Securiti leads GigaOm's DSPM Vendor Evaluation with top ratings across technical capabilities & business value.

View

China’s Personal Information Protection Impact Assessment (PIPIA)

Published May 15, 2024
Contributors

Salma Khan

Data Privacy Analyst at Securiti

CIPP/Asia

Muhammad Faisal Sattar

Data Privacy Legal Manager at Securiti

FIP, CIPT, CIPM, CIPP/Asia

Listen to the content

1. Introduction

Under China's Personal Information Protection Law (PIPL), companies that handle personal information are required to conduct a Personal Information Protection Impact Assessment (PIPIA) for certain types of processing of personal information. PIPIA is quite similar to the Data Protection Impact Assessment (DPIA) under the GDPR. The purpose of PIPIA is to evaluate the potential risks and impacts associated with handling personal information, helping organizations identify and address privacy and data protection concerns.

This article aims to provide guidance by explaining the requirements and scenarios that require a PIPIA in China, thereby helping companies understand their obligations and ensure compliance with the PIPL and other relevant laws that may apply.

2. When to Conduct a PIPIA?

Article 55 of the PIPL stipulates the following scenarios that necessitate a PIPIA:

  • Processing sensitive personal information: Organizations or personal information processors processing sensitive personal information are required to conduct a PIPIA. Sensitive personal information refers to information about an individual that, if exposed or used inappropriately, could cause infringement to the individual's dignity or significantly harm their safety or property. Therefore, processing sensitive personal information carries various privacy risks, such as unauthorized personal information breaches, identity theft, discrimination, etc. Conducting PIPIA helps in identifying these risks so that personal information handlers can ensure the effective protection of individuals' personal information processing.
  • Utilizing personal Information for automated decision-making: Organizations or personal information processors are required to conduct a PIPIA if they are utilizing personal information for automated decision-making. Automated decision-making may lead to discriminatory treatment of individuals therefore, transparency and fairness are required to be maintained when utilizing personal information. Conducting PIPIA helps keep a record of such processing activity and identifies measures that ensure transparency and non-discriminatory treatment of individuals.
  • Entrusting personal information processing to third parties: Third parties are required to comply with some PIPL requirements. Therefore, when an organization entrusts personal information to third parties, it is required to conduct a PIPIA. This will allow it to assess personal information protection measures implemented by third parties, such as encryption, access controls, secure personal information storage practices, etc.
  • Transferring personal information overseas: When it comes to transferring personal information across borders, personal information handlers can rely on different methods, such as undergoing CAC-led security assessments, implementing SCCs, and obtaining certification. However, regardless of the method chosen, personal information handlers are still required to conduct a PIPIA. The scope and depth of PIPIA may vary depending on the method chosen for data transfer and the type and volume of personal information being transferred abroad. For a detailed understanding of these data transfer mechanisms and requirements, review our blog.
  • Other processing activities having a significant impact on personal rights and interests: This catch-all category encompasses a wide range of processing activities that affect an individual's personal information protection. The PIPL does not explain what ‘significant impact’ means. A non-exhaustive list of such activities could include the following:
    •  Implementing new extensive personal information collection practices such as utilizing Internet of Things devices to collect personal information on users’ habits and preferences to acquire a comprehensive profile, or
    • making significant alterations to existing processing activities such as increasing the volume of personal information being processed.

3. How to Conduct a PIPIA?

Personal information handlers conducting PIPIA to assess the impact of processing on personal information protection, identify privacy risks, and implement effective measures to protect personal information should follow the following steps:

  • Clearly outline what personal information processing activities and systems are included in the PIPIA.
  • Assess whether the purposes for processing personal information align with legal requirements and are necessary for achieving the organization's objectives.
  • Evaluate the potential impact of processing activities on the protection of personal information.
  • Conduct an assessment of security risks associated with the processing of personal information.
  • Evaluate the effectiveness of existing protective measures implemented to safeguard personal information.
  • Document the findings of the PIPIA and keep a record for 3 years.

4. PIPL’s PIPIA Vs GDPR DPIA:

PIPIA and DPIA have the following  similarities and differences:

  • The GDPR and PIPL both require organizations or personal information processors to assess the risk to individuals’ personal information protection before processing their personal information in certain situations. The triggers for these assessments under GDPR and PIPL are different.
  • The GDPR and PIPL both require these assessments to be documented; however, PIPL specifies that PIPIA should be recorded for 3 years.
  • The GDPR requires the data controller to consult the supervisory authority before processing in cases where the DPIA indicates that processing would result in high risk in the absence of measures taken by the controller to mitigate the risk. The PIPL does not prescribe any such requirement.

 5. How Securiti Can Help

PIPIAs are crucial in implementing personal information privacy and protection within an organization. If you want to understand these assessments better and access templates for them, sign up for the Securiti Assessment Automation demo. Securiti provides detailed question-based guidance, conditional risks along with risk descriptions and recommendations, and readiness scores.

Request a demo to learn more.

Join Our Newsletter

Get all the latest information, law updates and more delivered to your inbox


Share


More Stories that May Interest You

Videos

View More

Mitigating OWASP Top 10 for LLM Applications 2025

Generative AI (GenAI) has transformed how enterprises operate, scale, and grow. There’s an AI application for every purpose, from increasing employee productivity to streamlining...

View More

DSPM vs. CSPM – What’s the Difference?

While the cloud has offered the world immense growth opportunities, it has also introduced unprecedented challenges and risks. Solutions like Cloud Security Posture Management...

View More

Top 6 DSPM Use Cases

With the advent of Generative AI (GenAI), data has become more dynamic. New data is generated faster than ever, transmitted to various systems, applications,...

View More

Colorado Privacy Act (CPA)

What is the Colorado Privacy Act? The CPA is a comprehensive privacy law signed on July 7, 2021. It established new standards for personal...

View More

Securiti for Copilot in SaaS

Accelerate Copilot Adoption Securely & Confidently Organizations are eager to adopt Microsoft 365 Copilot for increased productivity and efficiency. However, security concerns like data...

View More

Top 10 Considerations for Safely Using Unstructured Data with GenAI

A staggering 90% of an organization's data is unstructured. This data is rapidly being used to fuel GenAI applications like chatbots and AI search....

View More

Gencore AI: Building Safe, Enterprise-grade AI Systems in Minutes

As enterprises adopt generative AI, data and AI teams face numerous hurdles: securely connecting unstructured and structured data sources, maintaining proper controls and governance,...

View More

Navigating CPRA: Key Insights for Businesses

What is CPRA? The California Privacy Rights Act (CPRA) is California's state legislation aimed at protecting residents' digital privacy. It became effective on January...

View More

Navigating the Shift: Transitioning to PCI DSS v4.0

What is PCI DSS? PCI DSS (Payment Card Industry Data Security Standard) is a set of security standards to ensure safe processing, storage, and...

View More

Securing Data+AI : Playbook for Trust, Risk, and Security Management (TRiSM)

AI's growing security risks have 48% of global CISOs alarmed. Join this keynote to learn about a practical playbook for enabling AI Trust, Risk,...

Spotlight Talks

Spotlight 13:38

Accelerating Miracles — How Sanofi is Embedding AI to Significantly Reduce Drug Development Timelines

Sanofi Thumbnail
Watch Now View
Spotlight 10:35

There’s Been a Material Shift in the Data Center of Gravity

Watch Now View
Spotlight 14:21

AI Governance Is Much More than Technology Risk Mitigation

AI Governance Is Much More than Technology Risk Mitigation
Watch Now View
Spotlight 12:!3

You Can’t Build Pipelines, Warehouses, or AI Platforms Without Business Knowledge

Watch Now View
Spotlight 47:42

Cybersecurity – Where Leaders are Buying, Building, and Partnering

Rehan Jalil
Watch Now View
Spotlight 27:29

Building Safe AI with Databricks and Gencore

Rehan Jalil
Watch Now View
Spotlight 46:02

Building Safe Enterprise AI: A Practical Roadmap

Watch Now View
Spotlight 13:32

Ensuring Solid Governance Is Like Squeezing Jello

Watch Now View
Spotlight 40:46

Securing Embedded AI: Accelerate SaaS AI Copilot Adoption Safely

Watch Now View
Spotlight 10:05

Unstructured Data: Analytics Goldmine or a Governance Minefield?

Viral Kamdar
Watch Now View

Latest

Pete Angstadt joins Securiti View More

Why I joined Securiti

I’m thrilled to be joining Securiti as they embark on their next phase of growth. Why did I decide to join? In short -...

AI System Observability: Go Beyond Model Governance View More

AI System Observability: Go Beyond Model Governance

Across industries, AI systems are no longer just tools acting on human prompts. The AI landscape is evolving rapidly, and AI systems are gaining...

Top Data Security Challenges & How to Solve Them View More

Top Data Security Challenges & How to Solve Them

Learn the top data security challenges organizations face today. Learn about the challenge and its solution. Enhance your data security posture today.

View More

How to Implement a Robust Data Security Framework

Data privacy regulations mandate strict data security measures. Learn how to implement a robust data security framework to ensure swift compliance.

Mastering Cookie Consent: Global Compliance & Customer Trust View More

Mastering Cookie Consent: Global Compliance & Customer Trust

Discover how to master cookie consent with strategies for global compliance and building customer trust while aligning with key data privacy regulations.

Why Data Access Is Your Weakest Link—And How DSPM Fixes It View More

Why Data Access Is Your Weakest Link—And How DSPM Fixes It

Learn how DSPM provides unified Data+AI Access governance, offering contextual data intelligence, automated controls, safe AI+data access, and consistent least-privilege enforcement.

From AI Risk to AI Readiness: Why Enterprises Need DSPM Now View More

From AI Risk to AI Readiness: Why Enterprises Need DSPM Now

Discover why shifting focus from AI risk to AI readiness is critical for enterprises. Learn how Data Security Posture Management (DSPM) empowers organizations to...

The European Health Data Space Regulation View More

The European Health Data Space Regulation: A Legislative Timeline and Implementation Roadmap

Download the infographic on the European Health Data Space Regulation, which features a clear timeline and roadmap highlighting key legislative milestones, implementation phases, and...

Gencore AI and Amazon Bedrock View More

Building Enterprise-Grade AI with Gencore AI and Amazon Bedrock

Learn how to build secure enterprise AI copilots with Amazon Bedrock models, protect AI interactions with LLM Firewalls, and apply OWASP Top 10 LLM...

DSPM Vendor Due Diligence View More

DSPM Vendor Due Diligence

DSPM’s Buyer Guide ebook is designed to help CISOs and their teams ask the right questions and consider the right capabilities when looking for...

What's
New