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Research shows extensive use of AI contains data breaches faster and saves significant costs

IBM Big Data Hub

The Cost of a Data Breach 2023 global survey found that extensively using artificial intelligence (AI) and automation benefited organizations by saving nearly USD 1.8 It can determine root cause analysis and the orchestrate next steps based on the knowledge the models have trained on and built based on the threats your organization has faced.

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How to handle a ransomware attack 

IBM Big Data Hub

IBM Security® QRadar® SIEM applies machine learning and user behavior analytics (UBA) to network traffic alongside traditional logs for smarter threat detection and faster remediation. Based on projected results of a composite organization modeled from 4 interviewed IBM customers.

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Types of cyberthreats

IBM Big Data Hub

According to the IBM Security X-Force Threat Intelligence Index 2023 , ransomware attacks represented 17 percent of all cyberattacks in 2022. IBM Security® QRadar® SIEM applies machine learning and user behavior analytics (UBA) to network traffic alongside traditional logs for smarter threat detection and faster remediation.

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What is a phishing simulation?

IBM Big Data Hub

Drafting: After forming a plan, security teams create realistic mock phishing emails that closely resemble real phishing threats, often modeled on phishing templates and phishing kits available on the dark web. One way to do this is by using phishing templates modeled after popular types of phishing attacks to target employees.

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The changing face of cybersecurity threats in 2023

CIO Business Intelligence

Let’s revisit the most prevalent security threats and see how they’re evolving in 2023. Detection: One of the first signs of a website spoofing attack is an unusual or too-good-to-be-true request – such as a special Amazon sale offering 25% discount on the latest model of the iPhone. You know very well it’s not going to happen.

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Spear phishing vs. phishing: what’s the difference?

IBM Big Data Hub

IBM Security® QRadar® SIEM applies machine learning and user behavior analytics (UBA) to network traffic alongside traditional logs for smarter threat detection and faster remediation. Based on projected results of a composite organization modeled from four interviewed IBM customers.

B2B 107