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.
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display(div-gpt-ad-1439400881943-0); }); 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.
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