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Multicloud Data Security and Privacy for Hyperscale Environment
Published on March 11, 2021 AUTHOR - PRIVACY RESEARCH TEAM
Recently Srinivas Avarsala, VP, Product Management at Securiti and Norm Fjeldheim, former CIO at Illumina and Qualcomm discussed the challenges of multicloud data security and privacy in hyperscale environment.
Today, multicloud strategy is widely deployed. Research suggests that more than 80% of organizations utilize multiple Cloud Service Providers (CSPs) for various business functions. And it is a key driver for sensitive & personal data to spread across various cloud environments increasing security and privacy risks. In case of multi cloud, security and privacy risks are affected by the following factors:
- Challenge 1: No centralized asset inventory
Separate console for CSPs, SaaS and non-native cloud assets contribute to a distributed asset inventory leading to blindspots in coverage. - Challenge 2: Inconsistent Data Discovery Capabilities
With fragmented data assets, organizations are forced to use various data discovery tools to detect sensitive data in them. Traditional data discovery tools offer limited coverage for sensitive data types and use unique detection technologies which can lead to inconsistent and poor discovery results. - Challenge 3: Unable to detect sensitive data in large data volumes
Traditional data discovery solutions cannot support petabytes of data stored in various data assets. Typical use-case include - cloud data lakes, data warehouses, analytics etc. - Challenge 4: Manual privacy compliance processes
Manual techniques such as surveys and questionnaires for privacy compliance are tedious, inaccurate and can cause higher privacy risks for organizations. - Challenge 5: Complex security and compliance posture
Existing security posture management tools do not provide a sensitive data or data risk perspective for multicloud assets. This may cause false alerts and reduce productivity. To learn about these challenges & solutions, download our on-demand webinar to learn more about these challenges and solutions in much more detail.
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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.
- Discover, classify and label hundreds of sensitive data elements in multicloud and self-managed structured and unstructured data systems at petabyte scale.
- 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.
- 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.
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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- Catalog all data assets
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- Automatic data classification to detect sensitive data such as medical/financial documents and more
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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 valuable insights about compliance risk for PI data across systems
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Simplify and automate universal consent management.
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- Customizable endpoints based on branding, functionality and regulatory requirements
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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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- 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
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- 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
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- Build customized, branded web forms to accept verified data subject rights requests
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Operationalize CCPA 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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Revolutionize LGPD compliance through PrivacyOps
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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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- 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.
- Discover & remediate security misconfigurations - Monitor security posture associated with your cloud assets & enable policies to resolve security risks. Prioritize & remediate risk in assets with specific sensitive data elements
- Mitigate sensitive data exposure - Prevent unauthorized users from accessing sensitive data in data warehouses and databases through static and dynamic masking.
- Track high severity alerts - Review security alerts on a dashboard and prioritize them by severity. Track open alerts to ensure they are remediated.
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
- Regional data type coverage
- Searchable sensitive data catalog
- Industry specific coverage
- Regulation specific coverage
Classify and label data to ensure appropriate security controls
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- Auto data classification
- Auto data labeling
- Purpose based labeling
- Metadata tags
Monitor data security posture and identify external and internals risks to data security
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- Detect data exposure risks
- Identify high risk data assets
- Customizable risk score calculation
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Policy based alerts and remediations to protect data from external and internal threats
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- 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
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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
- 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
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- Assess CCPA readiness
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- Automate data classification & labeling
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- Continuous monitoring and tracking
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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