Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions | Paper Citation Record

Observation 995a0a71-d5df-4479-900d-5f1f13f266cc · outbound

This paper cites Current status and security trend of OSINT,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Current status and security trend of OSINT,

Reference 1

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Observation ef841705-d89d-4df9-a2b3-524eb1270461 · outbound

This paper cites Implications of large language models for OSINT: Assessing the impact on information acquisition and analyst expertise in prompt engineering,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Implications of large language models for OSINT: Assessing the impact on information acquisition and analyst expertise in prompt engineering,

Reference 2

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Observation 48552b41-07c6-41db-85d5-5c3f2a83532a · outbound

This paper cites CyberThreat-Eval: Can large language models automate real-world threat research?.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions CyberThreat-Eval: Can large language models automate real-world threat research?

Reference 3

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Observation 2754873e-7c02-448c-8653-d767147cc355 · outbound

This paper cites A framework for embedding generative and agentic AI in open source intelligence,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions A framework for embedding generative and agentic AI in open source intelligence,

Reference 4

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Observation 8ba02174-7403-4811-a644-5d7ee7c5ff5a · outbound

This paper cites LLM-based OSINT agent with memory, knowledge integration, tool application, and self-reflection,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions LLM-based OSINT agent with memory, knowledge integration, tool application, and self-reflection,

Reference 5

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Observation 73b8c4e1-315f-4e0e-bc45-9d81a9a4d8ef · outbound

This paper cites The impact of artificial intelligence on OSINT technologies,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions The impact of artificial intelligence on OSINT technologies,

Reference 6

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Observation e827e20e-8d25-4efe-bca8-be4fb2a5b88a · outbound

This paper cites A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions

Reference 7

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Observation 6dc640c1-dae0-4e2e-a1ff-589ff0adf4c3 · outbound

This paper cites Review of Generative AI Methods in Cybersecurity.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Review of Generative AI Methods in Cybersecurity

Reference 8

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Observation 204931f9-6046-404f-a93a-a4aeb80f260a · outbound

This paper cites A comprehensive approach for enhancing OSINT through leveraging LLMs,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions A comprehensive approach for enhancing OSINT through leveraging LLMs,

Reference 9

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Observation 804b2bb8-6ef8-4694-96b8-30bae68418a7 · outbound

This paper cites KIA: Know it all — an all-inclusive OSINT tool,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions KIA: Know it all — an all-inclusive OSINT tool,

Reference 10

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Observation 70122cf9-3cab-49b7-a7d4-9d3a8d5d1cc1 · outbound

This paper cites Language models are few-shot learners,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Language models are few-shot learners,

Reference 11

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Observation 0ef3031d-ada6-4b15-8eaf-87bfbcd09348 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 12

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Observation 349c7138-94c5-4be6-ba50-cbbd41081f51 · outbound

This paper cites Artificial intelligence in data analysis for open-source investigations,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Artificial intelligence in data analysis for open-source investigations,

Reference 13

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Observation 65299498-8adf-47f8-afa4-7630e96a82b9 · outbound

This paper cites Redefining OSINT software architecture with system-centric architecture design: A framework shaped by QAW, ADD, and ATAM,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Redefining OSINT software architecture with system-centric architecture design: A framework shaped by QAW, ADD, and ATAM,

Reference 14

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Observation cc0b3dc0-7817-471f-877a-4378b1c7cdcb · outbound

This paper cites LLMs for web reconnaissance detection,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions LLMs for web reconnaissance detection,

Reference 15

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Observation 63b23d45-d2d2-4d3a-aa16-8ac15cd7f51e · outbound

This paper cites Privacy and security concerns in generative AI: A comprehensive survey,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Privacy and security concerns in generative AI: A comprehensive survey,

Reference 16

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Observation 60c72e94-c0ec-4823-a9c0-766365907f03 · outbound

This paper cites CyberMetric: A Benchmark Dataset based on Retrieval-Augmented Generation for Evaluating LLMs in Cybersecurity Knowledge.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions CyberMetric: A Benchmark Dataset based on Retrieval-Augmented Generation for Evaluating LLMs in Cybersecurity Knowledge

Reference 17

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Observation 6d8e1281-70eb-4cda-ae20-6fc41679f912 · outbound

This paper cites Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework

Reference 18

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Observation 95abe5f3-9ce7-489d-917f-dc80333d25ab · outbound

This paper cites Generating Fake Cyber Threat Intelligence Using Transformer-Based Models.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Generating Fake Cyber Threat Intelligence Using Transformer-Based Models

Reference 19

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Observation 63ba7f03-6965-4288-93da-328433513464 · outbound

This paper cites GeoLocator: A location-integrated large multimodal model for inferring geo-privacy,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions GeoLocator: A location-integrated large multimodal model for inferring geo-privacy,

Reference 20

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Observation 517db9d1-c8bf-411e-b93f-7d056b177e23 · outbound

This paper cites OSINT or BULLSHINT? exploring open-source intelligence tweets about the russo-ukrainian war,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions OSINT or BULLSHINT? exploring open-source intelligence tweets about the russo-ukrainian war,

Reference 21

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Observation 917a185b-efb0-4d44-b87b-e990638878e3 · outbound

This paper cites Application analysis of generative artificial intelligence in the field of open source intelligence,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Application analysis of generative artificial intelligence in the field of open source intelligence,

Reference 22

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Observation b03fd8a6-ffb7-4ae8-9344-d79c730e3003 · outbound

This paper cites Development of a gamification appli- cation “Osint Maniac.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Development of a gamification appli- cation “Osint Maniac

Reference 23

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Observation 40bbb56d-ad0f-4ba2-b124-5eecc4c302e3 · outbound

This paper cites Exploring OSINT for modern day reconnaissance,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Exploring OSINT for modern day reconnaissance,

Reference 24

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Observation 8d89fcbf-6f9e-4295-a3d5-46c670f41ed6 · outbound

This paper cites A standalone OSINT agency for stronger national secu- rity,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions A standalone OSINT agency for stronger national secu- rity,

Reference 25

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Observation 0b481f20-8ff7-4a78-94ce-6e9e8574a489 · outbound

This paper cites Forecasting Russian Equipment Losses Using Time Series and Deep Learning Models.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Forecasting Russian Equipment Losses Using Time Series and Deep Learning Models

Reference 26

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This paper cites AI-assisted OSINT/SOCMINT for safe- guarding borders: A systematic review,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions AI-assisted OSINT/SOCMINT for safe- guarding borders: A systematic review,

Reference 27

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This paper cites The not yet exploited goldmine of OSINT: Opportunities, open chal- lenges and future trends,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions The not yet exploited goldmine of OSINT: Opportunities, open chal- lenges and future trends,

Reference 28

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This paper cites An AI agent and large language model-based approach to open source intelligence analysis,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions An AI agent and large language model-based approach to open source intelligence analysis,

Reference 29

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This paper cites Empowering LLMs with toolkits: An open-source intelligence acquisition method,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Empowering LLMs with toolkits: An open-source intelligence acquisition method,

Reference 30

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This paper cites LLM agent for disinformation detection based on DISARM framework,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions LLM agent for disinformation detection based on DISARM framework,

Reference 31

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This paper cites OSINT clinic: Co-designing AI- augmented collaborative OSINT investigations for vulnerability assess- ment,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions OSINT clinic: Co-designing AI- augmented collaborative OSINT investigations for vulnerability assess- ment,

Reference 32

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This paper cites Auto- mated API docs generator using generative AI,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Auto- mated API docs generator using generative AI,

Reference 33

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Observation 6cfb95e7-2eb3-4ed9-8b79-1c3371dae2d6 · outbound

This paper cites Cybercheck: OS- INT and web vulnerability scanner,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Cybercheck: OS- INT and web vulnerability scanner,

Reference 34

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This paper cites OPEN EYE: An information gathering tool using OSINT framework,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions OPEN EYE: An information gathering tool using OSINT framework,

Reference 35

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This paper cites Tracing Thought: Using Chain-of-Thought Reasoning to Identify the LLM Behind AI-Generated Text.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Tracing Thought: Using Chain-of-Thought Reasoning to Identify the LLM Behind AI-Generated Text

Reference 36

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This paper cites OSINT for B2B platforms,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions OSINT for B2B platforms,

Reference 37

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This paper cites Use and abuse of personal information, Part I: Design of a scalable OSINT collection engine,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Use and abuse of personal information, Part I: Design of a scalable OSINT collection engine,

Reference 38

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This paper cites Open-source intelligence analysis method based on fine-tuned large models and knowledge graphs,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Open-source intelligence analysis method based on fine-tuned large models and knowledge graphs,

Reference 39

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This paper cites Enhancing autonomous system security and resilience with generative AI: A com- prehensive survey,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Enhancing autonomous system security and resilience with generative AI: A com- prehensive survey,

Reference 40

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Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Examine the role of generative AI in enhancing threat intelligence and cyber security measures,

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This paper cites A practical guide for OSINT investigators to combat disinformation and fake reviews driven by AI (ChatGPT),.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions A practical guide for OSINT investigators to combat disinformation and fake reviews driven by AI (ChatGPT),

Reference 42

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This paper cites Extraction of subjective information from large language models,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Extraction of subjective information from large language models,

Reference 43

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Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Political sentiment analysis on twitter using deep learning and LLM models,

Reference 44

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This paper cites Towards better cyber security consciousness: The ease and danger of OSINT tools in exposing critical infrastructure vulnerabilities,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Towards better cyber security consciousness: The ease and danger of OSINT tools in exposing critical infrastructure vulnerabilities,

Reference 45

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This paper cites Features and implementation of DarkLens: A conceptual tool for advancing open source intelligence (OSINT) through the dark web,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Features and implementation of DarkLens: A conceptual tool for advancing open source intelligence (OSINT) through the dark web,

Reference 46

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This paper cites A study on performance improvement of prompt engineering for generative AI with a large language model,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions A study on performance improvement of prompt engineering for generative AI with a large language model,

Reference 47

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This paper cites Open-source intelligence decision-making and analysis method based on large language models (LLMs),.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Open-source intelligence decision-making and analysis method based on large language models (LLMs),

Reference 48

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This paper cites Fine-tuning large language models for sentiment classification of AI-related tweets,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Fine-tuning large language models for sentiment classification of AI-related tweets,

Reference 49

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This paper cites ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System

Reference 50

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Observation 0977d69b-0bd6-4ae5-85dd-8b48c086df24 · outbound

This paper cites Can generative AI models extract deeper sentiments as compared to IEEE COMMUNICATIONS SURVEYS & TUTORIALS, VOL. XX, NO. X, 2026 36 traditional deep learning algorithms?.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Can generative AI models extract deeper sentiments as compared to IEEE COMMUNICATIONS SURVEYS & TUTORIALS, VOL. XX, NO. X, 2026 36 traditional deep learning algorithms?

Reference 51

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This paper cites Do generative AI tools ensure green code? an investigative study,.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Do generative AI tools ensure green code? an investigative study,

Reference 52

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This paper cites Evaluating the Usability of LLMs in Threat Intelligence Enrichment.

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Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions A Comprehensive Overview of Large Language Models

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Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Challenges and Applications of Large Language Models

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Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Comparative analysis of generative AI models,

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Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Emergent Abilities of Large Language Models

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Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Large language models: Principles and practice,

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Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Research and application of artificial intelligence large language models based on feature enhance- ment,

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Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Accelerating innovation with generative AI: AI-augmented digital prototyping and innovation methods,

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Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Analysis of recom- mender system using generative artificial intelligence: A systematic literature review,

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Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Application of large language models for intent mining in goal-oriented dialogue systems,

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Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions At the dawn of generative AI era: A tutorial-cum-survey on new frontiers in 6G wireless intelligence,

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Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Computer vision and generative AI for yield prediction in digital agriculture,

Reference 72

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