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Data Discovery with Snowflake: 5 Things You Need to Know
Published on October 5, 2021 AUTHOR - Privacy Research Team
Democratize your data without compromising security and privacy
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Noel Yuhanna
VP, Principal Analyst, Forrester Research, Guest Speaker
Oleg Aspis
Managing Director, TIAA
Raja Balakrishnan
Data Governance Product Lead, Snowflake
Rehan Jalil
CEO and Founder, Securiti
The digital landscape is experiencing exponential growth in data, with 2.5 quintillion bytes being produced every day. Organizations analyze data to discover behaviors, trends, and competition gaps, which further lead to more data patterns.
The opportunities that data creates are indeed enormous, but so are the resulting security, governance, and compliance risks. However, increasing data production and ingestion creates the need for the identification of data risk hotspots, security misconfigurations, unregulated access control, and undefined special attributes that fall under regulatory compliance.
To make sense of all these risks and ensure compliance, an organization first needs to set its data discovery policies and practices by answering the following questions:
- Where data assets are spread across data lakes, data warehouses, managed on-premises infrastructure, SaaS applications, and the multi-cloud?
- Whether the organization has the ability to discover data in structured and unstructured systems?
- Are there any policy-based, security, or privacy-based labels assigned to data?
- Is the data cataloged under a single searchable repository?
- Are all special attributes identified across data sets for regulatory compliance?
Data Discovery Problems in Snowflake Data Warehouse
Due to excessive data proliferation, organizations find it more expensive to store and analyze data using on-premise hardware infrastructure, especially at a petabyte-scale.
To reduce cost, companies are moving to cloud storage service providers. With this move, companies are not only saving 15% of their overall IT costs but also shifting 94% of their workload processing to cloud-based data centers.
Snowflake is helping organizations resolve their data silos problem and bring all their data applications, data warehouses, and data lakes together under one platform: a hyper-scale cloud storage solution.
However, discovering and classifying data becomes increasingly difficult to control as this massive data volume moves to the cloud.
Ever Growing Data Sprawl
Can the existing data in the Snowflake database provide complete context, and thus, help derive meaningful results? When data exists across a multitude of data assets and data stores, it is prone to data sprawl. The absence of a unified catalog of data that can map sensitive data, and understand its context, creates complications. This absence also leads to frustration and confusion amongst teams as it impedes their ability to identify data risk hotspots or compliance gaps.
Analysis Paralysis
Data discovery and classification is the first step in data analysis. Data analysts and scientists spend a lot of time and effort manually sorting, tagging, labeling, and cataloging data in the Snowflake data warehouse. Paralysis by analysis occurs when data scientists have to analyze a mass amount of data, scattered all over the place.
Automation takes the consequences of ‘information overload’ out of the equation. It adds speed and efficiency to the process, enabling data scientists to shift their focus from data discovery and classification to more important tasks like extracting key insights from a catalog of classified and categorized data.
Vague Data Taxonomy
Efficiency in data discovery comes from effective data classification. This helps data scientists to group the data into content-based or context-based categories which further help them determine which data in the Snowflake database is at low, moderate, or high risk. However, effective classification requires well-defined data taxonomy, but taxonomies may vary by region or industry.
Some organizations have vague taxonomies that open the context or meaning of the data element to many interpretations. This further complicates things when data scientists need to map the data or recall it to, for example, fulfill data subject requests.
Manual Data Classification
There can be over a trillion bytes of data in a Snowflake data warehouse. Manually classifying and tagging data creates a lot of complications. It is not only labor-intensive, but it also requires a lot of time.
Moreover, data classification isn’t a one-off activity as data doesn’t remain static. The dynamic nature of data requires continuous scanning which is only feasible with automation.Moreover, data classification isn’t a one-off activity as data doesn’t remain static. The dynamic nature of data requires continuous scanning which is only feasible with automation.
Automation takes the load off of team members and enables data discovery and classification at petabyte scale.
Ineffective Attribute Identification
Not every data is liable for regulatory compliance. Regulatory Laws, such as the GDPR, have defined certain types of data as personal or sensitive personal data. Sensitive personal data requires additional protection by law. To meet regulatory requirements, organizations must identify special attributes during data classification and cataloging. By identifying those attributes and mapping them to the right owners or users, Snowflake users can set access controls, avoid security risks, and ensure compliance.
Securiti Equips Snowflake Users with AI-Driven Automated Data Discovery and Classification Solution
Securiti’s solution for Snowflake utilizes AI to automate data discovery, classification, and cataloging across all data assets in the Snowflake data warehouse.
Securiti’s native Snowflake connector allows seamless integration. This helps users to discover data assets on-premise and cloud storage efficiently. Identify personal and sensitive attributes with an advanced built-in detection system.
With predefined categories and data taxonomies, Snowflake users can automate the classification process and effectively identify personal and sensitive attributes that fall under security and privacy frameworks.
Resulting Benefits
- Significantly reduce manual labor that otherwise goes into classification and cataloging
- Reduce security and privacy compliance risks resulting from manual practices
- Automate regulatory compliance for personal and sensitive information
Read here how Securiti helps organizations enable innovation on the cloud with autonomous data discovery, security, and compliance.
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Break Silos of Sensitive Data & Risk Understanding across Multicloud and self managed systems. Common grammar, policies and reporting
Key Features
- Detect shadow & native data assets across major cloud service providers (AWS, Azure, GCP, OCI) & extract them into an asset catalog.
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- Search and visualize distribution of sensitive data elements in your structured & unstructured data systems. Synchronize with any third-party data catalogs to populate metadata associated with tables or columns.
- Build a relationship map between discovered personal data and its owners. Enable timely and accurate fulfillment of DSRs, breach notifications and consent reports.
- Detect security posture and misconfigurations associated with your multicloud & SaaS data assets. Assess data security risks and enforce appropriate remediation.
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Find data assets, and discover personal and sensitive data in structured and unstructured data systems, across on-premises and multi-cloud.
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Classify & label data to ensure appropriate security controls are enabled on most sensitive data in your organization
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Collect, organize, enrich and build a data catalog to address privacy, security and governance solutions
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Connect to structured and unstructured data sources and automatically discover and build a relationship map between personal data and its owner.
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Assess risk scores for every data asset, asset location, or personal data category
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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
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Google Cloud Storage -
Google BigQuery -
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Google Cloud Firestore - And More
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Azure Files -
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Azure Table Storage - And More
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OCI Object Storage -
OCI Autonomous Data Warehouse Cloud -
OCI Database Cloud Service -
OCI DB - Bare metal -
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OCI MySQL -
OCI NoSQL - And More
Auto discover personal data in Snowflake and enforce access governance
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Auto discover personal data in Snowflake and enforce access governance
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- Detect 120+ personal data attributes across various industries, regions and regulations
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- Automated data subject rights fulfillment
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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.
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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.
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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
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Enable privacy by design through the AI driven PrivacyOps platform
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Connect to structured and unstructured data sources and automatically discover and build a relationship map between personal data and its owner.
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Audit once and comply with many regulations. Collaborate and track all internal assessments in one place.
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- Audit once and comply with many regulatory requirements
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Automation of privacy assessment collection from third parties, collaboration among stakeholders, follow-ups and compliance analytics.
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Automate global cookie consent compliance.
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Simplify and automate universal consent management.
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Automate the incident response process by gathering incident details, identifying the scope and optimizing notifications to comply with global privacy regulations.
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Keeping privacy notices up-to-date made easy
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Operationalize GDPR compliance with the most comprehensive PrivacyOps platform
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- Build customized, branded web forms to accept verified data subject rights requests
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- Maintain an accurate data catalog, map data flows and generate article 30 reports
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- Build customized, branded web forms to accept verified data subject rights requests
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- Maintain an accurate data catalog, map data flows and generate article 30 reports
- Meet cookie compliance requirements
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- 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
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- 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
- Security
- FeaturesView
BackIdentify data risk & enable protection and control
Key Features
- Uncover data risk - Identify data risk hotspots in your environment with a clear breakdown of risk drivers such as specific data elements, data locations, user residencies and more.
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Discover data assets, detect & catalog sensitive data in it
Key Features
- 100s of out-of-box detectors
- Support for 200+ apps and data asset types
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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
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Policy based alerts and remediations to protect data from external and internal threats
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Investigate data security issues and take remediation actions
Key Features
- Investigate root cause of data security issues
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- 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
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- Discover personal data
- Catalog structured and unstructured data
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- Continuous monitoring and tracking
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- Enable opt-out mechanisms
- Monitor and track consent
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- Map data to discover sensitive personal information and catalog it
- Automate data classification & labeling
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- Monitor and track consent
- Enable Opt-out Mechanisms
- Continuous monitoring and tracking
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- Manage vendor risk
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- Map data flows and generate article 30 reports
- Manage vendor risk
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- Meet cookie compliance
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- Assess LGPD readiness
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- Automate the processing of rectification requests
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- Continuous monitoring and tracking
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- Map data flows
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- Customize a data subject rights request portal for seamless customer care
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- Automate data subject access request handling
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- Automate objection and restriction of processing requests
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- Automate People Data Graph
- Meet cookie compliance
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- Secure fulfillment of data access
- Automate the processing of rectification requests
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- 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
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- Monitor and track consent
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- Automate the processing of rectification requests
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- Meet cookie compliance
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- Assess LPPD readiness
- Map data flows
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- Secure fulfillment of data access
- Automate the processing of rectification requests
- Automate erasure requests
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- 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 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
- Customize DSR Request Portal
- Automate Data Subject Access Request Handling
- Secure Fulfillment of Data Access
- Automate Processing of Rectification Requests
- Automate Erasure Requests
- Automate Objection & Restriction of Processing Requests
- Continuous Monitoring & Tracking
- Automate People Data Graph
- Meet Cookie Compliance
- Monitor & Track Consent
- Assess PIPA Readiness
- Map Data Flows
- Manage Vendor Risk
- Breach Response Notification
- Customize DSR Request Portal
- Automate Data Subject Access Request Handling
- Secure Fulfillment of Data Access
- Automate Processing of Rectification Requests
- Automate Erasure Requests
- Automate Objection & Restriction of Processing Requests
- Continuous Monitoring & Tracking
- Automate People Data Graph
- Meet Cookie Compliance
- Monitor & Track Consent
- Assess Japan APPI 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 processing of rectification requests
- Automate erasure requests
- Automate objection and restriction of processing requests
- Continuous monitoring and tracking
- Automate People Data Graph
- Meet cookie compliance
- Monitor and track consent
- Assess Qatar DPL 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 processing of rectification requests
- Automate erasure requests
- Automate objection and restriction of processing requests
- Continuous monitoring and tracking
- Automate People Data Graph
- Meet cookie compliance
- Monitor and track consent
- Assess Bahrain PDPL readiness
- Map data flows
- Manage vendor risk
- Breach Response Notification
- Privacy Policy & Notice Management
- Customize a data subject rights request portal for seamless customer care
- Automate data subject access request handling
- Secure fulfillment of data access
- Automate processing of rectification requests
- Automate erasure requests
- Automate objection and restriction of processing requests
- Continuous monitoring and tracking
- Automate People Data Graph
- Meet cookie compliance
- Monitor and track consent
- Assess Bahrain PDPL readiness
- Map data flows
- Manage vendor risk
- Breach Response Notification
- Privacy Policy & Notice Management
- Customize a data subject rights request portal for seamless customer care
- Automate data subject access request handling
- Secure fulfillment of data access
- Automate processing of rectification requests
- Automate erasure requests
- Automate objection and restriction of processing requests
- Continuous monitoring and tracking
- Automate People Data Graph
- Meet cookie compliance
- Monitor and track consent
- Assess Bahrain PDPL readiness
- Map data flows
- Manage vendor risk
- Breach Response Notification
- Privacy Policy & Notice Management
- Customize a data subject rights request portal for seamless customer care
- Automate data subject access request handling
- Secure fulfillment of data access requests
- Automate processing of rectification requests
- Automate erasure requests
- Automate objection and restriction of processing requests
- Continuous monitoring and tracking
- Automate People Data Graph
- Meet cookie compliance
- Monitor and track consent
- Assess Saudi PDPL readiness
- .. and more
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
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
Securiti enables organizations to meet multiple regulations around the world and helps with compliance requirements through AI-driven PI data discovery, DSR automation, documented accountability, enhanced visibility into data processing activities and AI-driven process automation.
Securiti is a complete PrivacyOps Solution.
View all solutionsThe 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 California Privacy Rights Act (CPRA) will take effect from January 1, 2023, and will apply to personal information collected on or after January 1, 2022. Enforcement of the CPRA will start six months later (July 1, 2023). The CPRA builds upon the CCPA, strengthening user privacy for California residents.
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.
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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
China has complex data protection and data security regime, however, the following are three main laws that primarily cover China’s data protection and data security regulatory framework. These laws are:
Frameworks
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
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
South Korea has a general law and several special laws that cover data protection and individuals' privacy. South Korea's data protection regime is considered one of the strictest data protection regimes owing to its notification requirements, opt-in consent, extensive data subject rights, mandatory data breach notifications, and heavy sanctions in case of non-compliance.
Key Features
The Act on the Protection of Personal Information (the "APPI'') regulates personal related information and applies to any Personal Information Controller (the “PIC''), that is a person or entity providing personal related information for use in business in Japan. The APPI also applies to the foreign PICs which handle personal information of data subjects (“principals”) in Japan for the purpose of supplying goods or services to those persons.
Key Features
Qatar is the first gulf country that has passed a national data privacy law and has paved the way for all other gulf countries to follow suit. In 2016, Qatar enacted Law no. 13 Concerning Personal Data Protection (the “DPL”). Qatar became the first Gulf Cooperation Council (GCC) member state to issue an “European Style” applicable data protection law. The DPL establishes a certain degree of personal data protection, provides data subject rights, and prescribes the guidelines for organizations for the processing of personal data within Qatar.
Key Features
Bahrain has become a part of the countries that have enacted a data privacy regulation to protect the rights of their residents. On 12 July 2018, Bahrain drafted its law on data protection regulation, Law No. 30. This then went on to go into effect on the 1st of August 2019 as the Bahrain Personal Data Protection Law (PDPL) and supersedes all other laws. The PDPL 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 purposes.
Key Features
After the Success of the California Consumer Privacy Act (CCPA) in California, Virginia is now following the same path. The Virginia Consumer Data Protection Act (VCDPA) has been passed and will go into effect on 1st of January 2023. This law is closely designed after the newer California Privacy Rights Act (CPRA) but with a few significant and important differences.
Key Features
After the VCDPA in Virginia, Colorado has closely followed suit and has passed their own comprehensive data privacy law to protect the personal data of the residents of Colorado.The Colorado Privacy Act (CPA) was signed into law on the 8th of July, 2021 and has been modelled closely after the VCDPA.
Key Features
Saudi Arabia has drafted a data privacy regulation to protect the personal data of individuals in Saudi Arabia. This law was approved by the Council of Ministers in Saudi Arabia and is named the Personal Data Protection Law (the “PDPL”).
Key Features
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