In today’s evolving digital landscape, data security is a critical concern for enterprises of all industries and sizes. With the advent of remote work, global workforce and expansion of operations across borders, cyber threats have become increasingly sophisticated and geographically diverse. The need of the hour is a robust, comprehensive and all-encompassing security solution that can safeguard sensitive and confidential information. A data detection and response (DDR) solution can prove to be just that.
In this article, we will briefly discuss the different types of data organizations have and the cost of data being compromised. We will delve into the core capabilities of Dig Security’s revolutionary DDR solution and explore how it caters to the varying needs of businesses while delivering unprecedented data protection in the age of constant digital violations.
Abundance of data
A typical organization has data in five locations – the endpoints, in email, on-prem, SAAS application and on public cloud. Out of these five locations, 60% data sits in the public cloud, the only place that doesn’t have a dedicated security solution.
In today’s digital landscape, there is too much data and there are too many locations that data lives in. Trying to tackle this through one single system that will solve all the data security problems of an organization is a beautiful dream but it isn’t practical. The focus needs to be on the main problem, on locations where data is growing the most and where the vast majority of sensitive information exists.
Cost of compromised data
Today, the average cost of a data breach is $4.2 million and this increases as the number of records that get compromised increases.
Cloud and cost
Where do businesses, small and big alike, have a big aggregate of a lot of records meshed up together? The cloud, because that’s where you have databases. A single database, even one GB of database can have millions of financial records, healthcare information, etc. A fine on exposed information in the cloud could potentially be tens of millions of dollars. There is a huge risk in the public cloud today.
Variety
One of the main problems, these days, is variety. Earlier with on-prem, there were five different types of data store technologies, but with public cloud, there are at least forty different types of data store technologies. This means tens of thousands of databases instead of hundreds. So, the size and variety here are the biggest issues.
Different set of challenges
We can’t just take the on-prem products and put them in the cloud because the challenges are completely different. In the cloud, database backups can be shared, but this doesn’t exist on-prem. So, on-prem, the challenges with each location of datasets are quite different. The cloud has essentially moved on really fast and the solutions are left behind trying to catch up.
Data detection and response by Dig
When we talk about real-time data security in the cloud, unfortunately, there is no single prevention point. Data can move, get copied or shared in multiple different angles in the cloud. So there is no single data loss prevention location where you can put one enforcement policy. That’s why a lot of angles in cloud security today talk about detection and response.
What the team at Dig Security has built is probably one of the most comprehensive engines for DDR solutions in the market. It allows you to detect when something bad happens with your data. The DDR solution helps in identifying what data you have, whether or not you have the right posture, and in detecting when something bad happens. It is a combination of static discovery and threat protection into the world of data.
Dig supports any type of data, be it unstructured information such as files, structured information such as relational data stores and semi-structured information such as your NoSQL database. This is supported across different types of deployment modes – it can be hosted solutions by the cloud or VMs that anyone can boot up and install any database in.
With Dig, once you are connected into the cloud, it can automatically connect to every single data store that lives in your environment. Dig is also completely connectorless with zero connectors in the system. Everything is done automatically when the customer comes into the platform. Furthermore, Dig doesn’t deploy any agents or proxies. Everything integrates into the customer environment within minutes and there is zero interference with customer’s cloud. Dig doesn’t actually connect to the data store, it works on a side environment in a customer’s environment. So the data is never copied and Dig will never see customer data.
The mechanism
When it comes to the DDR solution, it starts with data discovery and finds any type of data that lives in a customer’s environment. Once the data source is found, they are auto classified using the proprietarily pre-built classifiers. Customers also have the option of building their own in the platform itself. Once the data is found and the information is classified, Dig brings context to the data. The goal is to identify data risks and combine that with Dig’s detection and response policies. Once the data stores are found, Dig brings posture to them and also detects and responds when something terrible happens.
Dig works with three main types of technology:
- Cloud-native APIs for discovery metadata and posture
- Cloud-native logging for detection and response
- Outpost deployment for data analysis and classification
Conclusion
In an era where cybercrimes are rampant, the significance of a robust and adaptable DDR solution cannot be overstated. In this regard, Dig Security’s DDR solution has proven to be revolutionary. By bringing together real-time monitoring, cloud-based architecture, seamless threat intelligence integration and user behavior analytics (UBA), the platform bolsters an organization’s resilience, mitigates damage, reduces response times and safeguards their confidential data.
