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Against this backdrop, it is increasingly clear that a sober, critical reflection on the core pillars of AI security is required if we are to prepare ourselves for this largely uncharted territory.
Phishing is the most prevalent causes of devastating cyber attacks. Due to its low bar of entry and high return on investment, cyber criminals heavily invest time and resources in sending billions of phishing emails daily.
In the ever-changing cyber landscape, it is crucial for cybersecurity professionals to stay informed about evolving technologies and emerging threats. This involves engaging with a wide array of content sources.
tl;dr: Chat GPT-4o and Gemini 2.0 Flash demonstrate 90% agreement with human analysis in vulnerability analysis.
In contrary to my previous post, this is a more systematic approach towards understanding the capabilities of AI when it comes to simple vulnerability management tasks.
TL;DR - IP addresses are often seen as low-value IOCs. This article aims to explore how choosing the correct sources based on their intended usage and enrichment can help us make the most out of IP addresses.
I decided to create a custom ChatGPT that would enrich vulnerability scan data with information on which vulnerability is OS or Non-OS related.
When reading a technical or complex article, it's easy to get stuck on certain concepts, miss key details, or struggle to connect different points. Recently, I experimented with using ChatGPT's voice mode to assist me in analyzing an article, and it turned out to be a highly effective method.