DryRun Security has launched a feature called Natural Language Code Policies (NLCP), allowing developers to define and apply security measures using natural language while coding. This innovation, part of a platform enhanced by recent funding, leverages large language models to evaluate risks in real-time as changes are made to code. CEO James Wickett noted that this approach addresses the shortcomings of traditional legacy tools, which often overwhelm developers with false positives. The additional funding will help expand engineering and marketing efforts, aiming to simplify application security integration in the rapidly evolving AI landscape affecting DevSecOps workflows.
DryRun Security CEO James Wickett stated that the NLCP simplifies the integration of security rules into app development, eliminating reliance on legacy code analysis tools.
Wickett emphasized that as code writing speeds increase due to AI, developers will need AI tools to ensure their code remains secure from vulnerabilities.
The platform's ability to provide Contextual Security Analysis (CSA) helps replace outdated analysis tools that often don't provide trustworthy results.
There is a clear need for better tools in DevSecOps, as developers are currently pressured to handle app security without adequate support.
#application-security #natural-language-processing #ai-in-development #devsecops #software-development
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