Javier Orozpe’s Post

Surveillance with the Data Compliance & Governance Portfolio #digital #empresas #pequeñasempresas #negocios #finanzas #seguros #seguridadinformática #sistemas #tecnología #ti #tic #tecnologiadelainformacion #timexico #ciso #cio #cto #ceo #comprador #compras #marketingdigital #cybersecurity #cloudsecurity #cloud #azure #aws #security #datasecurity #hybridcloud #cloudcomputing #devops #microsoft #future #scienceandenvironment #research #science #ai #artificialintelligence #artificialintelligence #machinelearning #bigdata #infosec #datacenter #economía #ventas #data #ibm #cyber #privacy #databreach #informationsecurity #dataprotection #infrastructure #manufacturing #experience #videovigilancia #videoconferencia

Introducing Veritas Dark Data Assessment #digital #empresas #pequeñasempresas #negocios #finanzas #seguros #seguridadinformática #sistemas #tecnología #ti #tic #tecnologiadelainformacion #timexico #ciso #cio #cto #ceo #comprador #compras #marketingdigital #cybersecurity #cloudsecurity #cloud #azure #aws #security #datasecurity #hybridcloud #cloudcomputing #devops #microsoft #future #scienceandenvironment #research #science #ai #artificialintelligence #artificialintelligence #machinelearning #bigdata #infosec #datacenter #economía #ventas #data #ibm #cyber #privacy #databreach #informationsecurity #dataprotection #infrastructure #manufacturing #experience #videovigilancia #videoconferencia

🔒 Compliant Data Warehousing: Navigating Regulatory Landscapes with Datengile! 🌐🛡️ Explore how we ensure compliance: 🔍 Regulatory Adherence: Keeping data in line with industry standards and regulations! #DataCompliance #DatengileSecurity 📈 Data Governance: Structuring and managing data for compliance and integrity! #DataGovernance #RegulatoryStandards 🔧 Security Protocols: Implementing robust security measures for data protection! #DataSecurity #CompliantWarehousing 💡 Audit Readiness: Preparing for audits with meticulous data handling! #AuditPreparation #ComplianceMeasures Experience compliant data warehousing with Datengile's expertise! 💻 #DatengileCompliance #RegulatoryData

Data governance refers to a set of practices, policies, and processes to ensure data quality, integrity, security, and accessibility within an organization. This involves outlining roles, responsibilities, and procedures for managing data assets throughout their lifecycle.

Need for Data Management life cycle ! Data Lifecycle Management (DLM) is a policy-based approach of best practices to oversee the flow of an information system's data through its lifecycle, from creation to deletion. It includes stages such as storage, backup, archiving, and disposal and is employed by organizations that manage sensitive, private data subject to regulatory compliance. The purpose of DLM is to guarantee that data is accessible to the appropriate users at the appropriate time. As the amount of data generated by businesses grows exponentially, the importance of managing data effectively and securely becomes increasingly crucial. A well-implemented DLM strategy can help organizations mitigate the risk of unauthorized access to sensitive data and data corruption due to malware and other infections. With datalake growing in terms of its total size and the number of users accessing, we have below challenges in current state. -> Who writes what into datalake ? -> Who reads what from datalake ?  -> Should any given user have access to read/ write into table ?  -> Who is the owner of a table ?  -> When a table was last accessed , if not accessed can it be deleted ?  -> If a table is not accessed frequently can it be moved to glacier or completely deleted to save cost ? -> Are we complying with all the regulations pertained to data ?  -> Are theore clear policies defined to be enforced on data for each regulatory complainces like SOX, CCAP and GDPR ?  The vision is to have a framework that governs the datalake from the moment any dataset is ingested into datalake and makes sure, it has table owner metadata, policy of the data that is enforced by the table owner , the policy is followed automatically by the governance tool and deletes the data/ table when it expires or when policy suggests We will see more posts in detail on this topic ! #tamilJayInuit #spark #aws #cloud #datalake #dataengineering

The Role of Dynamic Data Masking in Securing Big Data Environments - TS2 Space: In the digital age, the protection of data has become a paramount concern for businesses across the globe. As companies increasingly rely on big data ... #bigdata #cdo #cto

Today I will cover the new A.8.11 ISO 27001 control "Data Masking" and how it impacts the people, processes, and technology within your organization. Description - This control requires you to use data masking together with access control in order to limit the exposure of sensitive information. This primarily means personal data, because it is heavily regulated through privacy regulations, but it could also include other categories of sensitive data defined by your organization. #People - People will be tasked with adhering to defined processes. This would include performing the data masking activities and properly categorizing data. #Process - Processes should be documented to properly define what is required to be masked, who can access the data, and how the data is masked. When developing the process the following should be taking into consideration: - The level of pseudonymisation and/or anonymisation required, relative to the nature of the data. - How the masked data is being accessed. - Any binding agreements that restrict use of the data to be masked. - Keeping the masked data separate from any other data types, in order to prevent the data subject being easily identified. - Logging when the data was received, and how it has been provided to any internal or external sources. #Technology - Organizations may need to invest in tools for pseudonymization or anonymization in order to mask data if this is required by privacy or other regulations. Other methods like encryption or obfuscation can also be used. Common tools used would include Oracle Data Masking, Delphix, and IBM InfoSphere Optim. #iso27001

IBM Report: Average Cost of a Data Breach Rises to $4.45 Million - TechRepublic: IBM provides insight on the rise in the average cost of data breaches ... A dedicated incident response team or partner can make a big difference. #bigdata #cdo #cto

Safeguarding Your Data: A Simple yet Effective Backup Script #bashscripting #cloudengineer #devopsengineer

Veritas Alta™ Data Protection #digital #empresas #pequeñasempresas #negocios #finanzas #seguros #seguridadinformática #sistemas #tecnología #ti #tic #tecnologiadelainformacion #timexico #ciso #cio #cto #ceo #comprador #compras #marketingdigital #cybersecurity #cloudsecurity #cloud #azure #aws #security #datasecurity #hybridcloud #cloudcomputing #devops #microsoft #future #scienceandenvironment #research #science #ai #artificialintelligence #artificialintelligence #machinelearning #bigdata #infosec #datacenter #economía #ventas #data #ibm #cyber #privacy #databreach #informationsecurity #dataprotection #infrastructure #manufacturing #experience #videovigilancia #videoconferencia