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Artificial Intelligence and the Evolution of Penetration Testing- Part 5, Final

By Vahe Demirkhanyan / 2025-12-30 2025-12-30

Security Vulnerabilities in the AI Pipeline Now that we approximately understand how LLMs work – from neural network architectures through our seven-layer Prompt Flow Model – we can identify exactly where security vulnerabilities emerge. Each layer we’ve described represents not just a processing step, but a potential attack surface. In cybersecurity, we know that complexity …

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Artificial Intelligence and the Evolution of Penetration Testing – Part 4

By Vahe Demirkhanyan / 2025-12-23 2025-12-23

LLM = Neural Network Model? Now we can return on LLM and Neural Network Model, do they mean the same thing? No! LLM is a subset of NNM (Neural Network Model). NNM (Neural network model) – any trained neural network, no matter what it’s for: images, sound, text, games, etc. LLM (Large Language Model) – …

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Artificial Intelligence and the Evolution of Penetration Testing – Part 3

By Vahe Demirkhanyan / 2025-12-01 2025-12-16

Numbers Usually they say that a word (each word) in an LLM model is assigned or associated with a number. In truth, it is not a single number, but more like a huge vector…like this: France: [0.21, -0.85, 1.02, …, 0.17] Paris: [-0.44, 0.73, 0.91, …, -0.05] Here we got two “numbers”, associated with words …

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Artificial Intelligence and the Evolution of Penetration Testing – Part 2

By Vahe Demirkhanyan / 2025-12-01 2025-12-09

Famous Untrained Models There are several well-known neural network architectures / untrained models (the “blank brains”) that have official names. They are a combination of algorithms, theoretical papers on design details, and some later program libraries that were later developed to implement those models, like TensorFlow or PyTorch. They’re famous in AI research because many …

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Artificial Intelligence and the Evolution of Penetration Testing – Part 1

By Vahe Demirkhanyan / 2025-12-01 2025-12-08

Artificial Intelligence (AI) represents a revolution larger than the Internet itself, and it is rewriting the rules of security. To understand AI security, we must first understand Large Language Models (LLMs) – the AI systems we interact with daily. While truly mastering LLMs requires extensive study, this article builds an intuitive, foundational understanding. Too often, …

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