Remove Cybersecurity Remove Data Requirement Remove Information
article thumbnail

Avoid Data-Driven Cyber Attacks By Avoiding These 5 File Sharing Errors

Smart Data Collective

Michelle Moore, the Academic Director of the Master of Science in Cyber Security Operations and Leadership of the University of San Diego recently talked about the double-edged sword of big data in the context of cybersecurity. Dr. Moore points out that big data has created both new opportunities and risks for fighting cyberattacks.

Big Data 244
article thumbnail

Leveraging Zero Trust SASE Architecture to Strengthen Cybersecurity in Healthcare

GAVS Technology

Zero Trust Security and SASE (Secure Access Service Edge) offer advanced solutions to these cybersecurity needs. Zero Trust SASE integrates Zero Trust with SASE to provide robust, adaptive, and scalable security, addressing the challenges of securing data, applications, and users in cloud-first, remote, and hybrid IT environments.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Understanding Data Loss Prevention (DLP)

GAVS Technology

Data Loss Prevention (DLP) is a critical security strategy designed to ensure that sensitive or essential information is not transmitted outside the organization’s network. These strategies incorporate a range of tools and software solutions that provide administrative control over the secure transfer of data across networks.

article thumbnail

Must-Have AI Features for Your App

Sisense

In the case of a stock trading AI, for example, product managers are now aware that the data required for the AI algorithm must include human emotion training data for sentiment analysis. Safeguarding software and users: AI in cybersecurity apps.

article thumbnail

Moving to the cloud? Choose cloud service providers wisely

Analysts Corner

Among the downsides of a public cloud are limited customization and a higher risk of a data breach since public clouds are available to anyone. So when choosing a public cloud services provider, it’s worth paying much attention to the cybersecurity measures it has in place. When to use?

article thumbnail

Ethical Concerns With AI/ML – Some Myths vs. Facts

GAVS Technology

Following actions are taken to minimize privacy challenges: Better Data Hygiene: Only the data required for the use case is captured/stored Use of Accurate Datasets: Quality of AI models is enhanced by training with accurate datasets User Control: Users are informed of their data being used and asked for consent.

article thumbnail

What Is Change Data Capture (CDC): Methods, Benefits, and Challenges

Astera

For instance, a database (SQL Server) of an e-commerce website contains information about customers who place orders on the website. Without CDC, periodic updates to the customer information will involve extracting the entire dataset, processing it, and reloading it into the database. Its efficiency diminishes notably in such cases.