Indonesia’s Personal Data Protection Law (PDPL)

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On September 20, 2022, the Indonesian parliament formally passed the Protection of Personal Data Law (PDPL), intending to empower all Indonesians with a broader degree of control over their data online.

The law provides both data controllers and data processors with a transition period of two years to ensure their data handling and processing activities comply with the new law's provisions. Additionally, the PDPL obligates all organizations to adopt a strict consent management regime to ensure any and all data collected is done so only after explicit valid consent from the data subject.

This infographic gives you insights into the range of new data subject rights, specific data-related obligations for organizations, and the administrative penalties per the PDPL.

The PDPL deals with personal data. Per the PDPL, there are two types of personal data, either general or specific in nature. General data includes full name, gender, religion, marital status, etc. At the same time, specific personal data includes an individual's biometric data, genetic data, criminal records, and financial data. Any other kind of data or information not covered by the PDPL under these two categories is not covered by the PDPL.

In essence, a breach of privacy is any instance where a user's personal information is stolen, lost, used, or disclosed without proper permission. For an organization, a breach of privacy is any data breach that may jeopardize the security of the data it has collected over its users.

The PDPL applies to every person, corporation, public body, or international organization located within or outside the Republic of Indonesia. However, the processing of personal data by individuals in personal or household activities is exempt per the PDPL.

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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

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

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Automate data privacy operations

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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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Automate entire DSR lifecycle from consumer request intake to secure report delivery

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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

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

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

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