With the increasing complexity of software development, ensuring strong security practices has become a necessity. Conventional code security tools often fall short in providing the adaptability and cost savings that modern organizations require. Enterprises now seek security solutions that can be tailored and scaled to support every stage of the development lifecycle. This whitepaper explores an AI-powered, affordable alternative to GitGuardian for code security analysis. As a Cisco proof of concept (POC), the solution leverages advanced language models—including Llama 3.1:8b and GPT4oMini—via the Ollama engine/OpenAI.
It is designed to meet the growing need for customizable security scanning, cost reduction and increased productivity in code vulnerability analysis. Our solution aligns with the company’s security posture, ensuring data localization and eliminating the risk of data exposure to public clouds. Key features include scalable project directory analysis, integration with GPT-based models for comprehensive vulnerability detection, customizable configurations for specific security needs and detailed reports to help developers quickly identify and fix potential security issues.
By reducing reliance on third-party tools like GitGuardian, our solution not only offers significant cost savings but also boosts security, productivity and transparency in the code review process. This whitepaper details the innovative architecture of our solution, its financial benefits and demonstrates its effectiveness compared to existing options.
Our latest whitepaper introduces an AI-driven, cost-effective alternative to existing security code tools like GitGuardian. Developed by Cisco, the solution leverages advanced language models such as Llama3.1:8b and GPT4oMini via the Ollama engine/OpenAI. It aims to enhance code security analysis while reducing costs and improving productivity. By leveraging advanced language models and semantic analysis, it provides a comprehensive, scalable and flexible approach to detecting and mitigating code vulnerabilities.
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