An Overview of Indonesia’s Data Privacy and Cybersecurity Landscape

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Indonesia, the world's fourth-most populous country and Southeast Asia's largest economy is experiencing a profound digital transformation. With over 185 million internet users and 353 million active mobile connections, Indonesia demonstrates the extensive use of digital technologies in daily life and business.

As Indonesia rapidly adopts digital technologies, the nation has made significant strides in data privacy and cybersecurity with the enactment of the Personal Data Protection Law (PDPL), sectoral laws, and other cybersecurity regulations and AI guidelines. These measures reflect the nation’s commitment to safeguarding personal data and ensuring ethical AI use.

Despite advancements, Indonesia faces challenges like cyber threats, inadequate infrastructure, and limited public awareness. This whitepaper explores the regulatory environment and legislative developments and underscores the critical role of Securiti in assisting businesses in complying with Indonesia’s data privacy, cybersecurity, and AI laws.

Indonesia’s Personal Data Protection Law (PDPL), or Law No. 27 of 2022, is the primary data privacy legislation governing personal data protection in Indonesia. It was passed by the Indonesia House of Representatives on 20 September 2022 and entered into force on 17 October 2022.

The EIT Law (Electronic Information and Transactions Law) regulates electronic information, documents, and transactions, addressing issues like cybercrime, digital signatures, and electronic contracts. Its implementation, outlined in GR 71 (Government Regulation 71/2019), focuses on electronic systems and transactions and includes provisions for cybersecurity, data protection, and electronic certification.

Indonesia's AI Ethical Guidelines aim to ensure that artificial intelligence development and usage are aligned with national values (Pancasila) and ethical principles such as beneficial use, transparency, fairness, accountability, security, and respect for human rights.

Managing Privacy Risks in Large Language Models (LLMs)

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Top 10 Privacy Milestones That Defined 2024

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2025 Privacy Law Updates: Key Developments You Need to Know

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Verifiable Parental Consent Requirements Under Global Privacy Laws

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The Future of Privacy: Top Emerging Privacy Trends in 2025

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Personalization vs. Privacy: Data Privacy Challenges in Retail

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Navigating Data Privacy: Insights from Airlines, Finance, and Healthcare

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Balancing Innovation and Privacy: Data Privacy Challenges Facing Telecommunication Providers

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At Securiti, our mission is to enable organizations to safely harness the incredible power of Data & AI.

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Secure Data+AI anywhere

Data Security Posture Management
Secure sensitive data everywhere from hybrid multicloud to SaaS

View

AI Security & Governance
Establish controls for safe adoption of AI technologies including GenAI

View

Security for AI Copilots in SaaS
Unblock the biggest impediments for Safe Adoption of AI Copilots like Microsoft 365 Copilot

View

Data Access Intelligence & Governance
Monitor user access to data and enforce least privilege controls

View

Data Discovery & Classification
Discover shadow and cloud-native assets and accurately classify data

View

Compliance Management
Assess & improve compliance with security best practices frameworks

View

Breach Impact Analysis
Analyze breach impact & automate notifications to affected individuals

View

Data Flow Governance
Understand data lineage and secure real-time streaming data

View
Build safe enterprise AI systems

Safe Enterprise AI Copilots
Implement rule-aware AI copilots across your organization’s data anywhere

View

Data Vectorization and Ingestion
Extract info from complex Unstructured Files, convert it into AI-ready formats, and sync to vector databases

View

Data Curation and Sanitization for AI
Transform raw, unstructured files into data ready for model training and tuning

View

Context-aware LLM Firewalls
Protect AI interactions with intelligent retrieval, response, and prompt firewalls

View

Unstructured Data Governance
Manage and govern unstructured data to enable its safe use with generative AI

View
Govern data for safe innovation

Data Discovery & Classification
Discover shadow and cloud-native assets and accurately classify data

View

Unstructured Data Governance
Manage unstructured data to enable safe use with generative AI

View

Data Access Governance
Monitor sensitive data access and prevent unauthorized use

View

AI Governance
Establish controls for safe adoption of AI technologies including GenAI

View

Data Catalog
Enable users to easily find, understand, trust and access the data they need

View

Data Lineage
Automatically track changes and transformations of data throughout its lifecycle

View

Data Quality
Conduct data quality checks and validation across various data types

View
Automate data privacy operations

Data Mapping Automation
Manage your entire data mapping lifecycle and automate RoPA reports

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AI Governance
Comply with emerging AI regulations and ensure safe use of AI

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Data Subject Request Automation
Automate entire DSR lifecycle from consumer request intake to secure report delivery

View

Assessment Automation
Automate your entire assessment lifecycle and demonstrate compliance

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Consent Management
Manage your first-party and third-party consent lifecycle from scanning to reporting

View

Breach Management
Automate your incident management and optimize notifications to users & regulatory bodies

View

Privacy Center
Elegant Consumer Frontend, Fully Automated Backend, Privacy Regulation Intelligent Everywhere

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Use automation to audit and improve compliance with global regulations and industry standards

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