123ArticleOnline Logo
Welcome to 123ArticleOnline.com!
ALL >> Computers >> View Article

Some Strategies Adopted By Data-secure Enterprises

Profile Picture
By Author: Appsian
Total Articles: 115
Comment this article
Facebook ShareTwitter ShareGoogle+ ShareTwitter Share

Some Strategies Adopted By Data-Secure Enterprises

Organizations face a daunting security challenge with digital assets dispersed around IT environments and data breaches still a daily concern: how can you harmonize the security model to avoid using different best practices and resources for the conventional three-tier data center than you have for the cloud?

A recent study revealed that the second data security challenge was to secure data moving between on-site and the cloud, preceded only by guarding against malicious damage/hacking.

Organizations today need a more programmatic approach that explores and integrates all data sources and networks into a comprehensive security strategy.

Emphasis on User Behavior

A more user-centric strategy is needed. In other words, depending on where they fall on a scale of risk, the security policies should be applied to each user individually. Such risk assessments and the policy implementation based on them can change dynamically based on a person's actions.

The results of the study support this notion. The least likely to have been abused were ...
... companies deploying behavioral analytics, machine learning, and cloud-based access controls.

The Strategies

To secure a conventional infrastructure with a specified perimeter, traditional security approaches have been developed. Given that the perimeter is all but gone, organizations that recognize data movements between data centers and the cloud and implement policies that account for evolving risk factors, such as the system and network in use, and the identity and job position of the user are more likely to prevent breaches.

1. Leverage Data Loss Prevention (DLP) systems with data analytics, machine learning, and automation.

Companies that have added automated DLP systems are able to detect user trends quickly and learn from them to grant or refuse access automatically based on the company's important variables.

2. Establish user-centric policies.

It isn't easy to secure channels one by one as employees communicate with data on PCs, tablets, USB sticks, email, etc., especially when using various security products that do not integrate. Based on user variables such as system, network, and application, it's easier to monitor data.

3. Be careful of protecting only a subset of your entire data.

Many organizations run their DLP systems in audit-only mode or take a black-and-white approach to blocking or enabling all access to data. Besides, while leaving others wide open, they secure data carefully, but only for some networks or avenues. Such techniques leave organizations vulnerable to downtime, lost image, fines, litigation, and data loss.

4. Avoid a mix of unintegrated, point security products.

This primarily occurs when companies initially have a very basic requirement, which expands as they expand and incorporate security items. When you want a more holistic, integrated, and effective approach, joining several security tools leads to disconnects, gaps, and inefficiencies.

5. Evaluate emerging platforms for centralized security.

Visibility across hybrid, private, and public cloud networks can be enabled by newer, more unified systems while automating security policies based on changing circumstances.

While many companies are hit by breaches, those who have added automation in place with behavioral analytics, cloud data control, and machine learning are much better. It can help organizations manage their safety more efficiently by concentrating on the individual, taking a dynamic approach to analyzing their actions, and adjusting security policies based on actual risk.

More About the Author

Appsian One of the leading ERP data security,compliance,implementation solutions provider that gives organizations to complete control and visibility over their ERP data.

Total Views: 306Word Count: 523See All articles From Author

Add Comment

Computers Articles

1. Fantasy Sports Analytics Through Myteam11 App Real-time Data Extraction
Author: i web data

2. Extract Kroger Grocery Store Locations Data For Expansion
Author: FoodDataScrape

3. What Benefits Can Businesses Gain From Doordash Menu Data Scraping?
Author: FoodDataScrape

4. Amazon Fresh Scraping Api Helped Client To Enhance Market Insights
Author: FoodDataScrape

5. Leverage Web Scraping H-e-b Grocery Chain Data
Author: FoodDataScrape

6. It Gadgets Online: Powering India’s Tech Enthusiasts With Premium Pc Components And Gaming Gear
Author: ITGadgetsOnline

7. Reliable Incubator Monitoring And Refrigerator Alerting Solutions For Critical Environments
Author: Chris Miller

8. Extract Total Wine Data For Flavor And Ingredient Insights
Author: FoodDataScraper

9. How To Utilize Firebase Dynamic Links To Integrate Deep Linking On Ios?
Author: davidjohansen

10. How To Start Web Automation Testing Using Selenium And Python?
Author: davidjohansen

11. How To Perform Firebase A/b Testing On Ios?
Author: davidjohansen

12. Python Pandas Tutorial – A Simple Guide For Beginners
Author: Tech Point

13. Scrape Dubai Restaurant And Café Contact Info
Author: FoodDatascrape

14. Best Online Computer Store In India | Itgo - Itgadgets Online
Author: ITGadgetsOnline

15. Getir Grocery App Data Scraping - Benefits & Best Practices
Author: FoodDataScrape

Login To Account
Login Email:
Password:
Forgot Password?
New User?
Sign Up Newsletter
Email Address: