You might know the old saying, "What gets measured gets managed." It rings true even in the IT sector. But there's a catch—how can you manage and measure what you can't see?
The struggle is real for IT executives and their internal teams that protect and secure sensitive data. Wrapping your head around the amount of data within an organization is quickly becoming next to impossible.
These days, organizations are pumping out data by tons. In 2020 alone, a staggering 44 zettabytes were churned out daily, and that number is projected to soar to 175 zettabytes a day by 2025.
But the sheer volume isn't the primary concern when it comes to data security. The real headache is that this data is scattered far and wide across various on-premises and cloud environments. And to top it off, it comes in various forms and formats.
Identifying every single byte of data has become tricky, and any data left undefined increases the risk of unauthorized access or misuse.
In this article, we'll share the best practices you need to employ to improve sensitive data visibility and control, helping your organization stay safe and secure.
Today's enterprise data landscape is more complex than ever, with up to 90% of it being unstructured—think productivity documents, emails, photos, and social media posts.
Wrangling this data has become a real headache, mainly because it's scattered across diverse locations, and traditional discovery tools struggle to make sense of it all.
Plus, sensitive data has taken on various forms, from credit card details and financial information to personally identifiable information (PII), location data, and even genetic and biometric data.
The sheer variety of formats in which this sensitive information is hidden greatly increases the risk of false-positive alerts.
You might think, "What's the big deal with false positives?" For the already overburdened IT and security teams, it's a huge deal. Imagine sifting through as many as 4,000 alerts per week, only to find that a significant chunk of them is a wild goose chase.
This can eat up 25% of their valuable time. Hundreds, if not thousands, of hours each year are wasted on fruitless investigations, diverting attention from real security threats and more critical IT endeavors.
While technology might never entirely eradicate false positives (or false negatives), a solution like the Satori can help you achieve an industry-leading data discovery accuracy rate.
It can discover all data stores, assets, and users, regardless of their location and content. This comprehensive data discovery helps you better understand your data landscape, improving your overall data security posture
Data discovery and data classification are like two peas in a pod—you can't have one without the other.
Once you have all your data discovered, you have to label it, tag it, and give it visual markers so both humans and machines can figure out how sensitive it is and treat it accordingly.
These classifications make sure only the right people can get their hands on the sensitive data as it moves through the whole organization. And it also helps with sharing info while keeping it safe with other data protection measures.
Understanding sensitive data is a requirement for proper security and keeping up with data privacy rules. Data loss prevention (DLP) on its own is not enough, as privacy is not just about losing data; it's more than that.
So, using data classification is key for meeting these requirements. These capabilities aren't just handy; they're often necessary to ensure compliance and make data-centric security controls truly effective.
It's pretty normal for access to information to get overly restrictive, and we end up with information silos.
Now, there's no denying the importance of access control and that there's a need for the security and protection of business information, but we also need to find a fair balance with accessibility. Here are a few steps you need to go through to find that balance:
First things first—we need some guiding principles to make sense of it all. These principles can cover things like who gets access (approved by a registered owner), sharing personal data, and deciding access based on roles and groups. Consider this like setting some ground rules for networks, systems, and data access.
Figure out who's in charge of granting access. Do you have some Information Asset Owners who know the whole deal? And are they going to pass on the responsibility to a Line Manager?
Will it be the help desk, or maybe you need some Information Champions to keep an eye on things and ensure access is fair?
You need to document these access controls so there's proof of what access is given to whom. Put it in an Information Asset Register, the helpdesk system, or even the Active Directory.
Do we have a Business Classification Scheme or an Electronic document and records management system (eDRMS) that'll help us get this done?And when new employees come on board, or someone leaves, you need to ensure access is set up, changed, or taken away as needed.
Regularly check if your access controls are still up to the standards and match what you need. You might need the assistance of the helpdesk or Information Champions in this.
Data encryption and masking are powerful techniques to protect sensitive information from unauthorized viewing. It turns your information into unreadable gibberish, so even if someone tries to intrude, they won't make heads or tails of it.
Consider using a NordVPN to help you encrypt your data during transmission. For the data stored in servers, consider using data-at-rest protection solutions.
On the other hand, data masking substitutes original data with fictional data while maintaining the data's format. This way, people like developers can work with the needed data without seeing any sensitive bits. It's a smart way to balance access and security.
Deploying real-time monitoring and auditing mechanisms allows you to continuously track data access and changes.
It provides insights into who accessed what data. With this real-time insight, you can spot any suspicious activity quickly and nip potential security breaches in the bud.
Regular audits also help maintain compliance with data protection regulations. Review access logs and changes to be sure that your data stays safe and sound.
Having good data visibility and control means you don't have to do as much fixing up when you make bad decisions or oversee any risks.
Following the practices mentioned in the article, you can be sure that your sensitive data is secure, and this protection doesn't come in the way of your daily operations, giving you better odds of success.
Access data effortlessly, ensure compliance, and protect sensitive information with Satori. Book a demo to learn more.