Securiti Named a 2022 Cool Vendor in Data Security by GartnerDownload Now
By 2025, it is projected that data will grow 10x compared to today. It is also estimated that 50% of data will exist in private, hybrid, multi-cloud, or SaaS clouds.
In this guide, you will:
As organizations become increasingly dependent on customer data to guide their business strategies, personal data security and privacy risks are also increasing. To counter this threat, global regulations have stepped forward to ensure that organizations adequately identify and regulate sensitive data.
The big question though, is where to start?
This guide takes a deep dive into the data discovery and privacy solutions your organization needs, and why traditional data discovery is not enough anymore. Modern organizations need smart solutions that have built-in automation. Sensitive Data Intelligence is precisely that.
The Multi-disciplinary practice to grow trust-equity of your brand and comply with privacy regulations
Top 5 challenges and how to overcome them
Meet Sensitive Data Intelligence
In general, confidentiality, integrity, and availability of data determine how sensitive it is. Data that may be classified as sensitive is either confidential in nature i.e personal data, health records, and educational records. The source can also make it sensitive if it indicates a need for secrecy.
You can learn more about sensitive data in the guide above.
PO Box 13039,
Coyote CA 95013