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This is a Literature Review study.

August 17, 2025Open Access

Securing the Software Development Lifecycle with Large Language Models: A Framework for Automated Threat Modeling and Secure Code Generation

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Large language models significantly improve vulnerability detection and secure code generation in software security, though challenges remain.
The review indicates that effective threat modeling leveraging large language models can enhance security by 20%, while addressing false positives is crucial.
Through comprehensive analysis, this review examines methodologies like fine-tuning and prompt engineering to maximize model effectiveness in real-world applications.
Addressing issues like low interpretability and model trust, the findings emphasize the need for hybrid systems combining large language models with traditional analysis tools.

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Implication

This review outlines how large language models enhance automated threat modeling and vulnerability detection, suggesting innovative strategies for secure code generation.

Cite This Study

Chakraborty et al. (2025) studied this question.

synapsesocial.com/papers/68a36c270a429f797332fdeb https://doi.org/10.20944/preprints202508.0801.v1

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Implication

This review outlines how large language models enhance automated threat modeling and vulnerability detection, suggesting innovative strategies for secure code generation.

Securing the Software Development Lifecycle with Large Language Models: A Framework for Automated Threat Modeling and Secure Code Generation

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Implication

Cite This Study

Securing the Software Development Lifecycle with Large Language Models: A Framework for Automated Threat Modeling and Secure Code Generation

Key Points

Discussion

Implication

Cite This Study

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