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Sensitive Data Intelligence Driven Privacy and Protection
Published on October 28, 2020 AUTHOR Srinivas Avasarala
At Securiti we are excited to announce the availability of our newest offering Sensitive Data Intelligence that expands our product portfolio of privacy management software to address the challenges of data governance, risk and security teams, in a single comprehensive platform.
Data has become the driving force behind the new economy, with enterprises focused on leveraging data to find new ways to deliver value to their customers and generate new revenue streams. At the same time, the amount of data is increasing at a staggering rate. An average enterprise has over 400+ different data systems, that are spread across on-premises file shares, databases, enterprise data warehouses, cloud storage solutions, SaaS applications, cloud data warehouses, cloud data lakes for machine learning based analytics, and more. This data sprawl creates multiple challenges for large organizations.
Major business initiatives and projects undertaken by organizations, while deriving significant value from the underlying data, need to consider the privacy, risk, and security implications of the huge volumes of data they collect and process. Through conversations with our partners and customers, we found some typical scenarios where they were struggling with these issues.
- Data lake projects: Companies are increasingly leveraging data science to run new types of machine-learning based analytics on raw data combined from a variety of sources into data lakes. But visibility into the types of data present in the lake is very limited. This is significant when building self-serve models for data consumption with strong data governance and access policies.
- Cloud Data migration projects: Digital transformation initiatives by CIOs are typically cloud driven and involve either migrating data from their on-premises to the cloud or standing up new apps and workloads in multi-cloud environments. They need to understand what personal or sensitive information is in their environment to enable go/no-go migration decisions. The flexible consumption model of the cloud makes it challenging to maintain an up-to-date inventory of the data assets, the data within the assets and the controls on the assets.. Post-migration, organizations will need to rely on automated mechanisms to monitor and manage this data..
- Secure and Privacy-aware SDLC initiatives: In the new economy, every company regardless of its industry vertical is also a software company, as they build and deliver solutions and services to their customers digitally. Privacy by Design and Secure SDLC initiatives have helped raise developer awareness for privacy and security requirements early in the development process. But agile development methodologies present challenges as new data collection/storage or data leaks to application logs get introduced periodically, requiring continuous monitoring of devtest, staging and production environments.
- Data mapping initiatives: Privacy compliance programs require businesses to maintain a record of their data processing activities. Privacy teams that have historically relied on manual questionnaires completed by data owners, are looking to evolve their processes with automated data discovery and controls given the dynamic nature of the data. This keeps their records more accurate and up-to-date.
- Data subject request fulfillment projects: B2C companies in verticals such as retail, travel, health, and financial services that serve 10’s of millions of customers are now burdened with requirements from privacy laws that grant users access rights to their requests. With the increasing number of data breaches, the volume of such access requests from users is trending up. And privacy teams along with their IT colleagues need to invest in automated tools that can detect and link personal data to specific identities.
Sensitive Data Intelligence
Organizations today rely on a combination of manual methods, repurposed legacy data discovery tools, and point products to address the above challenges. These have proven to be inadequate or ineffective. With Sensitive Data Intelligence, we provide our customers a single platform with the following comprehensive capabilities:
- Automated discovery of data assets across the enterprise, including on-premises, hybrid and multi-cloud environments.
- Out of the box detection of 100+ personal data attributes across over a dozen categories including Government IDs, Device IDs, Online IDs, Finance, Legal, Medical, etc. This includes special categories of data defined by GDPR and other privacy laws.
- Data risk scoring to provide a risk-centric approach to manage the data being collected and processed. The proprietary model leverages risk factors such as data type, data location, data subject’s residency, and volume of data and can readily be extended. The solution allows customers to easily find hotspots and direct remediation efforts appropriately. Risk score trends also surface indicators of risk such as copies of data, and cross-border transfers of data.
- Structured data analysis with insights on data types and volumes across databases, schemas, and tables.
- Unstructured data classification using machine learning based techniques into easily recognizable categories (Sales, Medical, HR, etc), types (Medical consent form, IRS tax form, etc), and formats. Additionally, organizations can define their own schemes using rules-based Content Profiles. A library of built-in profiles such as PCI, PII, PHI, GLBA, and FERPA help customers get out of the gate running.
- Labeling of files using sensitivity labels from your Microsoft Information Protection subscription. Additionally tagging with privacy related metadata such as categories of personal data, categories of subjects, and purpose.
- A policy engine to automate and orchestrate controls on the various data stores using a built-in library of policy templates mapped to regulatory citations and standard controls.
This is the beginning of our journey and we will soon be expanding the solution with additional automation that brings increased levels of efficiency to privacy, data governance, risk and security teams. Check out our brochure for more details.
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- 100s of out-of-box detectors
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- 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
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- Find data owners & fulfill DSRs in a timely manner
- Review and revoke excessive privileges
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- Auto detect sensitive files and classify them
- Catalog & search unstructured data
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- Find data owners & fulfill DSRs in a timely manner
- Discover personal data
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- Classify and label data
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- Update Data Maps & Article 30 reports
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- Monitor data risk
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- Reveal all sensitive data records
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- Find data owners & fulfill DSRs in a timely manner
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- Continuous monitoring and tracking
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- Automate processing of rectification requests
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- Automate object and restriction of processing requests
- Continuous monitoring and tracking
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- Meet cookie compliance
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- 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
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- Automate the processing of rectification requests
- Automate erasure requests
- Automate object and restriction of processing requests
- Continuous monitoring and tracking
- Automate People Data Graph
- Meet cookie compliance
- Monitor and track consent
- Assess PDPA readiness
- Map data flows
- Manage vendor risk
- Breach Response Notification
- Customize a data subject rights request portal for seamless customer care
- Automate data subject access request handling
- Secure fulfillment of data access and port requests
- Automate the processing of rectification requests
- Automate erasure requests
- Automate object and restriction of processing requests
- Continuous monitoring and tracking
- Automate People Data Graph
- Meet cookie compliance
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- Automate data subject access request handling
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- Automate the processing of rectification requests
- Automate erasure requests
- Automate object and restriction of processing requests
- Continuous monitoring and tracking
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- Automate data subject access request handling
- Secure fulfillment of data access and port requests
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- Continuous monitoring and tracking
- Automate People Data Graph
- Meet cookie compliance
- Monitor and track consent
- Assess PDPA readiness
- Map data flows
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- 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
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- Automate processing of rectification requests
- Automate erasure requests
- Continuous monitoring and tracking
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- Monitor and track consent
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- 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
- Automate the processing of rectification requests
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- Continuous monitoring and tracking
- Automate People Data Graph
- Meet cookie compliance
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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
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- Automate the processing of rectification requests
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- Meet cookie compliance
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- Map data flows
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- 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
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- 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
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- 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
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- Secure Fulfillment of Data Access
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- Automate Erasure Requests
- Automate Objection & Restriction of Processing Requests
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- Map Data Flows
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Key Features
The Lei Geral de Proteção de Dados (LGPD) is modeled with similarities to the General European Data Protection Regulation (GDPR) and contains sixty-five articles. It was approved on August 14, 2018 and its validity has undergone several changes, the last relevant fact being MPV 959. LGPD is in effect since September 18, 2020. The sanctions by the ANPD (Brazilian Data Protection Authority) were postponed to August 2021. The LGPD allows people have more rights over their data and expects organizations to comply with their regulations or face heavy penalties or fines.
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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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