ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) | Paper Citation Record

Observation 07c5a689-8ae3-428c-a71d-1e209a8265bf · outbound

This paper cites Sans soc survey 2024,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Sans soc survey 2024,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:27.373693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94c07a30-865c-4223-9dd7-110156a46fbb · outbound

This paper cites 99% false positives: A qualitative study of{soc}analysts’ perspectives on security alarms,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) 99% false positives: A qualitative study of{soc}analysts’ perspectives on security alarms,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:27.443308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21d8c1a3-3128-4a89-b41a-062b152beeba · outbound

This paper cites Knerler, I.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Knerler, I

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:27.527343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ed68f11-a98a-4f01-ae2f-d28d214b7737 · outbound

This paper cites Towards human-AI teaming to mitigate alert fatigue in security operations centres,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Towards human-AI teaming to mitigate alert fatigue in security operations centres,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:27.608012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e29db6c1-5e8a-4e13-8283-e63571143147 · outbound

This paper cites Are we there yet? an industrial viewpoint on provenance-based endpoint detection and response tools,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Are we there yet? an industrial viewpoint on provenance-based endpoint detection and response tools,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:27.707335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62d6605b-4e83-4c48-af66-dc6fd31adb04 · outbound

This paper cites Tactical provenance analysis for endpoint detection and response systems,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Tactical provenance analysis for endpoint detection and response systems,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:27.807653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10575b60-116d-4287-86c4-31870ba70214 · outbound

This paper cites DEEPCASE: Semi-Supervised contextual analysis of security events,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) DEEPCASE: Semi-Supervised contextual analysis of security events,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:27.968491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9fa6b0f-c829-4c39-83cf-3be107031454 · outbound

This paper cites ATTACK2VEC: Leveraging Temporal Word Embeddings to Understand the Evolution of Cyberattacks.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) ATTACK2VEC: Leveraging Temporal Word Embeddings to Understand the Evolution of Cyberattacks

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:54:35.757214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d556755a-a5fd-473c-b95c-97bc40e83cc8 · outbound

This paper cites SeqMask: Behavior extraction over cyber threat intelligence via multi-instance learning,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) SeqMask: Behavior extraction over cyber threat intelligence via multi-instance learning,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:28.139169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4a0c6ce-f31e-4192-bd9b-9ca765a42f4e · outbound

This paper cites Trident: A universal framework for fine-grained and class-incremental unknown traffic detec- tion,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Trident: A universal framework for fine-grained and class-incremental unknown traffic detec- tion,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:28.225751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a941c21f-9c80-4b1c-8ff8-253868167e01 · outbound

This paper cites Effect of automation transparency in the management of multiple unmanned vehicles,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Effect of automation transparency in the management of multiple unmanned vehicles,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:28.317690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffa93f3b-2b3c-4501-b8a0-f12b8b7a6933 · outbound

This paper cites AI-driven guided response for security operation centers with microsoft copilot for security,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) AI-driven guided response for security operation centers with microsoft copilot for security,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:28.378643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eff96c71-8782-4b57-89e2-5cef9b7426e4 · outbound

This paper cites Impact of team collaboration on cybersecurity situational awareness,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Impact of team collaboration on cybersecurity situational awareness,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:28.483821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad42834d-b8be-4153-8f9b-91fac1ef11ef · outbound

This paper cites Opportunities and challenges for Human-Machine teaming in cybersecurity operations,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Opportunities and challenges for Human-Machine teaming in cybersecurity operations,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:28.572268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0297c9ef-15ee-484c-ab6a-4185f7cd3ac7 · outbound

This paper cites Considerations for Human- Machine teaming in cybersecurity,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Considerations for Human- Machine teaming in cybersecurity,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:28.644718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e998fc6b-955a-4e72-bdad-e525ca701400 · outbound

This paper cites Adapt and overcome: Perceptions of adaptive autonomous agents for Human-AI teaming,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Adapt and overcome: Perceptions of adaptive autonomous agents for Human-AI teaming,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:28.760761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 830a1688-e286-40d3-8662-0e19113f817b · outbound

This paper cites Machines as teammates: A research agenda on AI in team collaboration,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Machines as teammates: A research agenda on AI in team collaboration,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:28.845947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42d796e9-7eda-4d85-af81-a8a862464f32 · outbound

This paper cites Human-machine teaming is key to AI adoption: clinicians’ experiences with a deployed machine learning system,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Human-machine teaming is key to AI adoption: clinicians’ experiences with a deployed machine learning system,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:28.920507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b6b0221-dcdc-4cb5-b567-4e1dc575fcdd · outbound

This paper cites A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI Teams.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI Teams

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:29.000570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6e54cc7-c5d8-4591-b294-9d6851fbd4e5 · outbound

This paper cites Com- bating alert fatigue with AlertPro: Context-aware alert prioritization using reinforcement learning for multi-step attack detection,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Com- bating alert fatigue with AlertPro: Context-aware alert prioritization using reinforcement learning for multi-step attack detection,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:29.104181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21c5111a-5087-4196-bbad-418939647fd6 · outbound

This paper cites Trust my IDS: An explainable AI integrated deep learning-based transparent threat detection system for industrial networks,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Trust my IDS: An explainable AI integrated deep learning-based transparent threat detection system for industrial networks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.872418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c021e635-32ce-4836-a611-fb0e2fe11189 · outbound

This paper cites Human-in-the-loop cyber intrusion detection using active learning,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Human-in-the-loop cyber intrusion detection using active learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.864312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b49631a9-0d5d-4bc2-8451-e9829dc0e7ea · outbound

This paper cites Everybody’s got ML, tell me what else you have: Practitioners’ perception of ML-Based security tools and explanations,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Everybody’s got ML, tell me what else you have: Practitioners’ perception of ML-Based security tools and explanations,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.856529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7cc9b6b8-027c-4240-9fb3-0ceedc076a9d · outbound

This paper cites An assessment of the usability of machine learning based tools for the security operations center,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) An assessment of the usability of machine learning based tools for the security operations center,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.848823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7a90c7e7-0dfb-4744-9c51-1be3eeb757fe · outbound

This paper cites Asynchronous methods for deep reinforcement learning,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Asynchronous methods for deep reinforcement learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.839898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6b59f4b1-a761-4f93-a347-bd0217089a73 · outbound

This paper cites Proximal policy optimization algorithms,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Proximal policy optimization algorithms,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.831244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 172966cb-bd64-4696-a1de-0ac4ea7d1c73 · outbound

This paper cites Human-level control through deep reinforcement learning,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Human-level control through deep reinforcement learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.823244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3ad116ce-c4e3-499e-84eb-71587cd76eaa · outbound

This paper cites Generating network intrusion detection dataset based on real and encrypted synthetic attack traffic,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Generating network intrusion detection dataset based on real and encrypted synthetic attack traffic,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.814746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 91eb225f-24eb-4a7b-b597-5dd6aafd128b · outbound

This paper cites UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set),.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set),

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.806923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 235b7265-a951-4d48-b6d4-dd8c476afb58 · outbound

This paper cites Learning robust rewards with adversarial inverse reinforcement learning,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Learning robust rewards with adversarial inverse reinforcement learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.798115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b0ae6138-77c7-4e39-a376-fe0164f6de6b · outbound

This paper cites Generative adversarial imitation learning,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Generative adversarial imitation learning,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:30.025906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adc18d2c-dbc8-4953-b253-7b91e53e36f0 · outbound

This paper cites Behavioral cloning from observa- tion,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Behavioral cloning from observa- tion,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.785057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 07dae80c-7dad-40db-a19f-71eb41e45d24 · outbound

This paper cites Dos and don’ts of machine learning in computer security,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Dos and don’ts of machine learning in computer security,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.777452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4ebafaa6-3257-49d4-a710-4619ec2960d7 · outbound

This paper cites Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.770213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 691b80af-d66c-493f-b9de-346baaf25a1a · outbound

This paper cites UNICORN: Runtime provenance-based detector for advanced persistent threats,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) UNICORN: Runtime provenance-based detector for advanced persistent threats,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.762623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8b1f2c70-59fe-4bd6-afe7-93426098ee1d · outbound

This paper cites MAlign: Explainable static raw- byte based malware family classification using sequence alignment,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) MAlign: Explainable static raw- byte based malware family classification using sequence alignment,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.754957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4e608596-dec1-4de4-89ce-837e7491dc78 · outbound

This paper cites An overview of the strategic advan- tages of AI-Powered threat intelligence in the cloud,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) An overview of the strategic advan- tages of AI-Powered threat intelligence in the cloud,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.747476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5ae65c20-68a5-4b79-aebb-411fc14f25ab · outbound

This paper cites Kovacevic and N.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Kovacevic and N

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.739458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ec19dc05-7e47-4c47-a561-f33ffff6d7c0 · outbound

This paper cites Context2Vector: Accelerating security event triage via context representation learning,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Context2Vector: Accelerating security event triage via context representation learning,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.732502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 79ac83a1-81ee-4a12-b757-0786baf9121b · outbound

This paper cites RAPID: Real-Time alert investigation with context-aware prioritization for efficient threat discovery,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) RAPID: Real-Time alert investigation with context-aware prioritization for efficient threat discovery,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.723253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 37b75aff-6e44-44b2-8c04-a84d0c46e70e · outbound

This paper cites DrSec: Flexible distributed representations for efficient endpoint security,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) DrSec: Flexible distributed representations for efficient endpoint security,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.713752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9b856d3a-4a9c-49bc-8286-f58b547620d5 · outbound

This paper cites MStream: Fast anomaly detection in multi-aspect streams,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) MStream: Fast anomaly detection in multi-aspect streams,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.706764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 595a6f82-8354-4423-b509-0d036c968ad4 · outbound

This paper cites Net-track: Generic web tracking detection using packet metadata,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Net-track: Generic web tracking detection using packet metadata,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.698898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 664f2140-d648-4999-9cf9-83b3fb525c1d · outbound

This paper cites Flow-MAE: Leveraging masked AutoEncoder for accurate, efficient and robust malicious traffic classifi- cation,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Flow-MAE: Leveraging masked AutoEncoder for accurate, efficient and robust malicious traffic classifi- cation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.691157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e8556e40-c861-4d43-a90c-0dca7cac778f · outbound

This paper cites FlowTransformer: A transformer framework for flow-based network intrusion detection systems,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) FlowTransformer: A transformer framework for flow-based network intrusion detection systems,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.683429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 90ee5732-7dbd-46e1-a205-544ca145c274 · outbound

This paper cites Who goes first? influences of Human-AI workflow on decision making in clinical imaging,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Who goes first? influences of Human-AI workflow on decision making in clinical imaging,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.674722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 69e009e9-47e0-4728-96fb-8f817a2a41cb · outbound

This paper cites To trust or to think: Cognitive forcing functions can reduce overreliance on AI in AI-assisted decision-making,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) To trust or to think: Cognitive forcing functions can reduce overreliance on AI in AI-assisted decision-making,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.667946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a4b56bc9-763e-4d28-b326-67b7864406e8 · outbound

This paper cites Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.660841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 27275531-1303-46e9-ba15-115f7d0ff2dc · outbound

This paper cites Explainable AI is dead, long live explainable AI! hypothesis- driven decision support using evaluative AI,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Explainable AI is dead, long live explainable AI! hypothesis- driven decision support using evaluative AI,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.653685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 14d8305d-37b6-4576-b909-5135efe1bd30 · outbound

This paper cites Towards the new XAI: A Hypothesis-Driven approach to decision support using evidence,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Towards the new XAI: A Hypothesis-Driven approach to decision support using evidence,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.645607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 160de403-2557-4816-a418-8d884d697d7d · outbound

This paper cites The effects of explanations on automation bias,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) The effects of explanations on automation bias,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.636998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c6d790e0-ff1d-4006-9724-ba3bf4bbfae1 · outbound

This paper cites Shneiderman,Human-Centered AI.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Shneiderman,Human-Centered AI

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.628844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 64643642-858f-46b9-b1ce-93ddb421aa4d · outbound

This paper cites A unified approach to interpreting model predictions,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) A unified approach to interpreting model predictions,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.621189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a4351ad5-b97d-4937-9ad3-4498ec0d02b4 · outbound

This paper cites A value for n-person games,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) A value for n-person games,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.613528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bc7c2b28-fd8e-4204-8e02-7bfefcd056d5 · outbound

This paper cites A systematic literature review for network intrusion detection system (IDS),.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) A systematic literature review for network intrusion detection system (IDS),

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.604911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3b2a9c9c-d3af-47b9-ba86-cf42d73e7e61 · outbound

This paper cites Explainable artificial intelligence (XAI) for intrusion detection and mitigation in intelligent connected vehicles: A review,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Explainable artificial intelligence (XAI) for intrusion detection and mitigation in intelligent connected vehicles: A review,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.596561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 82335af1-be36-463c-9e35-262dc1e55fb7 · outbound

This paper cites Explainable AI for intrusion detection systems: A model development and experts’ evaluation,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Explainable AI for intrusion detection systems: A model development and experts’ evaluation,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.589157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0bad3da2-145f-44b4-a38f-9cb4254d0f2c · outbound

This paper cites Explainable AI for comparative analysis of intrusion detection models,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Explainable AI for comparative analysis of intrusion detection models,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.581292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e1ed618c-43fa-4dc5-9e01-ca32f718ce25 · outbound

This paper cites XAI-IDS: Toward proposing an explainable artificial intelligence framework for enhancing network intrusion detection systems,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) XAI-IDS: Toward proposing an explainable artificial intelligence framework for enhancing network intrusion detection systems,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.572019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b7c2451a-587d-48ab-adf6-7088ff5cc763 · outbound

This paper cites Towards understanding alerts raised by unsupervised network intrusion detection systems,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Towards understanding alerts raised by unsupervised network intrusion detection systems,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.564142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 71361719-7031-43de-8ae3-c161bab36a5d · outbound

This paper cites Robust network intru- sion detection through explainable artificial intelligence (XAI),.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Robust network intru- sion detection through explainable artificial intelligence (XAI),

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.557117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6b269daf-2a73-4bd1-8814-ed3ed859fec5 · outbound

This paper cites Evaluating feature relevance XAI in network intrusion detection,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Evaluating feature relevance XAI in network intrusion detection,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.548726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 03d879a0-df55-4ca5-9e0e-0752259e49a1 · outbound

This paper cites an unresolved cited work.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:54:36.541290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9b968b1b-78da-4006-84c2-710931598c37 · outbound

This paper cites A survey of imitation learning: Algorithms, recent developments, and challenges,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) A survey of imitation learning: Algorithms, recent developments, and challenges,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.435846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ff1f96f7-2492-4f3c-9b34-52668a05109d · outbound

This paper cites Imitation learning: Progress, taxonomies and challenges,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Imitation learning: Progress, taxonomies and challenges,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.425981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4d535002-3213-4c29-b8c3-5aa74626a8cf · outbound

This paper cites Contextual information fusion for in- trusion detection: a survey and taxonomy,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Contextual information fusion for in- trusion detection: a survey and taxonomy,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.417465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8d291ca9-41eb-48cf-86a6-0e3f2bc985a7 · outbound

This paper cites Network traffic anomaly detection model based on feature grouping and multi-autoencoders integration,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Network traffic anomaly detection model based on feature grouping and multi-autoencoders integration,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.407856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3a81ed86-e6a6-4a97-9968-eda11ac10a61 · outbound

This paper cites FSS-PART: Feature grouping subset model for predicting network attacks,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) FSS-PART: Feature grouping subset model for predicting network attacks,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.399322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ea9aaed5-75a2-468a-819a-b9b459e67558 · outbound

This paper cites A lightweight and efficient IoT intrusion detection method based on feature grouping,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) A lightweight and efficient IoT intrusion detection method based on feature grouping,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.390306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fdc2fcb7-2e00-45a9-bf88-e8b5a1d7a3af · outbound

This paper cites Muniz,The Modern Security Operations Center.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Muniz,The Modern Security Operations Center

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.381313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 58b1e3f0-b2e6-46a8-b79f-a8745a625dca · outbound

This paper cites Learning from class-imbalanced data: Review of methods and applications,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Learning from class-imbalanced data: Review of methods and applications,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.371011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 31e7dcad-cad7-4726-aa71-9c4468e4b16a · outbound

This paper cites Machine learning and large language models-based techniques for cyber threat detection: A comparative study,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Machine learning and large language models-based techniques for cyber threat detection: A comparative study,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.361888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cca428c8-b267-4870-ada1-0f53c6c1110a · outbound

This paper cites Efficient anomaly detection in tabular cybersecurity data using large language models,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Efficient anomaly detection in tabular cybersecurity data using large language models,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.352793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c5fd19dd-1393-478f-9f26-2a65d080a691 · outbound

This paper cites Anomaly detection in fog computing architectures using custom tab transformer for internet of things,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Anomaly detection in fog computing architectures using custom tab transformer for internet of things,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.343274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4d6b24b9-c05e-4931-a49e-920cf4b77e5c · outbound

This paper cites Foundations for an empirically determined scale of trust in automated systems,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Foundations for an empirically determined scale of trust in automated systems,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.332343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 956f38d9-0ed7-46b1-9b4d-186790ec56e4 · outbound

This paper cites Development and validation of two instruments measuring intrinsic, extraneous, and germane cognitive load,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Development and validation of two instruments measuring intrinsic, extraneous, and germane cognitive load,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.323854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c294b4ae-3ecd-40a9-8366-c99d6cc27f8a · outbound

This paper cites Designing for appropriate reliance: The roles of ai uncertainty presentation, initial user decision, and user demographics in ai-assisted decision-making,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Designing for appropriate reliance: The roles of ai uncertainty presentation, initial user decision, and user demographics in ai-assisted decision-making,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.314159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cb0f07ab-3077-407c-a9a6-c2a86b8a6a79 · outbound

This paper cites Mix and match: Charac- terizing heterogeneous human behavior in ai-assisted decision making,.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Mix and match: Charac- terizing heterogeneous human behavior in ai-assisted decision making,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.303005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 332ac6d9-89c8-4c28-9f76-56886c405674 · outbound

This paper cites Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:34.026039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5c61284-ff38-49ed-b99a-24caf65233c6 · outbound

This paper cites an unresolved cited work.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:54:36.293713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e879568a-8830-47a9-a421-91ee88be3872 · outbound

This paper cites See Figure 15 to see how participants were told they could use it.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) See Figure 15 to see how participants were told they could use it

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.284634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0e1e7ba7-a687-4b06-ad8b-69b1c799d9ff · outbound

This paper cites (Figure 16).

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) (Figure 16)

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.275832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8e2f8a3c-7ae0-46d8-8b1d-caff08d04984 · outbound

This paper cites These explanations show each feature’s positive or negative contribution towards the alert being classified into each class (Figure 17).

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) These explanations show each feature’s positive or negative contribution towards the alert being classified into each class (Figure 17)

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.267116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6a4a8dbb-c302-499f-8baa-7ea0da404aa8 · outbound

This paper cites They will also report their confidence level in the decision and indicate to what extent they relied on the visualisations, explanations, and prior knowledge (Figure 19).

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) They will also report their confidence level in the decision and indicate to what extent they relied on the visualisations, explanations, and prior knowledge (Figure 19)

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.258294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 58adc53b-1e33-4959-8136-e518e7e4af36 · outbound

This paper cites We explicitly instructed them that they were rating the AI and the explanations that it generates relative to the task and not their trust in AI in general.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) We explicitly instructed them that they were rating the AI and the explanations that it generates relative to the task and not their trust in AI in general

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.249988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a0a25ae2-30ec-4f41-a9c3-9ff77b9032a9 · outbound

This paper cites an unresolved cited work.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:54:36.242027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ffeb3326-809a-4277-8422-3d3b4e7b5192 · outbound

This paper cites an unresolved cited work.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Unresolved cited work

Reference 87

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:54:36.235276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 320ec379-05ef-48df-8cd5-e6cd538299f9 · outbound

This paper cites an unresolved cited work.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:54:36.228276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fcd88e76-d05d-408e-ac6a-6a345a4f70fe · outbound

This paper cites an unresolved cited work.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:54:36.221202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c2251678-26e0-4381-bf72-cea0a16ac7ca · outbound

This paper cites This iterative process allows the simulated analysts to learn how to classify alerts efficiently by requesting the most relevant context features.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) This iterative process allows the simulated analysts to learn how to classify alerts efficiently by requesting the most relevant context features

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.212998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 881896f8-c122-4417-8423-a88674983a91 · outbound

This paper cites an unresolved cited work.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Unresolved cited work

Reference 91

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:54:36.205701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bbc33d62-c4fc-4c73-8263-8a37b35d975c · outbound

This paper cites 18: Discussion of how to interpret explainability information.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) 18: Discussion of how to interpret explainability information

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.198674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d988e92f-bbd1-47ce-b34c-1a887794f7b0 · outbound

This paper cites After training, ContextBuddy can assist analysts by sug- gesting relevant context features for new alerts, effectively Fig.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) After training, ContextBuddy can assist analysts by sug- gesting relevant context features for new alerts, effectively Fig

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.190882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 528a2947-22ff-4128-af65-f53e2d8054b2 · outbound

This paper cites an unresolved cited work.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Unresolved cited work

Reference 94

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:54:36.180732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d6a6ec65-44ce-45d4-ba39-756c5022f7e1 · outbound

This paper cites an unresolved cited work.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Unresolved cited work

Reference 95

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:54:36.170955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a409efc7-9554-420b-8a31-b452767960af · outbound

This paper cites This collaboration ensures that the analyst and Con- textBuddy contribute to the alert classification process, leveraging each party’s strengths.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) This collaboration ensures that the analyst and Con- textBuddy contribute to the alert classification process, leveraging each party’s strengths

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.109832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4b5e2be9-8f95-48dc-9576-9c253bd34ec4 · outbound

This paper cites Re- call that the results reported in the main paper are aggregated results.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) Re- call that the results reported in the main paper are aggregated results

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:36.021306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 07673031-9e98-413c-b2af-332c53fe5817 · outbound

This paper cites 26: ContextBuddy (AIRL Assistant) Training Process Fig.

ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection) 26: ContextBuddy (AIRL Assistant) Training Process Fig

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:54:35.883310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers