Smart Data Collective

DECEMBER 5, 2021

This is going to be necessary to stave off the growing wave of data breaches that could hurt their businesses. One broad area of challenge right now is cybersecurity. More cybersecurity professionals have a background in big data to be able to address these concerns. What is Zero Trust Architecture?

Cybersecurity 288

Cybersecurity Monitoring Big Data Digital 288

Smart Data Collective

OCTOBER 8, 2023

Preliminary research suggests data breaches are going to be even worse this year. A growing number of companies are recognizing that they need to take proactive measures to help bolster their data security. If you need additional tips on data security, then you should read this article we wrote. #1

Supply Chain 271

Supply Chain Data Security Cybersecurity Monitoring 271

Smart Data Collective

JULY 16, 2021

Security analysis is a method used in cybersecurity to help boost security protocols for data protection. This is where security analysis tools come into play. They can be used to analyze security threats before they’ve been given the opportunity to create big problems for a business. Conclusion.

Big Data 327

Big Data Cybersecurity Data Analytics Data Analytics 327

Smart Data Collective

JANUARY 31, 2023

Big data technology has unquestionably been a gamechanger for businesses. Data-driven businesses are 58% more likely to meet revenue goals than companies that do not use big data. However, there is a dark side to using big data technology. It is also increases security risks.

Big Data 228

Big Data Monitoring Data Security Cybersecurity 228

Cprime

JANUARY 30, 2024

– AI analyzes a patient’s medical history, genetics, and lifestyle to create personalized treatment plans, which is especially impactful in cancer treatment for diagnosing, personalizing treatments, and monitoring survivors. What is the significance of AI in healthcare data security?

Healthcare 52

Healthcare Innovation Artificial Intelligence Cybersecurity 52

Sisense

JULY 14, 2019

If you just felt your heartbeat quicken thinking about all the data your company produces, ingests, and connects to every day, then you won’t like this next one: What are you doing to keep that data safe? Data security is one of the defining issues of the age of AI and Big Data. Empowering Admins.

Data Security 75

Data Security Data Modelling Documentation Cybersecurity 75

GAVS Technology

MARCH 18, 2024

Today, the healthcare industry faces several risks of data breaches and other data security and privacy challenges. Automation in healthcare systems, digitization of patient & clinical data, and increased information transparency are translating directly into higher chances for data compromise.

Healthcare 52

Healthcare Cybersecurity Digital Data Security 52

Smart Data Collective

SEPTEMBER 30, 2019

Big data is making a number of cybersecurity risks worse than ever. A growing number of companies are starting to explore the need to utilize big data to enhance their digital security. They are also starting to recognize that hackers are using big data as well, so they need to monitor them carefully.

Big Data 179

Big Data Banking Cybersecurity Data Security 179

Smart Data Collective

JANUARY 25, 2022

Data security is becoming a greater concern for companies all over the world. A number of hackers started targeting companies for data breaches during the pandemic, partly because so many employees were working remotely. The frequency of data breaches is not likely to subside anytime soon.

Data Security 275

Data Security Cybersecurity Big Data Monitoring 275

Smart Data Collective

SEPTEMBER 27, 2020

We have talked about the benefits of using big data and AI to improve cybersecurity. Hence, employing an AI-driven effective anti-money laundering transaction monitoring system is a financial institution’s first and best line of defense against financial criminals seeking to exploit their services for unsavory purposes.

Monitoring 318

Monitoring Artificial Intelligence Banking Cybersecurity 318

Smart Data Collective

APRIL 8, 2020

Big data is changing the nature of file transfer technology. The good news is that big data is leading to new file sharing technology, which is making it easier to solve certain file transfer problems. Stewart Harper wrote a blog post about the problems companies face when they try to move big data to the cloud.

Big Data 259

Big Data Cloud Computing Cybersecurity Monitoring 259

Smart Data Collective

APRIL 18, 2019

There’s no question that the term is popping up everywhere as enterprises yearn to turn big data into a competitive edge. The same goes for cybersecurity. But have we arrived at true security automation yet? But have we arrived at true security automation yet? Suddenly, cybersecurity is like a self-driving car!

Cybersecurity 195

Cybersecurity Artificial Intelligence Big Data Customer Experience 195

Smart Data Collective

AUGUST 14, 2022

Once DLP identifies a violation, it initiates remediation protocols through alerts and encryption, thus preventing any end-user from accidentally sharing valuable data or falling victim to a successful malicious attack. The primary approach of DLP software is to focus on monitoring and control of endpoint activities.

Monitoring 310

Monitoring Cybersecurity Planning Data Management 310

Smart Data Collective

APRIL 10, 2019

They will monitor the activity so that they can glean the patterns of the users. Once the attacker obtains the password and metadata, they can use this information for whatever purpose they want. Experienced hackers may focus on businesses that rely on a large network.

Banking 168

Banking Retail Monitoring Planning 168

Data Pine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

Cloud Computing 95

Cloud Computing Cybersecurity Government Business Intelligence 95

Astera

JANUARY 2, 2024

Execution and handling of data operations. Objective Ensure data quality, security, and compliance. Efficient and effective handling of data. Activities Policy creation, enforcement, and monitoring. Data collection, storage, processing, and usage. Addresses immediate data handling requirements.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52