Sensitive data is the foundation of your organization’s intellectual property, revenue stream, and competitive advantage. That makes it imperative to protect your data from all types of internal and external threats, from disgruntled or careless employees to cybercriminals motivated by money or malice. There are also compliance issues and new security regulations that organizations need to consider. Data breaches result in billions of dollars being spent on lawsuits or on legal penalties.
Data security and privacy challenge organizations to meet different but very critical and complementary issues: Data security governs access to data throughout its lifecycle, whereas data privacy defines that access based on privacy policies and laws—for instance, who views personal, financial, health, or confidential data. Both are challenged today with the growth and proliferation of data from cloud, analytic, and big data initiatives, and the continued barrage of data breaches.
MAGNOOS considers a data-centric approach by securing the data at its source, you can minimize risk throughout your business and protect data as it moves across your organization, in and out of applications, wherever the data is consumed by the business or shared with business partners.
MAGNOOS security solutions detect and protect critical data across the enterprise; lowering risk associated with cloud modernization, Hadoop, customer centricity, and data governance initiatives. Gain actionable data discovery & classification, risk scoring, behavioral analytics, and automated protection for structured, unstructured, cloud, big data, and relational systems.
MAGNOOS along with Informatica offers the following solutions to provide data security and privacy controls to prevent unauthorized access to and disclosure of sensitive, private, and confidential information:
Dynamic Data Masking de-identifies data and controls unauthorized access to production environments. Dynamically masks sensitive information and blocks, audits, and alerts end users, IT personnel, and outsourced teams who access sensitive information while ensuring compliance with privacy regulations.
IT organization can apply sophisticated, flexible data masking rules based on a user’s authentication level.
Cost-Effectively Protect Business Applications and Production Databases
Quickly Customize Security Solutions for Maximum ROI
Support Outsourcing and Cloud Initiatives While Protecting Information
Provides secure, automated provisioning of non-production datasets to meet the needs of testing and development teams. IT organizations can achieve shorter development cycles and faster deployment while improving compliance with data privacy regulations.
Reduce Risk of Data Breaches
Improve the Quality of Development, Testing, and Training Activities
Support Compliance with Data Privacy Mandates and Regulations
Analysing the data vulnerability provides insights into sensitive data risks by automating the process of collecting all the information around sensitive data, analyzing, monitoring, and providing a 360-degree view of sensitive data risk. This enables security and IT teams to rapidly apply the right policies and controls to the most critical data. It replaces costly, time-consuming manual efforts with automated discovery, identification, detection, scoring, and analysis of sensitive data risks.
Organizations can interactively analyze the top data stores, departments, and location with the highest risks as well as visually trace the sources of unprotected sensitive data and the replication of sensitive data across data stores in the organization. By continuously monitoring, tracking, and trending standardized risk scores for each data store, in each department, and across the enterprise, organizations can measure progress for each group as well as in aggregate over time.
Prioritize Security Investments
Eliminate Costly, Error-Prone Manual Efforts
Streamline Sensitive Data Audit and Governance
Visibility to Sensitive Data Proliferation