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Cybersecurity AI Assist

Published by Acalvio

This whitepaper examines the creation of AI-driven cybersecurity assistants using large language models (LLMs) to streamline threat detection and response processes. It details how LLMs can help cybersecurity professionals manage evolving threats by offering real-time, contextually relevant information based on frameworks like MITRE ATT&CK. The paper also explores the integration of retrieval augmented generation (RAG) to improve accuracy and reduce false positives. By automating tasks and providing instant insights, these AI assistants significantly enhance efficiency and decision-making in cybersecurity operations.

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Related Categories Cybersecurity, Artificial Intelligence, AI Ethics, AI Platforms, Threat detection, Intrusion prevention, Security Analytics, Data encryption, Identity management, Risk Assessment, Cyber threat intelligence, Network security, Endpoint protection

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