Sign up for our newsletter and get the latest big data news and analysis.

How Big Data Keeps Businesses Secure

Big data has become almost ubiquitous in the world of business. From supply chain and inventory management to HR processes like hiring, big data has proven itself to be a valuable tool. However, big data can do much more than simply improve how a business conducts its operations; it can protect businesses from a huge variety of threats when used properly.

Useful Analytics

At its core, big data empowers businesses and enables them to make informed and intelligent decisions based on analytics. Not only can the implementation of big data reveal innovative ways to streamline operations and boost productivity, but big data can also enhance security, ensuring that private, valuable data remains protected for as long as possible.

Data-driven analytics provide effective and contextualized reports of security events to businesses with the help of machine learning processes. Big data and the analytics that use it don’t just allow for real-time detection of attacks — it helps security teams to understand the who, what, and why behind attacks, allowing them to focus investigations on genuine threats.

Cyber and Data Security

Cybersecurity is increasingly becoming inextricably linked to quality data and the appropriate security analysis of that data. Security relevant data comes from many sources including endpoint activity data, business application data, network metadata, DNS/DHCP, and of course IaaS, PaaS, and SaaS.

With so much pertinent security data coming in from various sources, it is no wonder that many in the cyber and data security fields are looking to artificial intelligence (AI) and machine learning (ML) processes to help process and synthesize the data more efficiently. AI and ML can be used to help make sense of all of the data quickly, possibly preventing further damage from being done or predicting and preventing attacks before they occur.

Cyber and data security are driven by big data now more than ever, and while breaches can still occur requiring businesses to seek out data breach insurance in preparation, big data can stymie the severity and even reduce instances of those breaches. Cybercriminals will always find new ways to circumvent security measures, so staying on top of the cutting edge of cyber and data security is a must for any business with sensitive data that needs protecting.

The Future Is Inbound

Protecting valuable data, whether it be customer or employee information that needs to remain confidential or vital trade secrets and sensitive marketing data, is an important aspect of keeping a business running smoothly. There may come a time in your business’s history when you have to hire a private investigator to run covert operations to determine the root of an attack. Big data can, however, provide invaluable security through threat visualization and predictive models that allow a business to engage in intelligent risk management.

Cybersecurity techniques are constantly changing to keep up with the evolving tactics of cybercriminals. From cloud-based security that can reduce the time needed to implement security patches to AI and ML applications that use vast data lakes to predict and prevent attacks, cybersecurity that implements big data effectively can stay ahead of the curve.

About the Author

Magnolia Potter is a muggle from the Pacific Northwest who writes from time to time. She covers a variety of topics and prefers not to settle on just one. When Magnolia’s not writing, you can find her in the outdoors or curled up with a good book and a mug of butterbeer. She is still waiting for her Hogwarts acceptance letter. You can chat with her on Twitter @MuggleMagnolia.

Sign up for the free insideBIGDATA newsletter.

Comments

  1. To evaluate Big Data, it’s useful to know its previous history. By definition, Big Data is statistics that contain extra variety, arriving in growing volumes, and in the end with ever-better velocity. That is why when we’re speaking regarding Big Data, we’re constantly speaking about the “Big Vs” of Big Data. And there are more than three now because the idea Behind Big Data evolved in data analytics companies.
    .
    Data storage nowadays is cheaper than what it used to be some years in the past, and this makes it less complicated and less steeply-priced to save greater statistics. But why do you want so many statistics?

    It is obvious records permit you to calculate anything – present this information to your clients, use it to create new products and functionalities, make business decisions, and such a lot of extra opportunities.

    The real Big Data isn’t that new, but the idea at the back of handling a lot of statistics is changing. What we have been calling Big Data a few years ago turned into a way fewer facts than it’s now. It virtually started around the second quarter of the ’90s.

    Forty years later, businesses saw what number of datasets will be gathered through online services, sites, applications, and any product that clients interact with. This is when the primary of the Big Data services began gaining popularity. Having such gear turned into reality due to the fact they are making storing and reading Big Data simpler and inexpensive.

    Big Data Analytics Tools

    As Big Data is moreover constantly growing, the gear which are meant for use with it are additionally continually evolving and improving. Are used depending upon the requirement of the organization. There are so many solutions, and a huge part of them are open-supply ones. There’s also a foundation – Apache Software Foundation (ASF), that is supporting lots of those Big Data projects.

    As those gear are truly important for Big Data, we are going to mention a few words for some of them. Maybe considered one of the most established ones for reading Big Data is Apache Hadoop, which is an open-supply framework for storing and processing massive sets of records.

    Big Data Companies in Dubai provide Processes that include:

    Real-Time Processing
    Data Storage and Processing
    Data Analyses
    Messaging System

    Companies like Alpha Data are among leading big data analytics companies that are constantly working on architectural solutions so that scattered data is compiled, make use of, and form turn it into readable manner.

    If not that then Data handling could be the worst possible job on the planet. Imagine the billions worth of data traveling everywhere with no use and scope because the data is not yet made readable.

    Big data companies in Abu Dhabi are increasing because more awareness is present right now than it was a decade back. Companies are relying further on Big data companies to ensure their data is made use of.

  2. A Lot of important and useful information in this article. Thanks for sharing detailed information about big data. Nice article.

Leave a Comment

*

Resource Links: