisis hits, the organisation is forced to improvise under time pressure, precisely the situation the PDP Law’s 3×24-hour notification window makes unforgiving. The 2024 data centre incident is a textbook example of why “system design” matters: the disruption was not only about malware; it exposed gaps in governance and resilience, including the reported 98% unbackedup data in one compromised centre.
The Value of Data
Data creates value when it helps an organisation do at least one of the following better than before:
- Decide (analytics, forecasting, risk scoring)
- Serve (personalised, faster, more reliable customer experience)
- Protect (fraud detection, identity assurance, safer journeys)
- Automate (AI and workflow optimisation)
But the same qualities that make data valuable, namely scale, reusability, and connectivity, also amplify harm when controls are weak. That’s why the strongest PDP programmes don’t slow teams down; they make teams faster by reducing friction:
- Clear ownership reduces approval loop
- Standardised classification reduces ambiguity in sharing and retention.
- Tested recovery reduces downtime when incidents happen.
- Trust increases willingness of users/customers to engage and share data.
PDP becomes a performance system: less friction, and higher trust.
How to Protect
A strong approach is to anchor PDP in proven risk frameworks and then operationalise them in everyday workflows. A three-step approach:
1) Use a risk lifecycle that teams can run
NIST’s Cybersecurity Framework 2.0 structures cybersecurity outcomes into six functions: Govern, Identify, Protect, Detect, Respond, Recover. These functions map cleanly to what PDP needs in real operations:
- Govern: policy, accountability, third-party governance, metrics
- Identify: data inventory, classification, critical systems, dependencies
- Protect: access control, encryption, secure development, minimisation
- Detect: logging, anomaly detection, monitoring, alerting
- Respond: incident playbooks, escalation paths, legal/comms readiness
- Recover: backups, recovery testing, business continuity, lessons learned
2) Bring privacy risk to the same level as cyber risk
NIST’s Privacy Framework is designed to help organisations build privacy foundations through enterprise risk management – not just legal compliance. It is particularly useful for turning “privacy principles” into repeatable processes (e.g., data minimisation, consent management, and downstream sharing controls).
3) Implement governance as a management system, not a one-off project
ISO/IEC 27001 is widely recognised as a standard for Information Security Management Systems (ISMS) and defines the requirements an ISMS must meet. With an ISMS approach, controls do not depend on a few individuals and instead become embedded in how the organisation operates.

A Practical PDP Playbook
Having successfully supported numerous clients across Indonesia with becoming compliant for the Personal Data Protection Law, at Altha we have developed a practical PDP playbook. Its five main pillars are:
1) Data foundation: “make the invisible visible”
- Build a minimum viable data inventory: top systems holding the most personal data and highest risk.
- Classify personal data (e.g., general vs sensitive) and map key flows (internal & vendors).
- Define retention and deletion triggers (so “delete” is possible, not theoretical).
2) Accountability: “make ownership real”
- Assign data owners for critical domains (customer, employee, patient, citizen, etc.)
- Establish RACI for processing decisions, approvals, and incident response.
- Ensure the “privacy function” can actually intervene when risk is high.
3) Control stack: “risk-based, not one-size-fits-all”
- Strong authentication and least-privilege access for systems with personal data.
- Encryption where appropriate (at rest/in transit), secure configuration baselines, and key management.
- Vendor controls: access boundaries, auditability, and exit plans.
4) Incident readiness: “win the 3×24-hour race”
The PDP Law’s 3×24-hour breach notification requirement is a forcing function: you either have a playbook, or you scramble. Minimum readiness includes:
- Centralized logging for key systems
- An incident severity matrix
- Notification templates and decision trees
- A single owner of “breach clock management”
5) Resilience: “assume failure; design recovery”
If you cannot restore data and services quickly, you cannot protect users. The 2024 incident highlights how damaging weak backup practices can be – including the reported 98% data not backed up in one compromised data centre.
Key practices include maintaining immutable or offline backups where possible, conducting regular restore drills rather than relying solely on backup jobs, and defining clear RTO and RPO targets for critical services.
Building Trust in Digital Adoption
Indonesia’s next chapter of digital growth will be written not only in product features and platform adoption, but in whether citizens, customers, and partners believe their data is handled safely and fairly.
The PDP Law defines the destination – from time-bound breach notification to administrative sanctions and the establishment of a supervisory institution. The operational challenge is building the system that can deliver that promise every day, even under stress.

