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Paper Citation Record · LEDGER

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System

As of 20 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 10 inbound Pith citation observations for arXiv:2411.17058.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.17058 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:36:42.950573Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:03:00.747373Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-29T14:33:31.707538Z

Reference resolution

25 of 25 outbound references displayed

  • verified exact0
  • verified fuzzy19
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dc40207e-e3fe-4f49-996c-8d5b4234f332 · outbound

This paper cites Cyber security threat modeling based on the mitre enterprise att&ck matrix,.

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System Cyber security threat modeling based on the mitre enterprise att&ck matrix,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:36:43.364337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:36:42.846704Z digest=sha256:664d808fa1407789a550c65e03aeb965f723355a20e961ad91b2cbca5289e7d9

Observation c18766df-4e03-4a0c-aef9-c490c2526ea2 · outbound

This paper cites The challenges of leveraging threat intelligence to stop data breaches,.

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System The challenges of leveraging threat intelligence to stop data breaches,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:36:43.351322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:36:42.851778Z digest=sha256:bc689325c86b29d6da33002e197157b801700593b937c639c8d826994173c7bc

Observation 9e99feb9-c690-4ec3-b2ab-a1acb98b7f04 · outbound

This paper cites The battle for new york: A case study of applied digital threat modeling at the enterprise level,.

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System The battle for new york: A case study of applied digital threat modeling at the enterprise level,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:36:43.336246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:36:42.855839Z digest=sha256:6e3fe446e8b2c1154e770c194061995cbd22bdfe9aae83867b3cc5d18bc4d58d

Observation cabb2758-677f-46db-a831-b6ff09505d47 · outbound

This paper cites Machine-generated text: A comprehensive survey of threat models and detection methods,.

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System Machine-generated text: A comprehensive survey of threat models and detection methods,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T12:36:42.860067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:36:42.860067Z digest=sha256:1050e0b8a8cba6a481a64a031c121fb88a004eca4216c2a6de2aab08df59bf5a

Observation 330c473e-c0a6-405c-9009-0a6f8edee644 · outbound

This paper cites Language Models are Few-Shot Learners.

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System Language Models are Few-Shot Learners

Reference 5

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unresolved
no resolver link, observed 2026-08-12T12:36:42.864351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:36:42.864351Z digest=sha256:5cc84a7f5978edd587fedb1492c468311ad077d2290f97a23933694f245518a9

Observation 2b6b7d22-efa2-496c-b4bc-8733717df27e · outbound

This paper cites The Llama 3 Herd of Models.

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System The Llama 3 Herd of Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T12:36:42.868727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:36:42.868727Z digest=sha256:dd5c9f37f4475e47e776c2443f47f97feaf9f6c3d7101cac5e6bcbbf2d84aafe

Observation c8ded355-c447-498c-8a4f-b86063e8d337 · outbound

This paper cites pytm: A pythonic framework for threat modeling,.

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System pytm: A pythonic framework for threat modeling,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:36:43.305273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:36:42.873397Z digest=sha256:b95dd029c45cac8f190dd61ed73e2093b210d830636b673dfc704275f75e54fa

Observation 7b5b6683-dbc9-4273-9621-61209971bfe8 · outbound

This paper cites Stride gpt: An ai-powered threat modeling tool,.

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System Stride gpt: An ai-powered threat modeling tool,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:36:43.289487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:36:42.877439Z digest=sha256:97eb4354a66e0ca60ede4ec317a4e91bd0dcd86d174c31611cf819e27b79f55c

Observation fc30c71b-a19e-49d6-ba42-87868dd71f43 · outbound

This paper cites Cyber Sentinel: Exploring Conversational Agents in Streamlining Security Tasks with GPT-4.

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System Cyber Sentinel: Exploring Conversational Agents in Streamlining Security Tasks with GPT-4

Reference 9

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unresolved
no resolver link, observed 2026-08-12T12:36:42.881871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:36:42.881871Z digest=sha256:4997660771e3be3a8579f3678a65630b03c464820e9b0f9c231b41b6d3404670

Observation 3e59300f-2b77-4fe7-90f7-6e0b83027b25 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System Chain-of-thought prompting elicits reasoning in large language models,

Reference 10

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unresolved
no resolver link, observed 2026-08-12T12:36:42.886157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:36:42.886157Z digest=sha256:53dc198f46fa57c9407d742721c37e0596625ef053cd7f19506fa9366498b836

Observation 6f7211c6-491f-447f-ba92-b1c460c1ce1b · outbound

This paper cites Large language models as optimizers,.

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System Large language models as optimizers,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:36:43.263340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:36:42.890786Z digest=sha256:08951832ab0d2f8ea572a8b4a8358e564646da8099eb2e875ab917674206815a

Observation c47fd733-35a6-42f0-9b4d-8053656cc1ca · outbound

This paper cites Online banking security analysis based on stride threat model,.

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System Online banking security analysis based on stride threat model,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:36:43.250850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:36:42.895304Z digest=sha256:1d98b7ca1b0e75c8ab4ae09bcb261772ae7171a1949b191c5809f4c2095a2157

Observation f3ee380f-d8ba-4b87-b0b4-cf2d6fce9e95 · outbound

This paper cites Security analysis and threat modelling of mobile banking applications,.

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System Security analysis and threat modelling of mobile banking applications,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:36:43.235418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:36:42.900578Z digest=sha256:30c0ae15f3776566610236ae240f1e30b141a9cf75d8fd803a96326390132b1d

Observation d762221c-f0a1-4337-96df-b9850e7eb745 · outbound

This paper cites Threat modeling approaches and tools for securing architectural designs of an e-banking appli- cation,.

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System Threat modeling approaches and tools for securing architectural designs of an e-banking appli- cation,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:36:43.216856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:36:42.904586Z digest=sha256:6a24d7066682bd693a5cb4975536a13283d874f548b4a934758e006acc119bc9

Observation decf7685-00b9-4e61-ad1d-4ad134b9b824 · outbound

This paper cites Understanding the value and potential of threat modeling for application security design: An e-banking case study,.

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System Understanding the value and potential of threat modeling for application security design: An e-banking case study,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:36:43.198403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:36:42.908741Z digest=sha256:02b730f03876d7b0da77541ca2c88a3669818351720626c13c3cd3f3734a4001

Observation 8e42abf3-a206-44ad-b024-45f3325c1ac2 · outbound

This paper cites Iot in banking: The trends, threats, and solution,.

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System Iot in banking: The trends, threats, and solution,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:36:43.181465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:36:42.912489Z digest=sha256:95a77efd81e56bb4c781b924c41692823620260ae34b24afe28e0447a5d2a36d

Observation f9a61027-0895-48e1-8410-4ef7c2c06fbb · outbound

This paper cites Threat modeling and assessment methods in the healthcare-it system: A critical review and systematic evaluation,.

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System Threat modeling and assessment methods in the healthcare-it system: A critical review and systematic evaluation,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:36:43.164868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:36:42.916728Z digest=sha256:fd8c5b0538690fede63357042a9502b2c16222031828bf60251bf7ee7687f8da

Observation eba8d33e-6c54-43fa-8fbf-c16d7692344f · outbound

This paper cites A modern approach for threat mod- elling in agile environments: redesigning the process in a saas company,.

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System A modern approach for threat mod- elling in agile environments: redesigning the process in a saas company,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:36:43.148339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:36:42.920861Z digest=sha256:7f438f0c2302efb6851a45535a923a187ea92b64ebd20218a1d50d94b06a38bb

Observation d73daaba-79c9-4905-8f12-1dc1c5509591 · outbound

This paper cites Stride threat model-based framework for assessing the vulnerabilities of modern vehicles,.

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System Stride threat model-based framework for assessing the vulnerabilities of modern vehicles,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:36:43.131957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:36:42.925573Z digest=sha256:956fbd60e3913b6c3a25393ac9d3530556e81d8593214443863c518762f95d3d

Observation e535c872-2a93-4a03-931a-e6af543eaa42 · outbound

This paper cites Threat modeling and threat intelligence system for cloud using splunk,.

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System Threat modeling and threat intelligence system for cloud using splunk,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:36:43.112213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:36:42.929548Z digest=sha256:3d256455e26bef7dfbb8a8039fdead7f773c21257ac37a84a0d5dad24c71216b

Observation 63e3df94-0f4d-4d59-886c-23ed7c318e31 · outbound

This paper cites Threma: Ontology-based automated threat modeling for ict infras- tructures,.

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System Threma: Ontology-based automated threat modeling for ict infras- tructures,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:36:43.094147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:36:42.933663Z digest=sha256:2eeb45783acb0bbebdcc239480fdf7ad352f8a81be99b423b1606a751b4271f2

Observation e439ae7f-5486-4839-8dc8-7b52b351b471 · outbound

This paper cites “open weakness and vulnerability modeler.

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System “open weakness and vulnerability modeler

Reference 22

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raw_fallback, observed 2026-08-12T12:36:43.079678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:36:42.937758Z digest=sha256:dfc06dc399d266c68c2e384e9a848cd26b87a6a5781ef564aaed5eae90a5c193

Observation 3129980b-a82d-46c3-be3a-0d03bca10cc7 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System LoRA: Low-Rank Adaptation of Large Language Models

Reference 23

Resolution
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no resolver link, observed 2026-08-12T12:36:42.941602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:36:42.941602Z digest=sha256:f15a04cd2f30b7c0f240d81f39b76a71d2ed7c2397743c9202a9e06c0f58028b

Observation d42e467e-d710-49bb-a4a6-d59a466dc8c2 · outbound

This paper cites Threat modeling: a summary of available meth- ods,.

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System Threat modeling: a summary of available meth- ods,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:36:43.065299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:36:42.946467Z digest=sha256:4100b28853f77ea1bbff3d261d9a71265ea58a1ea24d00bb8287a612b263d7cf

Observation 038976e3-6221-4fc8-be57-b9a77083b4ed · outbound

This paper cites Chatgpt: Language model for conversational responses,.

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System Chatgpt: Language model for conversational responses,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:36:43.050719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T12:36:42.950573Z digest=sha256:2491829eb43cc679fa25419535ebb6c1433f31a6654dd7562c40db3c5202055c

Pith citing papers

Observation f7b22b0b-cb7d-4a2f-acb7-dc3f95228778 · inbound

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? cites this paper.

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System

Reference 32

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unresolved
no resolver link, observed 2026-08-15T21:03:00.747373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:03:00.747373Z digest=sha256:4bde1436623040cee9d90755714592aec691b45e70d1f75e2f1185887fcc773d

Observation 277cb9c5-900f-49fa-a75b-663083af5e0f · inbound

On Automating Security Policies with Contemporary LLMs cites this paper.

On Automating Security Policies with Contemporary LLMs ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T10:37:01.975378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:37:01.975378Z digest=sha256:79220988cca5b41a1017fc847c75cd3384963ca0ee872feb9ebaf276d98df9da

Observation 3306623a-453c-4c99-8097-5fdbb132213e · inbound

From Promise to Peril: Rethinking Cybersecurity Red and Blue Teaming in the Age of LLMs cites this paper.

From Promise to Peril: Rethinking Cybersecurity Red and Blue Teaming in the Age of LLMs ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System

Reference 37

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unresolved
no resolver link, observed 2026-08-07T00:35:03.342317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:35:03.342317Z digest=sha256:47bcecd8b828b620153defa0e5d1c3a626de6589a8c6205dff2590e79dce1db0

Observation d661ffc0-bbca-40df-9c21-9b322a2e4dd6 · inbound

Rectified Schr\"odinger Bridge Matching for Few-Step Visual Navigation cites this paper.

Rectified Schr\"odinger Bridge Matching for Few-Step Visual Navigation ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System

Reference 50

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no resolver link, observed 2026-07-13T09:16:25.745868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T09:16:25.745868Z digest=sha256:5d1a2718ea933b275310b5b05bd50fdacdd47efad7d0aa33deda4990ba8005f9

Observation dd75a666-4389-480b-9f71-55706c1aadb2 · inbound

From Incomplete Architecture to Quantified Risk: Multimodal LLM-Driven Security Assessment for Cyber-Physical Systems cites this paper.

From Incomplete Architecture to Quantified Risk: Multimodal LLM-Driven Security Assessment for Cyber-Physical Systems ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:35:51.372166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T19:00:18.148837Z digest=sha256:d590e79056dec7323e7fb1ac47d22a1e7bc2a0bfba100c0337930a1c7b85e8e0

Observation ccb55eb8-71d8-4e32-9f06-863e883c77c1 · inbound

CyberAId: AI-Driven Cybersecurity for Financial Service Providers cites this paper.

CyberAId: AI-Driven Cybersecurity for Financial Service Providers ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System

Reference 22

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verified exact
arxiv_id, observed 2026-05-11T16:21:06.903241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-09T17:28:03.091189Z digest=sha256:53a5176866e047759330d3cc8f5254ed97f0ba518cfb3ca62954f9417118cbdb

Observation 1fa4e68a-1040-4bff-a0ba-7b3b8d9b6dfa · inbound

An Organization-Scoped LLM Agent Runtime Architecture for Regulated Cybersecurity Operations cites this paper.

An Organization-Scoped LLM Agent Runtime Architecture for Regulated Cybersecurity Operations ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System

Reference 27

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verified exact
arxiv_id, observed 2026-06-29T14:33:31.709183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T06:24:58.968035Z digest=sha256:4c3d9501eca23f3f0026a69d220778cd86e86e2c20aca960e888a399bf187750

Observation 44be9660-4639-4627-ae45-482db1e22bcf · inbound

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-07-12T03:57:47.560737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T03:57:47.560737Z digest=sha256:cc3ab3116e5b2cadbf907c663058824e2b150f14137e31b287e06958533b0d36

Observation 938f4e18-9731-4cce-b7fb-012edb83f82d · inbound

ThreatForest: Multi-Agent Attack Tree Generation with Pluggable TTP Framework Mapping cites this paper.

ThreatForest: Multi-Agent Attack Tree Generation with Pluggable TTP Framework Mapping ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System

Reference 2023

Resolution
unresolved
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Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques cites this paper.

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System

Reference 26

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