Blogs
Analyzing Assessments and Additional Safeguards for Cross Border Data Transfers post Schrems-II
Published on September 6, 2020 AUTHOR PRIVACY RESEARCH TEAM
The Court of Justice of the European Union (CJEU) released a decision invalidating the US-EU Privacy Shield arrangement for transatlantic data transfers and changing obligations of data controllers when using Standard Contractual Clauses (SCCs) as a mechanism to export data. Among other things, the court held that data controllers may use SCCs to transfer data of EU citizens to a data importer based in a jurisdiction which has been deemed to have inadequate data privacy protections only after:
1. Carrying out a review of the national legislation and regulations relating to data privacy and security of the data importer and verifying whether the existing laws and regulations ensure that the contractual promises within the SCCs can be honored by the importer;
2. If the national legislations and regulations are too weak to allow the SCCs to be enforced, then the controller along with the assistance of the data importer will have to establish supplementary measures to enforce the data importer’s obligation to protect the data under the SCCs;
3. If the data controller, the data importer or the relevant Supervisory Authority believes that the contractual protections on the data as per the SCCs cannot be honored by the data importer then the data transfer between the controller and importer should be cancelled and any data already transferred under the SCCs should be deleted by the data importer.
Risk assessments
Upon a close reading of the CJEU’s judgement, it appears that the data controllers and processors should be focusing on the following factors while conducting the obligatory risk assessments under the SCCs:
1. Identity of the data importer:
- Is the data importer from a regulated industry?
- Who is the data importer and in which industry do they work?
- Does the data importer have the capability to refuse public authorities’ requests to hand over transferred data for surveillance needs?
- Whether the data importer has received surveillance requests in the past and complied with the same for similar sets of data?
The identity of the data importer matters since some data importers might be targeted more by public authorities in comparison to others due to the industry they work in. Moreover, the data importer’s history of compliance with a regulatory regime and it’s capability to challenge requests for surveillance by public authorities can also help assess the risk of exposure to the personal data being transferred.
2. Assessment of the industry-specific regulatory regime of the data importer:
- What are the powers, roles and performance of the relevant local regulators?
- What safeguards and redress are available for data subjects under the relevant legal and regulatory regime?
The type of safeguards and redress available to data subjects under a regulatory regime should be analyzed and evaluated in terms of scope, efficacy and enforceability of protections.
3. The nature of the data and the data transfer:
- What type of data is it?
- Is it sensitive personal data?
- For what purpose is the data being transferred?
- What is the residual risk to the data subject if the transferred data is exposed or surveilled by the public authorities of the importing country?
- Has the data subject provided (enhanced) informed and free consent to have his/her personal information transferred despite the risk of it being exposed or surveilled by the public authorities of the data importer’s country?
Some data and transfers are inherently more at risk than others to be the subject of surveillance by governments due to national security concerns and/or law enforcement interests in the type of data being transferred. Similarly, the type of data being transferred also matters as sensitive personal data being exposed to surveillance is more harmful to the data subject compared to other data types.
4. The categories of data subjects:
- Who are the data subjects whose data is being transferred?
- Do these data subjects have access to judicial/regulatory bodies in the data importer’s country to exercise their rights and challenge the surveillance of their information?
Some data subjects might be at increased risk of surveillance by a country’s public authorities due to their employment or nationality etc. Similarly, some categories of data subjects (i.e EU citizens who have dual nationality as US citizens) will have the enhanced capability to take action to stop or redress any government action which threatens to expose their data while others might not.
5. The nature and scope of surveillance and national security laws of the data importer’s country:
- Are the surveillance laws of the data importer’s country expansive or limited in their scope?
- Are surveillance efforts for national security requirements curtailed by the principles of necessity and proportionality?
- What is the probability that the transferred personal data will be surveilled?
Some jurisdictions have very well structured surveillance laws and the law applies to some specified industries, people, etc. but some jurisdictions have vaguely worded and overbroad surveillance laws. The risk is less if the laws (and their limitations) are well written and understood.
6. Other supplementary measures used by the data importer to protect the data:
- Does the data importer employ any industry-specific protections to the transferred data?
- Does the data importer apply any technical or organizational protections to the transferred data?
- Are there any protections to the transferred data which are in the nature of international commitments by the data importer or the country the data importer is based in?
- What supplementary measures will be used in the SCC and how effective would they be in protecting the data?
Some data importers can be subject to additional and independent supplemental measures for the protection of the transferred data that are industry-specific or international in nature (via international treaties or obligations). These can reduce the risk of the transferred data being exposed.
Additional Safeguards
The data controller after conducting a holistic assessment of the risk can choose to enact additional safeguards within the SCCs to protect the data and mitigate risk to achieve compliance with the CJEU judgment. Such additional measures may include:
- technical and organizational (i.e such as heavy grade encryption of the transferred data with the data importer not having access to encryption key at all times),
- data minimization (i.e reducing data flow to a data importer if they become subject to surveillance requests or the risk of them being issued a surveillance request increases),
- other contractual measures that can offer some form of control over data importers by data controllers (i.e the data controller exercises total control on the data importer in relation to the imported data),
- reporting obligation (the data importer is obligated to inform the data controller of data surveillance requests received on the imported data by public authorities),
- data protection obligation (i.e obligation upon data importer to delete the data or transfer it forward and to challenge data surveillance requests by public authorities before domestic courts).
Conclusion
"Data controllers in the EU should immediately begin to audit their data sharing practices and prepare for the eventual compliance actions by regulators. NOYB - Max Schrems’ data rights organization - has already filed 101 complaints with various Supervisory Authorities against European companies continuing to transfer data to the US after the judgement and the European Data Protection Board has formed a task force for the implementation of the ruling. Since there is no grace period for companies to adapt to the decision, even tomorrow the Supervisory Authorities can knock on EU data exporters’ doors asking for justifications for data transfers being made to US companies."
Thus adoption and enhancement of SCCs with additional measures to mitigate the risks which arise in risk assessments is the only viable step for many companies (at least in the short term) as other solutions such as Binding Corporate Rules (BCRs) are too expensive and solutions such as enhanced consent are not sustainable or viable for systematic transfers. Until further guidance comes from the authorities or the US and EU authorities can clobber together a Privacy Shield 3.0, these steps are required to ensure the billions of dollars worth of transatlantic trade does not come to a grinding halt.
Navigating the Impact of “Schrems II” and Cross-Border Data Transfers
Register Now
Michael Morgan
CIPP/US, Partner, Global Privacy & Cybersecurity, McDermott Will & Emery
Srinivas Avasarala
VP Product Management, Securiti
Our Videos
Cookie Consent Management
Automate and manage the entire consent life cycle with efficiency for various cookie compliance regulations around the world.
Learn More
Sensitive Data Intelligence
Discover granular insights into all aspects of your privacy and security functions while reducing security risks and lowering the overall costs
Learn More
Data Mapping Automation
Simplify gathering information, dynamically update your data catalog, and automate assessments and reports
Learn More
An IT Leader’s Perspective on CCPA
Meet Brian Lillie, Former CPO at Equinix as he discusses the potential challenges of CCPA and how the PrivacyOps framework can be the key to unlocking compliance.
Learn More
RSA Innovation Sandbox 2020: Securiti
Watch the 3-minute pitch presented by Rehan Jalil on SECURITI.ai in the RSAC Sandbox Competition
Learn MoreProducts
Resources
Get in touch
[email protected]
PO Box 13039,
Coyote CA 95013
- Products
-
Data IntelligenceBack
Find data assets, and discover personal and sensitive data in structured and unstructured data systems, across on-premises and multi-cloud.
Key Features
- Catalog all data assets
- Support for 200+ apps and data asset types
- 100s of out-of-box detectors
- Out-of-the-box detection of data attributes specific to 20+ categories across industries
- Extensive localization support including N.America, EU, LATAM and Asia
- Identify regulated attributes
Classify & label data to ensure appropriate security controls are enabled on most sensitive data in your organization
Key Features
- Automatic data classification to detect sensitive data such as medical/financial documents and more
- Auto data labelling
- Purpose based labeling
- Metadata tags
Collect, organize, enrich and build a data catalog to address privacy, security and governance solutions
Key Features
- Discover Data Assets
- Searchable data catalog
- Discover privacy and security metadata
Connect to structured and unstructured data sources and automatically discover and build a relationship map between personal data and its owner.
Key Features
- Secure creation of PI graph while preventing PI sprawl
- Derive insights about identities, PI data, residencies and data location
- Gain valuable insights about compliance risk for PI data across systems
- Enable swift and accurate DSR fulfillment
- Enable swift and accurate breach notification
- Gain insights about PI data using natural language conversational interface
Assess risk scores for every data asset, asset location, or personal data category
Key Features
- Identify data risk hotspots
- Customize and tune risk scores
- Eliminate blind spots for data risk
-
AWS S3
-
Amazon RDS (MySQL, PostgreSQL, Oracle, SQL Server, and MariaDB)
-
Amazon Redshift
-
Amazon Athena
-
Amazon Aurora Postgres
-
Amazon DynamoDB
-
Amazon EMR Hive
-
Amazon Elasticsearch
- And More
-
Azure Files
-
Azure Blobs
-
Azure Cosmos DB
-
Azure Data Warehouse
-
Azure SQL Database
-
Azure Table Storage
- And More
-
Google Cloud Storage
-
Google BigQuery
-
Google Cloud Spanner
-
Google Cloud SQL
-
Google Cloud Datastore
-
Google Cloud Firestore
- And More
-
OCI Object Storage
-
OCI Autonomous Data Warehouse Cloud
-
OCI Database Cloud Service
-
OCI DB - Bare metal
-
OCI DB - VMs
-
OCI MySQL
-
OCI NoSQL
- And More
Auto discover personal data in Snowflake and enforce access governance
Key Features
- Deep data discovery - auto detect all personal and sensitive data in Snowflake
- Detect 120+ personal data attributes across various industries, regions and regulations
- Reveal all personal data records in schemas, tables and columns
- Assess data risk in Snowflake based on personal data attributes, data residencies, & Snowflake instance location
- Enhanced data protection and handling
- Automated data subject rights fulfillment
- Visibility and enforcement of access governance
Auto discover personal data in Snowflake and enforce access governance
Key Features
- Deep data discovery - auto detect all personal and sensitive data in Databricks
- Detect 120+ personal data attributes across various industries, regions and regulations
- Reveal all personal data records in delta lake
- Assess data risk in Databricks based on personal data attributes, data residencies, & databricks instance location
- Enhanced data protection and handling
- Automated data subject rights fulfillment
- Visibility and enforcement of access governance
Discover, classify, manage and protect sensitive data in Box. Automate data subject rights fulfillment and maintain compliance with regulations such as GDPR, CCPA, LGPD, PCI and more.
Key Features
- Deep data discovery
- Auto classification of PII and PHI
- Enhanced data protection and handling
- Automated data subject rights fulfillment
Discover, classify, manage and protect sensitive data in Slack. Automate data subject rights fulfillment and maintain compliance with regulations such as GDPR, CCPA, LGPD, PCI and more
Key Features
- Deep data discovery
- Auto classification of PII and PHI
- Enhanced data protection and handling
- Automated data subject rights fulfillment
Discover, classify, manage and protect sensitive data in Workday. Automate data subject rights fulfillment and maintain compliance with regulations such as GDPR, CCPA, LGPD, PCI and more.
Key Features
- Deep data discovery
- Auto classification of PII and PHI
- Enhanced data protection and handling
- Automated data subject rights fulfillment
Discover, classify, manage and protect sensitive data in Github. Automate data subject rights fulfillment and maintain compliance with regulations such as GDPR, CCPA, LGPD, PCI and more.
Key Features
- Deep data discovery
- Auto classification of PII and PHI
- Enhanced data protection and handling
- Automated data subject rights
Discover, classify, manage and protect sensitive data in Jira. Automate data subject rights fulfillment and maintain compliance with regulations such as GDPR, CCPA, LGPD, PCI and more.
Key Features
- Deep data discovery
- Auto classification of PII and PHI
- Enhanced data protection and handling
- Automated data subject rights fulfillment
Discover, classify, manage and protect sensitive data in Dropbox. Automate data subject rights fulfillment and maintain compliance with regulations such as GDPR, CCPA, LGPD, PCI and more.
Key Features
- Deep data discovery
- Auto classification of PII and PHI
- Enhanced data protection and handling
- Automated data subject rights fulfillment
Discover, classify, manage and protect sensitive data in SAP Successfactors. Automate data subject rights fulfillment and maintain compliance with regulations such as GDPR, CCPA, LGPD, PCI and more.
Key Features
- Deep data discovery
- Auto classification of PII and PHI
- Enhanced data protection and handling
- Automated data subject rights fulfillment
Discover, classify, manage and protect sensitive data in Servicenow. Automate data subject rights fulfillment and maintain compliance with regulations such as GDPR, CCPA, LGPD, PCI and more.
Key Features
- Deep data discovery
- Auto classification of PII and PHI
- Enhanced data protection and handling
- Automated data subject rights fulfillment
Discover, classify, manage and protect sensitive data in Zendesk. Automate data subject rights fulfillment and maintain compliance with regulations such as GDPR, CCPA, LGPD, PCI and more.
Key Features
- Deep data discovery
- Auto classification of PII and PHI
- Enhanced data protection and handling
- Automated data subject rights fulfillment
Discover, classify, manage and protect sensitive data in Apache Hive. Automate data subject rights fulfillment and maintain compliance with regulations such as GDPR, CCPA, LGPD, PCI and more.
Key Features
- Deep data discovery
- Auto classification of PII and PHI
- Enhanced data protection and handling
- Automated data subject rights fulfillment
Discover, classify, manage and protect sensitive data in Apache Spark SQL. Automate data subject rights fulfillment and maintain compliance with regulations such as GDPR, CCPA, LGPD, PCI and more.
Key Features
- Deep data discovery
- Auto classification of PII and PHI
- Enhanced data protection and handling
- Automated data subject rights fulfillment
Discover, classify, manage and protect sensitive data in Cassandra. Automate data subject rights fulfillment and maintain compliance with regulations such as GDPR, CCPA, LGPD, PCI and more.
Key Features
- Deep data discovery
- Auto classification of PII and PHI
- Enhanced data protection and handling
- Automated data subject rights fulfillment
Discover, classify, manage and protect sensitive data in Couchbase. Automate data subject rights fulfillment and maintain compliance with regulations such as GDPR, CCPA, LGPD, PCI and more.
Key Features
- Deep data discovery
- Auto classification of PII and PHI
- Enhanced data protection and handling
- Automated data subject rights fulfillment
-
PrivacyBack
Maintain your Data Catalog with continuous automated updates
Key Features
- Maintain a central repository for all data assets, data processing and vendor records
- Initiate PIAs and DPIAs, and dynamically update them based on changes to your data
- Automatically discover new data and dynamically update your data catalog, trigger new assessments and update your risk register
- Easily monitor cross border traffic and other key data patterns and exchanges with dynamic visual data maps
- Generate Records of Processing Activities, such as Article 30 reports
- Gain real-time insights into risks associated with your data and processing activities
Automate data subject rights request fulfillment and maintain proof of compliance
Key Features
- Customizable DSR intake forms
- Identity verification to protect against identity fraud and PI theft
- Robotic automation for timely and efficient fulfillment of data subject requests
- Automated linking of identity to personal data using AI
- Built-in collaboration to prevent data sprawl
- Comprehensive audit records to meet regulatory requirements
Connect to structured and unstructured data sources and automatically discover and build a relationship map between personal data and its owner.
Key Features
- Secure creation of PI graph while preventing PI sprawl
- Derive insights about identities, PI data, residencies and data location
- Gain valuable insights about compliance risk for PI data across systems
- Enable swift and accurate DSR fulfillment
- Enable swift and accurate breach notification
- Gain insights about PI data using natural language conversational interface
Audit once and comply with many regulations. Collaborate and track all internal assessments in one place.
Key Features
- Comprehensive knowledgebase of global regulatory requirements
- Single repository for all internal responses and documents
- Easy sharing of completed assessments with customers and partners
- Audit once and comply with many regulatory requirements
- Collaborate with subject matter experts across functions on one privacy platform
- Gain compliance insights, recommendations and automate follow-ups with internal parties.
Automation of privacy assessment collection from third parties, collaboration among stakeholders, follow-ups and compliance analytics.
Key Features
- Comprehensive knowledgebase of global regulatory requirements
- Single repository for all 3rd party responses and documents
- Independent, privacy risk ratings of 3rd parties
- Audit once and comply with many regulatory requirements
- Collaborate with subject matter experts across functions on one privacy platform
- Gain compliance insights, recommendations and automate follow-ups with 3rd parties.
Automate global cookie consent compliance.
Key Features
- Track 1st and 3rd party code that runs on websites through continuous website scanning
- Automatically classify cookies for accurate consent notification
- Comply with global regulatory and compliance requirements such as GDPR, CCPA, ePrivacy Directive, IAB TCF 2.0 and more
- Maintain comprehensive records of consent for audit and reporting
- Customize the style, look and feel to align with your brand
- Honor opt-out requests by automatically blocking non-essential cookies without any additional code
Simplify and automate universal consent management.
Key Features
- Customizable endpoints based on branding, functionality and regulatory requirements
- Consent orchestration across an extensive array of applications
- Easily honor consent revocations from offline or non-primary channels
- Deploy a configurable consumer preference center
- Build configurable workflows to dynamically sync consent status across systems
- Maintain comprehensive consent records for audit and reporting
Automate the incident response process by gathering incident details, identifying the scope and optimizing notifications to comply with global privacy regulations.
Key Features
- Easy and intuitive portal to report and collaborate on incidents
- Breach management workbench to automate incident management and data breach notifications
- Automatically discover insights about impacted users & their data
- Use jurisdiction research data to make notification decisions
- Track remediation activities and maintain detailed audit trails
- Make timely notifications using pre-built templates to reduce risk
Keeping privacy notices up-to-date made easy
Key Features
- Publish privacy notices in minutes using pre-built templates
- Centralize management by tracking and monitoring privacy notices for all your environments
- Reduce risk of privacy violations
- Accelerate periodic review process
- Native integration with privacy-ops platform keeps notices up-to-date
Operationalize GDPR compliance with the most comprehensive PrivacyOps platform
Key Features
- Build customized, branded web forms to accept verified data subject rights requests
- Automate secure data subject request handling
- Continuously scan and monitor data against non-compliance to subject rights, legal basis for data processing, data residency or security controls
- Surface new PD types, categories and data flow risks on an ongoing basis
- Maintain an accurate data catalog, map data flows and generate article 30 reports
- Meet cookie compliance requirements
- Monitor and track consent to ensure data is processed legally
- Assess GDPR readiness using a collaborative, multi-regulation assessment system
- Track, monitor and manage privacy and security readiness for all vendors from a single interface
Operationalize CCPA compliance with the most comprehensive PrivacyOps platform
Key Features
- Build customized, branded web forms to accept verified data subject rights requests
- Automate secure data subject request handling
- Continuously scan and monitor data against non-compliance to subject rights, legal basis for data processing, data residency or security controls
- Surface new PD types, categories and data flow risks on an ongoing basis
- Maintain an accurate data catalog, map data flows and generate article 30 reports
- Meet cookie compliance requirements
- Monitor and track consent to ensure data is processed legally
- Assess GDPR readiness using a collaborative, multi-regulation assessment system
- Track, monitor and manage privacy and security readiness for all vendors from a single interface
Revolutionize LGPD compliance through PrivacyOps
Key Features
- Build customized, branded web forms to accept verified data subject rights requests
- Automate secure data subject request handling
- Continuously scan and monitor data against non-compliance to subject rights, legal basis for data processing, data residency or security controls
- Surface new PD types, categories and data flow risks on an ongoing basis
- Maintain an accurate data catalog, map data flows and generate article 30 reports
- Meet cookie compliance requirements
- Monitor and track consent to ensure data is processed legally
- Assess GDPR readiness using a collaborative, multi-regulation assessment system
- Track, monitor and manage privacy and security readiness for all vendors from a single interface
Enable privacy by design through the AI driven PrivacyOps platform
Key Features
- Continuously scan and monitor data against non-compliance to subject rights, legal basis for data processing, data residency or security controls - make privacy proactive not reactive
- PIA framework, Data subject rights management, consent management framework and privacy notices ensure that privacy is enabled default
- Privacy portals, data mapping automation and PIA framework ensure that privacy is embedded into design
- PIA framework, privacy notices and consent and subject rights management helps make any program a positive sum initiative
- Classification, risk monitoring and policy based alerts and remediation offer end-to-end security while processing personal data
- Privacy notices and consent management framework offer visibility and transparency to users and respect users rights and preferences
-
Security
-
FeaturesView
BackDiscover data assets, detect & catalog sensitive data in it
Key Features
- 100s of out-of-box detectors
- Support for 200+ apps and data asset types
- Regional data type coverage
- Searchable sensitive data catalog
- Industry specific coverage
- Regulation specific coverage
Classify and label data to ensure appropriate security controls
Key Features
- Auto data classification
- Auto data labeling
- Purpose based labeling
- Metadata tags
Monitor data security posture and identify external and internals risks to data security
Key Features
- Detect data exposure risks
- Identify high risk data assets
- Customizable risk score calculation
- Data risk visualization & attribution
Policy based alerts and remediations to protect data from external and internal threats
Key Features
- Policy driven proactive alerts and remediation of data exposures
- Policy driven access controls
- Easily configure policies using rules
Investigate data security issues and take remediation actions
Key Features
- Investigate root cause of data security issues
- Policy creation from incidents
- Assign and track incident closures
-
-
- Solutions
- Discover personal data
- Reveal all personal data records
- Identify Data Risk
- Find data owners & fulfill DSRs in a timely manner
- Protect PII and PHI
- Visibility and enforcement of access governance
- Discover personal data
- Auto detect sensitive files and classify them
- Catalog & search unstructured data
- Identify Data Risk
- Find data owners & fulfill DSRs in a timely manner
- Review and revoke excessive privileges
- Discover personal data
- Auto detect sensitive files and classify them
- Catalog & search unstructured data
- Identify Data Risk
- Find data owners & fulfill DSRs in a timely manner
- Discover personal data
- Catalog structured and unstructured data
- Classify and label data
- Protect PII and PHI
- Update Data Maps & Article 30 reports
- Discover all your sensitive data
- Auto detect & classify sensitive content
- Prevent data leaks and reduce accidental breaches
- Monitor data risk
- Comply with GDPR/CCPA by fulfilling DSRs in a timely manner
- Discover sensitive data
- Reveal all sensitive data records
- Identify Data Risk
- Find data owners & fulfill DSRs in a timely manner
- Protect PII and PHI
- Automate consumer data access request handling
- Secure fulfillment of data access requests
- Fulfill CCPA 'do not sell' requests
- Continuous monitoring and tracking
- Automate PI data linking
- Enable opt-out mechanisms
- Monitor and track consent
- Assess CCPA readiness
- Assess third parties
- Map data flows
- Customize a data subject rights request portal for seamless customer care
- Automate data subject access request handling
- Secure fulfillment of data access and port requests
- Automate objection and processing restriction requests
- Automate erasure requests
- Automate object and restriction of processing requests
- Continuous monitoring and tracking
- Automate PI data linking
- Meet cookie compliance
- Monitor and track consent
- Assess GDPR readiness
- Map data flows and generate article 30 reports
- Manage vendor risk
- Customize a data subject rights request portal for seamless customer care
- Automate data subject access request handling
- Secure fulfillment of data access and port requests
- Automate processing of rectification requests
- Automate erasure requests
- Automate object and restriction of processing requests
- Continuous monitoring and tracking
- Automate People Data Graph
- Meet cookie compliance
- Monitor and track consent
- Assess LGPD readiness
- Map data flows and generate reports
- Manage vendor risk
- Customize a data subject rights request portal for seamless customer care
- Automate data subject access request handling
- Secure fulfillment of data access and port requests
- Automate the processing of rectification requests
- Automate erasure requests
- Automate object and restriction of processing requests
- Continuous monitoring and tracking
- Automate People Data Graph
- Meet cookie compliance
- Monitor and track consent
- Assess NZPA readiness
- Breach Response Notification
- Manage vendor risk
- Customize a data subject rights request portal for seamless customer care
- Automate data subject access request handling
- Secure fulfillment of data access and port requests
- Automate the processing of rectification requests
- Automate erasure requests
- Automate object and restriction of processing requests
- Continuous monitoring and tracking
- Automate People Data Graph
- Meet cookie compliance
- Monitor and track consent
- Assess PDPA readiness
- Map data flows
- Manage vendor risk
- Breach Response Notification
- Customize a data subject rights request portal for seamless customer care
- Automate data subject access request handling
- Secure fulfillment of data access and port requests
- Automate the processing of rectification requests
- Automate erasure requests
- Automate object and restriction of processing requests
- Continuous monitoring and tracking
- Automate People Data Graph
- Meet cookie compliance
- Monitor and track consent
- Assess POPIA readiness
- Map data flows
- Manage vendor risk
- Breach Response Notification
- Customize a data subject rights request portal for seamless customer care
- Automate data subject access request handling
- Secure fulfillment of data access and port requests
- Automate the processing of rectification requests
- Automate erasure requests
- Automate object and restriction of processing requests
- Continuous monitoring and tracking
- Automate People Data Graph
- Meet cookie compliance
- Monitor and track consent
- Assess DIFC readiness
- Manage vendor risk
- Breach Response Notification
- Customize a data subject rights request portal for seamless customer care
- Automate data subject access request handling
- Secure fulfillment of data access
- Automate the processing of rectification requests
- Automate erasure requests
- Continuous monitoring and tracking
- Automate People Data Graph
- Meet cookie compliance
- Monitor and track consent
- Assess Australia PA readiness
- Map data flows
- Manage vendor risk
- Breach Response Notification
- Customize a data subject rights request portal for seamless customer care
- Automate data subject access request handling
- Secure fulfillment of data access and port requests
- Automate the processing of rectification requests
- Automate objection and restriction of processing requests
- Continuous monitoring and tracking
- Automate People Data Graph
- Meet cookie compliance
- Monitor and track consent
- Assess PDPA readiness
- Map data flows
- Manage vendor risk
- Breach Response Notification
- Customize a data subject rights request portal for seamless customer care
- Automate data subject access request handling
- Secure fulfillment of data access
- Automate the processing of rectification requests
- Automate erasure requests
- Continuous monitoring and tracking
- Automate People Data Graph
- Meet cookie compliance
- Monitor and track consent
- Assess PIPEDA readiness
- Map data flows
- Manage vendor risk
- Breach Response Notification
- Conduct EU-US Data Transfer Risk Assessments based on Schrems II decision
- Identify and review data transfers from the European Union
- Manage and remediate discovered vendor risks
- Automate health professionals’ data access request handling
- Automated discovery, mapping, cataloging and labeling of data assets
- Secure fulfillment of data access requests
- Continuous monitoring and tracking
- Automate People Data Graph
- Assess ADHICS readiness
- Map data flows
- Manage vendor risk
- Breach Response Notification
- Automate processing of rectification requests
- Automate erasure requests
- Continuous monitoring and tracking
- Automate People Data Graph
- Monitor and track consent
- Assess ECL readiness
- Map data flows
- Manage vendor risk
- Breach Response Notification
- Customize a data subject rights request portal for seamless customer care
- Automate data subject access request handling
- Secure fulfillment of data access
- Automate the processing of rectification requests
- Automate erasure requests
- Continuous monitoring and tracking
- Automate People Data Graph
- Meet cookie compliance
- Monitor and track consent
- Assess LPPD readiness
- Map data flows
- Manage vendor risk
- Breach Response Notification
- Customize a data subject rights request portal for seamless customer care
- Automate data subject access request handling
- Secure fulfillment of data access
- Automate the processing of rectification requests
- Automate erasure requests
- Continuous monitoring and tracking
- Automate People Data Graph
- Meet cookie compliance
- Monitor and track consent
- Assess PDPB readiness
- Map data flows
- Manage vendor risk
- Breach Response Notification
- Customize a data subject rights request portal for seamless customer care
- Automate data subject access request handling
- Secure fulfillment of data access
- Automate the processing of rectification requests
- Automate erasure requests
- Continuous monitoring and tracking
- Automate People Data Graph
- Meet cookie compliance
- Monitor and track consent
- Assess China’s Draft PIPL readiness
- Map data flows
- Manage vendor risk
- Breach Response Notification
- Customize a data subject rights request portal for seamless customer care
- Automate data subject access request handling
- Secure fulfillment of data access
- Automate the processing of rectification requests
- Automate object and restriction of processing requests
- Automate erasure requests
- Continuous monitoring and tracking
- Automate People Data Graph
- Meet cookie compliance
- Monitor and track consent
- Assess DPA readiness
- Map data flows
- Manage vendor risk
- Automate data subject access request handling
- Secure fulfillment of data access
- Automate the processing of rectification requests
- Automate erasure requests
- Automate object and restriction of processing requests
- Continuous monitoring and tracking
- Automate People Data Graph
- Meet cookie compliance
- Monitor and track consent
- Assess PDPO readiness
- Map data flows
- Manage vendor risk
- Breach Response Notification
- Automate data subject access request handling
- Secure fulfillment of data access
- Automate the processing of rectification requests
- Automate erasure requests
- Automate object and restriction of processing requests
- Continuous monitoring and tracking
- Automate People Data Graph
- Meet cookie compliance
- Monitor and track consent
- Assess DPA readiness
- Map data flows
- Manage vendor risk
- Breach Response Notification
- Continuous monitoring and tracking
- Automate People Data Graph
- Monitor and track consent
- Assess TRA CPR readiness
- Map data flows
- Manage vendor risk
BackSnowflake is a cloud based data warehouse that allows organizations to run large scale data analytics projects to uncover business insights, run or train machine learning models, and modernize their data infrastructure.
Key Features
The Amazon S3 (Simple Storage Service) is a web-service which allows for scalable storage solutions for data archival, backup, and recovery purposes.
Key Features
Microsoft O365 is the ubiquitous productivity suite for every business worker. Users rely on Office products such as OneDrive and SharePoint to collaborate with their co-workers.
Key Features
Organizations want to migrate their on-premises data to cloud data stores to take advantage of scale and flexibility while reducing operational cost of managing on-premises infrastructure. However, due to privacy regulations such as GDPR, CCPA administrators have to ensure that data is migrated in compliance with these laws.
Key Features
Protecting sensitive content is a priority for all organizations, however, due to volume of sensitive content and
Key Features
While data aids in business decision making, global privacy regulations such as GDPR, CPRA require organization to identify personal & sensitive data & use only for its intended purpose and implement adequate protection.
Key Features
The California Consumer Privacy Act (CCPA) was signed into law on June 28, 2018 and is scheduled to come into effect on January 01, 2020. Often compared to GDPR, CCPA protects consumers from mismanagement of their personal data and gives the consumer control over what data is collected, processed, shared or sold.
Key Features
The EU General Data Protection Regulation (GDPR) came into effect on May 25, 2018 and changed the global privacy landscape. It has broadened the definition of processing activities and personal data, impacting companies worldwide, and has tightened the rules to obtain consent before processing information.
Key Features
The Lei Geral de Proteção de Dados (LGPD) is modeled with similarities to the General European Data Protection Regulation (GDPR) and contains sixty-five articles. It was approved on August 14, 2018 and its validity has undergone several changes, the last relevant fact being MPV 959. LGPD is in effect since September 18, 2020. The sanctions by the ANPD (Brazilian Data Protection Authority) were postponed to August 2021. The LGPD allows people have more rights over their data and expects organizations to comply with their regulations or face heavy penalties or fines.
Key Features
The government of New Zealand has recently replaced its long-existing Privacy Act of 1993 with a modernized version, the Privacy Act 2020. The New Zealand Privacy Act 2020 (NZPA) will take effect from December 1, 2020.
Key Features
The Personal Data Protection Act, B.E. 2562 (2019) ('PDPA') is Thailand's first consolidated data protection law, which was published in the Thai Government Gazette on 27 May 2019. This law was said to go into effect on 27 May 2020. However, in May 2020, the Thai Cabinet through a Royal Decree has deferred the enforcement of certain data protection provisions of the PDPA until 31 May 2021.
Key Features
In order to protect the data of individuals in South Africa, Parliament assented to the Protection of Personal Information Act (POPIA) on 19th November 2013. The commencement date of section 1, Part A of Chapter 5, section 112 and section 113 was 11 April 2014. The commencement date of the remaining sections (excluding section 110 and 114(4)) was 1st July 2020. As per the Regulator’s Operational Readiness Plan the Regulator will be able to take enforcement actions for the violation of POPIA by July 1st 2021.
Key Features
The DIFC Data Protection Law, 2020 lays down regulations regarding the collection, disclosure and processing of personal data in the DIFC, a special economic zone in Dubai. It also gives rights to individuals whom the personal data relates to and provides power to the Commissioner of Data Protection to enforce the law, enact regulations and approve industry-wide Codes of Conduct.
Key Features
The Australia Privacy Act 1988 (Privacy Act) was enacted to protect the privacy of data subjects and regulate how Australian agencies and organizations with an annual turnover of more than $3 million handle their customers’ personal information.
Key Features
Singapore’s Personal Data Protection Act (PDPA) comprises various provisions governing the collection, disclosure, use, and care of personal data. It recognizes the rights of individuals to have more control over their personal data and the needs of organizations to collect, use, or disclose personal data for legitimate and reasonable purposes.
Key Features
On April 13, 2000, the Personal Information Protection and Electronic Documents Act (PIPEDA) received Royal Assent. It came into force in stages, beginning on January 1, 2001. PIPEDA came fully into effect on January 1, 2004. The legislation applies to organizations that collect, use or disclose personal information in the course of commercial activities.
Key Features
After the invalidation of Privacy Shield, many companies are relying on the SCCs in order to continue transferring data of EU citizens to companies based in countries who are not deemed adequate for data transfer.
After the CJEU judgement, it is clear that these companies have to conduct Risk Assessments with the data recipients in these countries in order to ensure they have enough controls to mitigate any potential data or regulatory risk.
Key Features
On 2nd March, 2019, the Department of Health—Abu Dhabi (DoH), launched the Abu Dhabi Healthcare Information and Cyber Security (ADHICS) Standard. This is the first standard that aims to provide healthcare professionals and entities a comprehensive guide to the regulation of healthcare data in Abu Dhabi. This law ensures the highest levels of privacy and security of patients’ data, in line with international standards, is maintained.
Key Features
On January 31, 2020, the government of Saudi Arabia issued the Executive Regulations to the Saudi E-Commerce Law 2019 (“ECL”) that was in effect since October 2019. The Executive Regulations together with the ECL (“Law”) aim to protect consumers’ personal data by requiring organizations to take appropriate technical and administrative measures.
Key Features
Turkey was one of the first countries to start the trend of legislating data protection. Turkey published “Law on the Protection of Personal Data No. 6698 (LPPD) covering personal data protection on April 07, 2016.” The LPPD is based on the European Union Data Protection Directive 95/46/EC and has several similarities with the GDPR. It aims to give data subjects’ control over their personal data and outlines obligations that organizations and individuals dealing with personal data must comply with. The LPPD has also provided comprehensive guidelines for the transfer of personal data to the third parties.
Key Features
In December 2019, India, following several other countries' footsteps on the privacy laws' developments, introduced the Personal Data Protection Bill (PDPB) to regulate the processing, collection, and storage of personal data.
Key Features
On 13 October 2020, the National People's Congress of the Republic of China submitted the long awaited draft of the Personal Information Protection Law (Draft PIPL) to the Standing Committee meeting for preliminary review. This draft was officially released for the public consultation on 21 October, 2020. The consultation period will last until 19 November 2020.
Key Features
The Irish Data Protection Act, 2018 (Irish DPA) implements the General Data Protection Regulation (GDPR) and transposes the European Union Law Enforcement Directive in Ireland. Since it incorporates most of the provisions from the GDPR and the Law Enforcement Directive with limited additions and deletions as per the national law, it is considered to be the principal data protection legislation in Ireland.
Key Features
The Personal Data (Privacy) Ordinance (Cap. 486) as amended in 2012 (the “PDPO) is the primary legislation in Hong Kong which was enacted to protect the privacy of individuals’ personal data, and regulate the collection, holding, processing, disclosure, or use of personal data by the organizations.. The Data Protection Principles ( the “DPPs or DPP ''), which are contained in Schedule 1 to the PDPO, outline how entities should collect, handle, disclose, and use personal data.
Key Features
In 2012, the Philippines passed the comprehensive privacy law, Data Privacy Act 2012 Republic Act. No, 10173 (the "DPA"). The DPA recognizes the rights of individuals to have more control over their personal data while ensuring a free flow of information to promote innovation and growth.
Key Features
The United Arab Emirates (UAE) has a Federal Telecommunication Law ( Federal Law) which requires that a company must hold a license in order to provide public communications services and operate public telecommunication networks. Under this Federal Law, a Telecommunication Regulatory Authority (TRA) was established which regulates the telecommunication sector in the UAE.
Key Features
- Resources
- Company
