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Tag Archives: Threat Feeds

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AI and Machine Learning in Cybersecurity

AI and Machine Learning in Cybersecurity

AI & Machine Learning, CybersecurityBy zveloMay 17, 2023

This post explores AI and Machine Learning for cybersecurity, including the various types, applications, challenges, and future potential.

zvelo-cyber-threat-intelligence

Cyber Threat Intelligence

Cyber Threat Intelligence, CybersecurityBy zveloMarch 7, 2023

A comprehensive overview of cyber threat intelligence: What it is, how it’s used, the process lifecycle, use cases, and evaluation guidelines.

cybercrime-prevention-requires-premium-threat-intelligence

Premium Threat Intel: A Vital Investment in Cybercrime Prevention

Cyber Threat Intelligence, Cybercrime, Cybersecurity, Information Security, Malicious Detection, Network Security, Phishing DetectionBy zveloDecember 19, 2022

A curated threat intelligence approach, in which aging data is managed based on current attack status, is crucial to preventing cybercrime.

AitM-Adversary-in-the-Middle-Attacker-TTP-to-bypass-MFA-security

AiTM Phishing Attacks: Keeping Up with Attacker TTPs

Cyber Threat Intelligence, Cybersecurity, Malicious Detection, Network Security, Phishing DetectionBy zveloNovember 10, 2022

Attackers are turning up the heat with advanced TTPs like Adversary-in-the-Middle (AiTM) phishing attacks to steal session cookies and bypass MFA security.

OSINT-vs-Commercial-Threat-Intelligence

OSINT vs Commercial Threat Intelligence

Cyber Threat Intelligence, Cybersecurity, Information Security, Malicious Detection, Network Security, Phishing DetectionBy zveloOctober 26, 2022

OSINT vs Commercial Threat Intelligence – A high level overview weighing the pros and cons for each type of threat feed.

In-house-threat-intel

In-House Cyber Threat Intelligence Begs a Multi-Million Dollar Question

Cyber Threat Intelligence, Malicious Detection, Phishing Detection, Technology & InsightsBy zveloJuly 12, 2022

Ingesting threat feeds to build in-house cyber threat intel solutions will prove to be a costly mistake for most. Do you have what it takes?

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