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AI Glossary

Explore key AI-driven cybersecurity terms, from adversarial attacks to threat detection, and how AI is reshaping the fight against cyber threats.

AI Email Security

AI email security is the use of artificial intelligence technologies to safeguard email communication from cyber threats.
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AI Native

AI Native refers to products, services, or organizations that are inherently designed around artificial intelligence, embedding it as a foundational component rather than as an add-on.
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Artificial Intelligence (AI)

Artificial intelligence is the simulation of human intelligence by machines to perform tasks such as learning, reasoning, and decision-making.
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Behavioral AI

Behavioral AI combines artificial intelligence techniques with behavioral science to analyze and interpret human actions, preferences, and patterns.
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Deep Learning

Deep learning is a type of ML using neural networks with many layers to analyze complex data patterns
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Generative AI

Generative AI refers to artificial intelligence systems designed to produce original and realistic content by learning patterns and structures from vast datasets.
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Large Language Models (LLMs)

Large language models (LLMs) are advanced machine learning models trained on extensive text datasets to understand and generate human-like language.
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Machine Learning (ML)

Machine learning is a subset of AI focused on algorithms that enable systems to learn and improve from experience without being explicitly programmed.
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Malicious AI

Malicious AI encompasses the intentional misuse or weaponization of artificial intelligence to conduct activities that harm individuals, organizations, or societies.
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Natural Language Processing (NLP)

Natural language processing (NLP) is a field of artificial intelligence that focuses on enabling computers to understand, interpret, and respond to text or speech in a way that feels natural to humans.
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