Antivirus Artificial Intelligence Data breaches Risk 
Webroot
MAY 6, 2024
The uptick is primarily attributed to attackers leveraging advanced tools like generative artificial intelligence (AI), which helps them craft malware that’s more sophisticated and adaptive. Cyber resilience involves proactive measures to prevent attacks while also ensuring you can quickly recover if a breach occurs.
eSecurity Planet
MAY 2, 2024
Most organizations express confidence in their current status and budgets, but also expect to experience at least one data breach in 2024. Compromised Credentials Compromised identities from phishing, info stealers, keyloggers, and bad password habits provide the entry point for most ransomware attacks and data breaches.
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Centraleyes
MARCH 25, 2024
Cloud misconfigurations , such as a misconfigured cloud storage bucket, are common causes of data breaches. Each vulnerability presents a risk, but that risk varies in severity. According to IBM’s X-Force Threat Intelligence Index , vulnerability exploitation is the second most prevalent cyberattack vector.
CyberSecurity Insiders
MAY 8, 2023
It’s becoming challenging for employees to tell if their emails are real or fake, which puts the company at risk of data breaches. In March 2023, an artificial intelligence chatbot called GPT-4 received an update that lets users give specific instructions about styles and tasks.
eSecurity Planet
MARCH 17, 2023
Vulnerability Management Product Guides 8 Best Vulnerability Scanner Tools Top 10 Open Source Vulnerability Assessment Tools 12 Top Vulnerability Management Tools Threat Intelligence and Detection At the most basic level, threat detection strategies and tools monitor networks for suspicious and anomalous activity.
Adam Levin
DECEMBER 7, 2020
A deepfake is a combination of Artificial Intelligence “deep learning” and that watchword of the 2010s: “fake.”. Any digital media asset created with the assistance of Artificial Intelligence qualifies. The hacking risk isn’t just a question of having more devices so much as having a higher concentration of devices.
eSecurity Planet
AUGUST 26, 2022
Whereas older solutions like antivirus, firewalls, and endpoint detection and response (EDR) have long focused on threats at the network perimeter, the intent of NDR is to monitor and act on malicious threats within organization networks using artificial intelligence (AI) and machine learning (ML) analysis.
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