When do you want the next level of data security?

Use cases overview

Data privacy and regulatory compliance

  • Companies must pay great attention to privacy. To comply with legal and regulatory requirements, you must manage who has access to what information and the extent to which it is accessible.

  • You also have to protect the data against unauthorised access and data breaches.

  • A complex landscape with data usage in the cloud is extra troublesome.

Insider threats

  • In order to assure data privacy companies need to protect sensitive data agains internal people that have access to the sensitive data.

  • Traditionally this is a challenge. Access to data, which may include sensitive data, is needed to perform tasks, like data analysis, systems management etc.

  • Providing granular access is a management nightmare.

Ransomware attack protection

  • Cyber-attacks using ransomware are more common then before.

  • A ransomware attack can cause reputational or financial damage, so you have to take measures.

  • But how do you ensure that your most valuable data is kept secure from malicious activities.

Data sharing

  • Sharing data internally, with downstream systems or third parties like vendors poses challenges with privacy and security.

  • Privacy: You need to ensure that sensitive data is not accessed and misused by unauthorised people.

  • Security: When sharing data, you become vulnerable to breaches or hacks. Shared information can be compromised and leaked out into the public domain.

Anomaly detection

  • Your challenge is to be one step ahead of attackers as they become more sophisticated and use improved tactics and tricks every time.

  • The more hybrid and dynamic your workforce becomes, in a business that is connected internally and externally, the more you are at risk of insider and outsider threats.

Cloud data protection

  • Cloud providers have weak security controls and are subject to a shared responsibility model in which you must provide you own cybersecurity measures

  • Data security breaches are possible due to encryption keys being available to administrators in the cloud.

Data lake security

  • Your data lake can contain massive volumes of data that not only individuals but also machine personas have access to. There are few audit trails on object modifications, which can cause issues with data compliance.

  • Data lake security is dependent upon identifying sensitive information and restricting access to it to ensure data governance.

Security with MSPs

  • Managed Service Providers focus their security efforts on endpoints with vulnerability assessments, patch management, antivirus, and endpoint detection and response (EDR).

  • While these controls are valuable, they treat the symptoms of security rather than focus on the target of attackers - your data.

  • So make sure you have the proper capabilities in place protect your sensitive data.