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AI and cybersecurity: A double-edged sword

CIO Business Intelligence

Gone are the days when simple firewalls and antivirus software could keep our digital assets safe. Perhaps one of the most anticipated applications of AI in cybersecurity is in the realm of behavioral analytics and predictive analysis. The cybersecurity world has changed dramatically.

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Email Marketers Use Data Analytics for Optimal Customer Segmentation

Smart Data Collective

Using data analytics help your email marketing strategies succeed. Data Analytics’ Importance in Email Marketing. Types of data analytics. There are four types of data analytics for various marketing reasons. Most email marketers utilize behavior analysis. The diverse use of data analytics in email marketing.

Marketing 128
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Your Modern Business Guide To Data Analysis Methods And Techniques

datapine

To help you understand the potential of analysis and how you can use it to enhance your business practices, we will answer a host of important analytical questions. This is one of the most important data analytics techniques as it will shape the very foundations of your success. A data analytics methodology you can count on.

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2 Innovations That Can Tip the Balance in Cybersecurity

CIO Business Intelligence

Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. But improved use of automation — combined with software-based advanced analytics — can help level the playing field. They are: Innovations in automation.

Software 145
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The Impact Of AI On Cybersecurity: Are Humans Still Your Best Asset?

Smart Data Collective

Everyone wants to leverage machine learning, behavior analytics, and AI so IT teams can “up the ante” against attackers. The reality is that “AI solutions” today are based more in machine learning and behavior analytics , which does NOT equate to higher levels of human intelligence and complex decision making.

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How Does Next-Gen SIEM Prevent Data Overload For Security Analysts?

Smart Data Collective

Unified and correlated data Companies that grow and scale add software and cloud-based architectures to their infrastructure. To do so, security teams have added more versatile protection software on the company’s premises than ever before. Any new technology that is added to the infrastructure has to be protected.

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The changing face of cybersecurity threats in 2023

CIO Business Intelligence

The process starts with identifying compromised hardware, software, and human assets – both internal and external – by way of scanning and reconnaissance methods. Let’s revisit the most prevalent security threats and see how they’re evolving in 2023.