Uploaded byEryk Budi Pratama
Personal Data Protection in Indonesia
The document discusses personal data protection in Indonesia, highlighting regulation and technical aspects related to data privacy and cybersecurity. It emphasizes the importance of explicit consent from data owners for data processing and outlines the responsibilities of data controllers and processors. Furthermore, it presents various technical measures, such as data loss prevention and incident management strategies, alongside best practices for cyber hygiene.
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Personal Data Protection in Indonesia
- 1. 11 PERSONAL DATA PROTECTION ErykB. Pratama, S.Kom, M.M, M.Kom Data Privacy & Cyber Security Consultant at Global Consulting Firm Komunitas Data Privacy & Protection Indonesia (t.me/dataprotectionid) https://medium.com/@proferyk & https://slideshare.net/proferyk Universitas Negeri Makassar Regulation and Technical Aspects
- 2. Agenda 01 Setting-up theContext 02 Regulation Aspects 03 Technical Aspects 04 Cyber Hygiene Implementation
- 3. A perspective ondata breaches - Indonesia Setting-up the Context https://www.cnnindonesia.com/teknologi/20200506065657-185-500477/13-juta-data-bocor- bukalapak-dijual-di-forum-hacker https://tekno.kompas.com/read/2020/05/10/21120067/hacker-klaim-punya-data-12- juta-pengguna-bhinnekacom?page=all https://www.thejakartapost.com/news/2020/05/04/tokopedia-data-breach-exposes- vulnerability-of-personal-data.html https://www.thejakartapost.com/news/2019/09/19/lion-air-leak-puts-data- protection-in-spotlight.html Key Information Security Controls ▪ System configuration ▪ Access management ▪ Third party risk ▪ Human risks (Carelessness)
- 4. A perspective onmisuse of data - Indonesia Setting-up the Context https://www.cnnindonesia.com/nasional/20200711053527-20-523446/data-pribadi- bocor-denny-siregar-bakal-gugat-telkomsel https://www.cnnindonesia.com/nasional/20200711053527-20-523446/data-pribadi-bocor- denny-siregar-bakal-gugat-telkomsel
- 5. Case Study –Personal Data Breach via Vulnerable Web Application
- 6. Data Privacy vsData Protection Ethics & Regulation Information Security Control
- 7. Bring it inone page Setting-up the Context Regulation Technical Aspects EU General Data Protection Regulation (GDPR) US California Consumer Protection Act (CCPA) RUU Perlindungan Data Pribadi (RUU PDP) Pre-Breach Identity & Access Management Data Loss/Leakage Prevention Privilege Access Management Cyber Hygiene During & Post Breach Incident Management Crisis Management PP 71 2019 - PSTE Peraturan Kominfo No 20 2016 - Data Pribadi pada PSE
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- 9. RUU Perlindungan DataPribadi Regulation Aspects Key Highlight ▪ Explicit Consent is required from the data owner for personal data processing. ▪ Responding timelines for Data subject rights have been separately called out in the RUU PDP. ▪ Data controller to notify the data owner and the Minister within 3 days of data breach. ▪ Penalties for non-compliance may range from Rp 20 Billion to Rp 70 Billion or Imprisonment ranging from 2 to 7 years Data Owner Data Controller Data Processor Data Protection Officer
- 10. Data Owner –Pemilik Data Pribadi Regulation Aspects Hak Pemilik Data Pribadi Pasal Deskripsi Pasal 4 meminta Informasi tentang kejelasan identitas, dasar kepentingan hukum, tujuan permintaan dan penggunaan Data Pribadi, dan akuntabilitas pihak yang meminta Data Pribadi. Pasal 5 melengkapi Data Pribadi miliknya sebelum diproses oleh Pengendali Data Pribadi. Pasal 6 mengakses Data Pribadi miliknya sesuai dengan ketentuan peraturan perundang-undangan. Pasal 7 memperbarui dan/atau memperbaiki kesalahan dan/atau ketidakakuratan Data Pribadi miliknya sesuai dengan ketentuan perundang-undangan. Pasal 8 mengakhiri pemrosesan, menghapus, dan/atau memusnahkan Data Pribadi miliknya. Pasal 9 menarik kembali persetujuan pemrosesan Data Pribadi miliknya yang telah diberikan kepada Pengendali Data Pribadi Pasal 10 mengajukan keberatan atas tindakan pengambilan keputusan yang hanya didasarkan pada pemrosesan secara otomatis terkait profil seseorang (profiling). Pasal 11 memilih atau tidak memilih pemrosesan Data Pribadi melalui mekanisme pseudonim untuk tujuan tertentu Pasal 12 menunda atau membatasi pemrosesan Data Pribadi secara proporsional sesuai dengan tujuan pemrosesan Data Pribadi Pasal 13 menuntut dan menerima ganti rugi atas pelanggaran Data Pribadi miliknya sesuai dengan ketentuan peraturan perundang-undangan.
- 11. Data Controller –Pengendali Data Pribadi Regulation Aspects Kewajiban Data Controller Pasal Deskripsi Pasal 24 ▪ wajib menyampaikan Informasi mengenai legalitas dari pemrosesan , tujuan pemrosesan , jenis dan relevansi pemrosesan, periode retensi dokumen, rincian informasi yang dikumpulkan, dan jangka waktu pemrosesan data ▪ menunjukkan bukti persetujuan yang telah diberikan oleh Pemilik Data Pribadi Pasal 25 wajib menghentikan pemrosesan Data Pribadi dalam hal Pemilik Data Pribadi menarik kembali persetujuan pemrosesan Data Pribadi Pasal 27 wajib melindungi dan memastikan keamanan Data Pribadi yang diprosesnya dengan melakukan: ▪ penyusunan dan penerapan langkah teknis operasional untuk melindungi Data Pribadi ▪ penentuan tingkat keamanan Data Pribadi dengan memperhatikan sifat dan risiko dari Data Pribadi yang harus dilindungi dalam pemrosesan Data Pribadi Pasal 28 wajib melakukan pengawasan terhadap setiap pihak yang terlibat dalam pemrosesan Data Pribadi Pasal 29 wajib memastikan pelindungan Data Pribadi dari pemrosesan Data Pribadi yang tidak sah Pasal 36 wajib melakukan pemrosesan Data Pribadi sesuai dengan tujuan pemrosesan Data Pribadi yang disetujui oleh Pemilik Data Pribadi. (Explisit / Implicit Consent) Pasal 38 Pasal 39 Penghapusan dan pemusnahan data pribadi
- 12. Data Masking Regulation Aspects Encryption Tokenization Anonymization Pseudonymization Source:https://teskalabs.com/blog/data-privacy-pseudonymization-anonymization-encryption Pseudonymized Anonymized
- 13. Data Masking -Tokenization Regulation Aspects Source: https://blog.thalesesecurity.com/2015/02/05/token-gesture-vormetric-unveils-new-tokenization-solution/ No sensitive data is stored in the production database
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- 15. Information Security Complexity– Reference Architecture Technical Aspects Source: https://www.opensecurityarchitecture.org/cms/library/patternlandscape
- 16. Information Security Complexity- Example Technical Aspects Source: https://gallery.technet.microsoft.com/Cybersecurity-Reference-883fb54c
- 17. From Simply ManagingIdentities to Managing Complex Relationships Technical Aspects – Identity & Access Management Identity Access Management Identity Relationship Management Source: Forrester Research
- 18. Simplifying the complexity TechnicalAspects – Identity & Access Management Authoritative/Trusted Source Middleware / Identity Management Solution Target System HR Data IDM Solution Active Directory Email Server ERP Others Applications Provisioning Reconciliation Create,Update,Revoke
- 19. Access Management BasicProcess Technical Aspects – Identity & Access Management Receive Request Verification Provide Rights Log and Track Access ▪ Change requests ▪ Services requests ▪ HR requests ▪ App / Script requests ▪ Valid user ? ▪ Valid request ? ▪ Request access ? ▪ Remove access ? ▪ Provide access ▪ Remove access ▪ Restrict access ▪ Check and monitor identity status ▪ Violations to Incident Management Process Business Rules, Policies, Procedures, Controls ISMS
- 20. Data Loss/Leakage PreventionSolution Technical Aspects – Data Loss Prevention A Data Loss Prevention (DLP) solution typically incorporates people, process, and technology to protect sensitive data traversing throughout an organization. Data within an organization is often categorized and protected by DLP in the following three different forms: Data in Motion Data at Rest Data in Use Data that is transmitted or moved, both through electronic or non-electronic means. Data that is actively traveling on a network, such as email or web traffic. Data that resides on a stable medium, including servers, network shares, databases, individual computers, and portable media. Data that has been obtained and are being processed or actively used. Typically, referring to data on end-user computing device or host systems. Structured Data Unstructured Data Semi-structured Data Data commonly stored in databases or applications Exists in filesystems or documents Examples of such data format types include email Data Type
- 21. Incident Management Definition TechnicalAspects – Incident Management What is an IT incident? An IT incident is any disruption to an organization's IT services that affects anything from a single user or the entire business . In short, an incident is anything that interrupts business continuity. What is IT incident management? Incident management is the process of managing IT service disruptions and restoring services within agreed service level agreements (SLAs). The scope of incident management starts with an end user reporting an issue and ends with a service desk team member resolving that issue. Analyst Incident Responder Digital Forensic Incident Escalation Layer 1 (L1) Layer 2 (L2) Layer 3 (L3) Incident Classification MediumHigh Low Incident Prioritization Critical High Medium Low
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- 23. Implement Cyber Hygieneas Foundational Action Key Takeaways What is Cyber Hygiene? Cyber hygiene refers to steps taken by users to maintain the health of their computers and devices and improve online security to prevent the theft or corruption of data. Cyber Hygiene Practices 1. Keep an inventory of the hardware and software on your network 2. Install reputable antivirus and malware software 3. Conduct cybersecurity education and awareness activities 4. Update and patch software regularly 5. Regularly back up your data and keep multiple copies 6. Limit the number of employees who have administrative privileges 7. Establish an incident response plan. 8. Establish network security and monitoring 9. Perform regular vulnerability assessment and secure configuration review 10.Implement some controls to protect and recover data if a breach occurs Keep update with regulation and cyber threat
- 24. Cyber Hygiene inPublic Environment Key Takeaways Check Legitimate WIFI ID/SSID Be careful with piggyback/tailgating Don’t click malicious pop-up and URL Use VPN (if possible)
- 25. Staying Safe whenOnline Key Takeaways Use secured personal device Activate pop-up/Ad blocker Activate private / incognito mode Use VPN (if possible) Use strong/complex password Make Online Purchases From Secure Sites Be Careful on What You Access & Download
- 26. Thank You ☺ https://medium.com/@proferyk https://www.slideshare.net/proferyk ITAdvisory & Risk (t.me/itadvindonesia) Data Privacy & Protection (t.me/dataprivid) Komunitas Data Privacy & Protection (t.me/dataprotectionid)