One Article Review
| Source |  ProofPoint |
|---|---|
| Identifiant | 8455395 |
| Date de publication | 2024-02-26 05:03:36 (vue: 2024-02-26 14:07:31) |
| Titre | Les tenants et aboutissants de la confidentialité des données, partie 2: confidentialité par conception en protection de l'information The Ins and Outs of Data Privacy, Part 2: Privacy by Design in Information Protection |
| Texte | This is the second blog in a two-part series about data privacy. In our previous post, we discussed how data privacy has become increasingly important. And we covered why data loss protection (DLP) and insider threat management (ITM) tools are critical to ensuring data privacy. The shift to “work from anywhere” and the increase in cloud adoption have caused a rise in data loss and insider threats. To defend data from careless, malicious and compromised insiders-and the harm that they cause-security teams must implement data security tools like data loss prevention (DLP) and insider threat management (ITM) platforms. These tools monitor and control how employees interact with data. At the same time, companies are collecting more and more data about employees themselves, like protected health information (PHI). The abundance of all this data-which is being collected and processed in the cloud-creates a critical challenge for security teams. They must protect employee privacy without impeding productivity. In this post, we\'ll explore the topic of privacy by design, which aims to strike a balance between these two challenges. We\'ll cover why it\'s so important. And we\'ll discuss how Proofpoint Information Protection can help you build a modern DLP program and comply with data privacy laws. Why privacy by design matters for DLP and ITM Privacy by design is a framework that embeds privacy into the design of IT systems, infrastructure and business processes. Privacy is not an afterthought. It is considered right from the start-in the initial design phase. What\'s more, it\'s a core component that integrates visibility, transparency and user-centricity into its design. In short, privacy by design ensures that everything is built with the user in mind. Privacy by design is important to DLP and ITM because it helps to: Protect employee rights. Personal data is sacred. Employees expect their personal data to be safe and their rights protected. When a company takes a proactive, transparent approach to data privacy, it helps maintain trust with employees. Comply with privacy laws. Data privacy laws protect people by requiring businesses to keep their data safe and avoid sharing it unethically with third parties. These laws often require companies to tell users exactly how their data is used and collected, and to notify them in the event of a data breach. Failure to comply can lead to hefty fines and penalties, which can damage a firm\'s finances and brand image. Prevent bias in investigations. When user data is kept secure and private, it ensures insider threat investigations maintain their integrity and objectivity. If a user is identified, it could influence a security analyst\'s response to an incident. User privacy helps take emotion and subjectivity out of the picture. Ensure data privacy with Proofpoint DLP and ITM Proofpoint Information Protection includes administration and access controls. These controls can help your business keep data private and meet compliance requirements. Data residency and storage Proofpoint uses regional data centers in the U.S., Europe, Australia and Japan to meet data privacy and data residency requirements. You can control exactly where your data is stored at all of these data centers. For example, you can group your endpoints and map each group to a regional data center. This ensures that data on all those endpoints are stored in that regional center. So, a U.S. realm can manage U.S. endpoint data, which is sent to the U.S. data center. Attribute-based access controls Attribute-based access controls give you a flexible and easy way to manage access to data. You can use these controls to ensure that security analysts have visibility into data on a need-to-know basis only. For instance, you can write granular policies and assign access so that a U.S.-based security analyst can only see U.S. data. They cannot see data in Europe or the Asia-Pacific region. And when an analyst needs to access a specific user\'s data for an |
| Envoyé | Oui |
| Condensat | about abundance access address admin administration administrator administrators adoption afterthought aims all allows also analyst analysts anonymization anonymization anonymize anonymized another anywhere” approach are asia assign attribute australia authorized avoid balance balancing based basis because become being between bias blog bound” brand breach brief build built business businesses can cannot card careless cause caused center centers centricity challenge challenges check cloud collected collecting companies company complexity compliance comply component compromised configure consider considered control controls controls core corporate could cover covered creates credit critical damage data decide defend demand design differently digits discuss discussed dlp downstream each easy eliminate else embeds emotion employee employees endpoint endpoints ensure ensures ensuring equip europe event everything exactly example executive expect explore failure file finances find fines firm first flexible four framework from full further get give grant granular group growing handled harm has have health hefty help helps hide host how identifiable identified identifiers identifying identity image impeding implement importance important incident includes increase increasingly influence info information infrastructure initial ins insider insiders insight instance integrates integrity interact interface investigation investigations investments itm itm its japan just keep kept know known last laws lead learn level like location long look loss maintain makes malicious manage managed management map mask masking masking matters may meet might mind modern monitor monitored more more much must name names need needs not notify number numbers objectivity often only optimize other out outs pacific part parties penalties people personal personally phase phi picture pii place platforms policies policy post prevent prevention previous privacy private proactive process processed processes productivity program proofpoint protect protected protection puts read realm region regional request require requirements requiring residency response right rights rise role sacred safe same scenario second secure security see sensitive sent series services sharing shift short show snippets social solution specific specify start storage stored strike subjectivity system systems take takes teams tell them themselves these third those threat threats time to: tools topic transparency transparent trust two unethically unidentifiable use used user username users uses view violated visibility want watch way webinar well what when where which who why without words write you your “time “work |
| Tags | Data Breach Tool Threat Cloud |
| Stories | |
| Notes | ★★ |
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