The “prevention” component of the majority of DLP systems typically falls short when confronted with the threat surface of contemporary cloud channels.
Adding the needless stress of data loss due to a poorly established data loss prevention (DLP) plan is not something that any organization wants.
It is important to consider where investments should be made in DLP and how to develop a strategy to nurture database security.
Data loss prevention should be at the top of any business’s priority list. Because hybrid working and remote access to critical data are becoming the norm, prioritizing data loss prevention (DLP) is essential.
As internet usage grows, so does the quantity of personal information and data available on the internet. The worldwide database security market is expected to reach $7.01 billion USD in 2022.
What Exactly is Enterprise Data Loss Prevention (EDLP)?
Data loss prevention (DLP) is a collection of products, methods, technologies, and approaches designed to prevent end users from sending vital or sensitive data outside an organization.
Data loss prevention software and other data loss prevention products help network administrators manage end-user data transfers.
Large corporations acquire vast quantities of data, but where does this data reside?
Most likely, the data is spread over many locations. It can be kept on public clouds, the company’s own cloud, SaaS application platforms, the headquarters database security center, or the branch office networks.
Not only is data disseminated in so many areas, but the user and employee access patterns also pose a number of database security concerns, as they access data from a variety of locations, utilizing a variety of computing methods, devices, and mobile technologies.
The combination of these things alone poses significant hurdles to the database security of enterprise data:
- The organization may not have detailed insight on database security of what, how, and where its employees access and utilize the data, as well as move and share it with others.
- The firm may have minimal control over user data kept in the cloud, resulting in database security holes.
- The company’s database security may be inconsistent owing to the various security capabilities of public and private cloud providers, network security, and SaaS, among other things.
- The firm may be seeing an increase in database security breaches and insider threats generated by well-intentioned employees, malevolent insiders, and outside cyber-criminals.
What are the DLP Key Requirements?
1. SEARCHING, RETENTION, AND DISCOVERY
The data loss prevention (DLP) system must have the ability to scan the networks for data that is in use, in motion, at rest (on endpoints, servers, and file shares), and that is being transferred onto external devices.
a. Searching
As for one of the most important requirements, the search function, one wants to make sure that the data loss prevention (DLP) system can provide search results based on a range of parameters. As an illustration,
- Search for certain time periods.
- Search for indexed material using the following criteria: keywords, expressions, content patterns, and document type (Word, Excel, CAD, etc.).
- Hash operations (i.e., MD5 hash).
- System/device type, location File owner, port, location, and file age
b. Retention
The data loss prevention (DLP) system should be able to fingerprint all sorts of files.
It should use fingerprinting to register all files and directories.
Because fingerprinting can take a long time, it should instantly create an inventory of all files, whether or not they have been fingerprinted.
c. Discovery
Data loss prevention (DLP) is able to automatically discover the following information
- Unlabeled or unidentified data Marks, and indexes, and safely store them.
- Network sensors evaluate unfiltered data.
- Unfiltered files evaluated from endpoints and servers.
- Unfiltered files from Wiki, FTP, and Web servers were examined.
- Documents transferred through unfiltered traffic
2. MONITORING
Every instance of sensitive database security transfer or usage must be discovered, identified, correlated, analyzed, and logged (removal, modification, or attempted transmission).
3. ALERTING
The data loss prevention (DLP) system should be able to design and issue alerts based on the content (markers/registration), context (how data is behaving), application, user, and location when a violation or incident is identified.
4. ENFORCEMENT
When a violation or incident is discovered, the data loss prevention (DLP) system should be able to perform some pre-defined actions (e.g. quarantine, encrypt, drop, and delete) based on the same set of content, context, application, user, and location.
5. SUPPORT FOR RULES
Data loss prevention (DLP) solutions should let one develop, manage, and deploy customizable rules centrally as well as automate corrective activities based on rules violations.
A data loss prevention (DLP) solution will initiate remediation based on the policies and rules defined by the organization, such as alerting IT, automatically enforcing data encryption, or locking down a user to prevent them from sharing data that could put the organization at risk.
Why do Enterprises Need Data Loss Prevention (DLP)?
- Enterprise DLP systems are designed to avoid sensitive data loss while still offering broad coverage. They offer coverage for the whole range of database security leakage vectors.
- Importantly, Enterprise DLP supports all network protocols, including email, HTTP, HTTPS, FTP, and other TCP traffic.
- Another key feature of most Enterprise DLP solutions is the breadth and depth of their sensitive data detection procedures, which translates into significant gains in DLP efficacy.
- A central administration console is another unique and important aspect of these DLP solutions. This means one won’t require numerous administration interfaces, and the DLP initiative’s management overhead will be greatly reduced.
- Businesses can also create their own rules. However, the benefit of most contemporary Enterprise DLP systems is that they are cloud-based and powered by Machine Learning (ML), allowing user to fine-tune the existing rules significantly more effectively than previously.
Data loss prevention solutions are very crucial for businesses if one do not want to face any data loss.
Enterprise Data Loss Prevention solutions such as Acronis Cyber Protect can be effective if you get them from professionals.
Exabytes Malaysia provides solutions to cover end-to-end database security architecture and help you get started with data loss prevention as soon as possible.
To find out more about Acronis Cyber Protect, contact us now!
