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Autonomous Data Intelligence, Governance, Privacy, & Protection for the Snowflake Data Cloud
Published on September 20, 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
As progressive organizations move toward digital transformation, they realize the importance of utilizing data to uncover valuable insights that can improve customer satisfaction, retention, and ultimately, their bottom line. Snowflake has revolutionized data processing and analytics by designing a multi-layered architecture that can process multiple requests concurrently.
The downside of collecting and saving customer data is the escalating risk of the data being misused, accessed by unauthorized individuals, or worse, stolen by cybercriminals. This additional risk creates the need for a robust solution that can ensure data security in the snowflake data cloud using advanced A.I. and automation.
After several conversations with Snowflake customers, industry experts, and analysts, Securiti identified several data protection, privacy, and governance challenges in the Snowflake Data cloud. Let’s explore the major ones we uncovered.
Major Data Management Challenges in the Snowflake Data Cloud
We condensed our findings into five major points:
- Personal and Sensitive Data Discovery - Accurately and consistently discovering data sets with personal or sensitive information to guide governance and protection efforts.
- Sensitive Data Classification & Protection - Enabling Data Engineers to classify and protect sensitive data within data pipelines before sharing it with data analysts.
- User Access & Data Usage Management - Managing user access and usage of sensitive data. Admins need to ensure only authorized individuals can access or use personal data for approved purposes only.
- Sharing Sensitive Data - Easily sharing data sets internally and externally by masking personal and sensitive data, therefore reducing risks.
- Monitoring Security Misconfigurations - Continuously monitoring security configurations to prevent data security breaches.
Why Securit’s Solution for Snowflake?
Securiti partnered with Snowflake to address these challenges with a solution that integrates natively with the Snowflake data cloud and allows admins to manage data privacy, protection, and governance in one solution. Let’s find out how the solution solves each challenge.
Personal and Sensitive Data Discovery in Snowflake
Securiti’s solution for the Snowflake Data Cloud utilizes Data Intelligence to discover Personal and Sensitive personal data in structured or unstructured databases. The solution leverages various AI/ML techniques to combine signals and identify sensitive data with high accuracy. For example, it uses Named entity recognition (NER) to detect multi-part names or locations.
For unstructured databases, the solution can discover sensitive data in a large string data type column. For example, the column might have documents with sensitive personal data in them. If undetected, organizations may inadvertently disclose this sensitive data to unauthorized individuals.
Securiti’s solution can also create sensitive data catalogs, enrich them with metadata, create data risk graphs to visualize risk contributors and create people data graphs that show every shred of personal information in an intuitive visualization.
Sensitive Data Classification and Protection in Snowflake
After discovering sensitive data, the next challenge is to classify this data and apply controls to protect it from unauthorized access. These controls are essential because there might be instances where data analysts require access to tables that might contain sensitive data.
For example, data analysts need to calculate the number of customers who have saved their credit card information. In this instance, data engineers need to classify the personal data in the table that is sensitive (credit card numbers, expiration dates, CVC codes) and apply protection controls (data masking). After this process is complete, data engineers can give data pipeline access to data analysts.
User Access & Usage Management in Snowflake
Securiti’s solution for Snowflake includes powerful Data Governance features that implement user access and usage controls at a granular level. Admins can enforce user/role-based policies that dictate which users can access or use sensitive data. The unique advantage of Securiti’s solution is that admins can manage these controls in one window. The solution also includes comprehensive dashboards that provide deep insight into user access and usage controls.
Enabling Secure Sensitive Data Sharing For Snowflake
Before organizations can share any data with internal or external stakeholders, they must obfuscate or ‘mask’ all sensitive data to ensure it is not exposed to unauthorized individuals. Securiti’s solution for Snowflake can deploy both dynamic and static data masking policies to secure sensitive data. These policies are based on user roles and the type of data that is being shared.
Static data masking involves setting up a separate shielded database or a ‘dummy database’ that includes value-less data at load time. This way, the organization’s original database remains untouched and secure, and any sensitive data in the shielded database is rendered useless because it is masked. Static data masking is useful when organizations need to share data with external companies for research or purposes.
For example, if a healthcare business wants to share its data with an NGO for medical statistics research, or an e-commerce business needs to share information with market researchers to guide future strategy.
Dynamic data masking is a technique that obscures sensitive data within data streams. Security policies drive dynamic data masking. So, when any data access request is received, the solution checks the requestor’s role against the security policy and dynamically masks any sensitive data before the requestor can access it.
For example, internal employees may be trying to troubleshoot or update a production database. They do not need access to sensitive data (Names, Credit Card Numbers, etc.) to complete this task. Dynamic data masking obscures the information so that these employees work with harmless data as they manipulate a database.
Monitoring Security Misconfigurations in Snowflake
With hundreds of Snowflake users, data administrators find it hard to manage security configurations for each one. For example, there might be policy changes that restrict access to data for specific user roles. Data administrators need to detect and remediate every misconfiguration to ensure data governance policies are enforced effectively. Furthermore, data administrators can enable multi-factor authentication for all users from Securiti’s solution from Snowflake.
The solution also enables policy creation and automatic implementation of those policies. For example, if a user somehow accesses a restricted data table, a notification is sent to administrators automatically. Admins can then remediate the policy and involve relevant stakeholders to investigate the incident.
Fulfilling Privacy Obligations and Ensuring Privacy Law Compliance
In addition to solving the challenges mentioned above, Securiti’s solution for Snowflake offers tools like Data Mapping Automation, DSR Fulfillment automation, Assessment Automation, Breach Lifecycle Management, and Workflow Orchestration. These tools are essential in ensuring compliance with all major privacy laws.
To find out more about how Securiti can help, head over to our Snowflake solution page.
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- Data IntelligenceBack
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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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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AWS S3 -
Amazon RDS (MySQL, PostgreSQL, Oracle, SQL Server, and MariaDB) -
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Amazon Aurora Postgres -
Amazon DynamoDB -
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Amazon Elasticsearch - And More
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Auto discover personal data in Snowflake and enforce access governance
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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 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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Maintain your Data Catalog with continuous automated updates
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Automate data subject rights request fulfillment and maintain proof of compliance
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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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- Secure creation of PI graph while preventing PI sprawl
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- 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.
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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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- Honor opt-out requests by automatically blocking non-essential cookies without any additional code
Simplify and automate universal consent management.
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- Make timely notifications using pre-built templates to reduce risk
Keeping privacy notices up-to-date made easy
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- 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
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- 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
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- Build customized, branded web forms to accept verified data subject rights requests
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- 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
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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
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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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- Data risk visualization & attribution
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
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- Investigate root cause of data security issues
- Policy creation from incidents
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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
- 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
- Discover personal data
- Catalog structured and unstructured data
- Classify and label data
- Protect PII and PHI
- Update Data Maps & Article 30 reports
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- Monitor data risk
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- Discover sensitive data
- Reveal all sensitive data records
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- 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
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- 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
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- Map data to discover sensitive personal information and catalog it
- Automate data classification & labeling
- Automate data subject rights requests for a seamless customer experience
- Monitor and track consent
- Enable Opt-out Mechanisms
- Continuous monitoring and tracking
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- Manage vendor risk
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- Customize a data subject rights request portal for seamless customer care
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- Continuous monitoring and tracking
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- 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
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- 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
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- 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
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- 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
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- Monitor and track consent
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- Map data flows
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- 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
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- 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
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- Manage vendor risk
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- 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 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.
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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.
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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.
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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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