

Identifying and classifying personal data processing activities that present a risk of harm to the rights of data subjects, including automated and AI-assisted processing.
Implementing proportionate privacy and data protection risk controls aligned to PDPA requirements, covering consent, purpose limitation, data minimisation, and safeguards.
Supporting the creation and maintenance of required compliance artefacts, including processing records, risk assessments, and documentation needed to demonstrate compliance to the Data Protection Authority
Embedding governance mechanisms that combine automated controls with human oversight, enabling transparent decision-making, accountable processing, and responsible use of data and AI across the organisation
Explore key events, celebrations, and memorable moments that reflect our values, strengthen collaboration, and showcase the journey of growth, teamwork, and progress that continues to shape who we are.

Xapi participated as the Official Symposium Partner, engaging with leaders from law, technology, and business to advance dialogue on PDPA compliance, data governance, and responsible innovation, alongside the Bar Association of Sri Lanka and the Computer Society of Sri Lanka.

Xapi participated as the Official Symposium Partner, engaging with leaders from law, technology, and business to advance dialogue on PDPA compliance, data governance, and responsible innovation, alongside the Bar Association of Sri Lanka and the Computer Society of Sri Lanka.

The Personal Data Protection Act (PDPA) is Sri Lanka’s national data protection law that establishes clear obligations around how organisations collect, process, store, and transfer personal data. The Act introduces requirements covering data subject rights, lawful processing, risk management, accountability, and regulatory oversight for any organisation processing personal data in Sri Lanka, or processing the personal data of individuals in Sri Lanka.
The PDPA applies across industries and technologies, including digital platforms and AI-enabled systems, and places specific emphasis on managing risks that may affect the rights and freedoms of data subjects.
With the PDPA now in force and enforcement timelines underway, organisations are expected to demonstrate maturity through documented controls, governance processes, and the ability to respond effectively to regulatory inquiries.
Xapi enables organisations to operationalise PDPA requirements by embedding governance, risk management, and compliance controls directly into data, API, and AI workflows, helping teams move from awareness to demonstrable compliance.
Use our free PDPA maturity assessment to understand how prepared your organisation is to meet the requirements of Sri Lanka’s Personal Data Protection Act. The assessment highlights gaps across digital governance, risk management, and operational controls, and provides a clear view of your company’s PDPA compliance maturity.

Xapi enables organisations to operationalise Sri Lanka’s PDPA by turning statutory obligations into structured, enforceable, and auditable governance processes. Instead of treating PDPA as a documentation exercise, Xapi provides a unified control layer that helps organisations identify where personal data exists, ensure lawful purpose and consent, manage data subject rights, conduct DPIAs, and maintain regulator-ready evidence. This allows organisations to progress from reactive compliance to proactive, continuous PDPA governance, including readiness for AI-driven processing and cross-border data transfers.
Establishing governance and accountability under PDPA through clear data ownership, approval workflows, and traceability
Enabling comprehensive data inventory and data flow mapping in line with PDPA and Schedule V
Supporting lawful basis and purpose limitation controls to prevent purpose drift (Schedules I–IV)
Assisting with data minimisation and classification to reduce over-collection and exposure
Providing structured workflows for data subject access, correction, and erasure requests with timelines and evidence
Supporting DPIAs and risk assessments for profiling, monitoring, and high-risk processing
Enabling audit readiness and evidence generation for regulator inquiries and compliance reviews
Laying the foundation for AI governance and automated decision-making controls aligned with PDPA
Supporting cross-border data transfer governance with documented safeguards and approvals
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