A Leaner Path to Secrets Detection in Code

Wiz has introduced an efficient approach to detecting secrets in source code by fine-tuning a small language model based on LLaMA-3.2-1B. This lightweight model achieves high accuracy—86% precision and 82% recall—while avoiding the drawbacks of traditional regex methods and the resource demands of large language models. By using a smart training pipeline that leverages larger models to label high-quality datasets, combined with LoRA fine-tuning and quantization, Wiz created a compact model that runs effectively on standard CPUs. This innovation enables faster, more scalable, and privacy-conscious secret detection that integrates easily into development workflows, helping organizations reduce false positives and improve code security at scale. 

https://www.wiz.io/blog/small-language-model-for-secrets-detection-in-code

Comments

Post a Comment

Popular posts from this blog

Secure Vibe Coding Guide: Best Practices for Writing Secure Code

Ken Huang's "Secure Vibe Coding Guide" emphasizes the importance of integrating security into the software development lifecycle. The guide provides best practices for writing secure code, including input validation, proper authentication mechanisms, and secure data storage techniques. It also highlights the necessity of regular code reviews and staying updated with the latest security vulnerabilities and patches. By following these guidelines, developers can create applications that are resilient against common security threats and contribute to a safer digital environment.  https://kenhuangus.substack.com/p/secure-vibe-coding-guide
Read more

KEVIntel: Real-Time Intelligence on Exploited Vulnerabilities

KEVIntel is a dynamic platform providing up-to-date information on known exploited vulnerabilities (KEVs). It aggregates data from over 50 public sources, including CISA, and enriches each entry with metadata such as EPSS scores, online mentions, scanner inclusion, and exploitation status. The platform aims to serve as an early warning system, offering insights even before official publications. KEVIntel supports various formats like JSON, CSV, and RSS, facilitating integration into security operations. These entries include CVSS scores, exploit status, and links to proof-of-concept code, aiding organizations in prioritizing remediation efforts.   https://kevintel.com/
Read more

OWASP SAMM Skills Framework Enhances Software Security Roles

The OWASP SAMM Skills Framework, introduced on February 9, 2025, is a new initiative donated by Siemens to enhance software security practices within organizations. This framework assigns specific responsibilities to SAMM (Software Assurance Maturity Model) streams, clarifying which roles are involved in advancing each stream. It provides guidance on the necessary skills and training for each role, aligning SAMM-related activities with appropriate stakeholders and their required competencies. This alignment helps organizations identify the right personnel and visualize shared responsibilities, ensuring a structured approach to secure product development. Implementing the OWASP SAMM Skills Framework involves several key steps. Organizations must first map responsibilities to roles, ensuring each task is assigned to the right individual. Next, they must evaluate and align stakeholders with specific SAMM streams, validating that those assigned understand and accept their roles in advanci...
Read more