Managing the confluence of emerging and established technologies is a significant part of ongoing digital transformation initiatives.
Previously, technologies were siloed by department or use case. Cybersecurity solutions focused on external threats using traditional firewalls, data analysis was the preserve of trained specialists, and AI tools were confined to specific tasks and outcomes.
Now, technology platforms and approaches are often intermingled, with data driving every development and AI/hyperautomation informing security and productivity processes.
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With its latest product launch, DroidGPT, Endor Labs furthers this trend by incorporating the latest generative AI capabilities into its existing cybersecurity platform. Endor Labs is on the Acceleration Economy Top 10 Shortlist of firms that represent Cybersecurity as a Business Enabler.
DroidGPT, currently in private beta, is an extension of the Endor Labs platform that leverages ChatGPT to enable users to assess open-source software (OSS) using natural language search. DroidGPT’s core objective is to make it easier for users to find the most secure and relevant version of an OSS package by utilizing the power of generative and conversational AI alongside Endor Labs’ proprietary catalog of risk data.
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With DroidGPT, developers can make queries from inside the Endor Labs platform and receive instant guidance. A sample series of questions provided by Endor Labs include “What packages in the Go programming language have a similar function as log4j?”, “What packages are similar to go-memdb?” and “Which Go packages have the least known vulnerabilities?”
As well as the resulting answers to queries, users of DroidGPT also receive an Endor Score. This risk rating reveals metrics such as the popularity of a software package, quality levels, trustworthiness, and, crucially, how secure it is. Developers can then use these results to automatically develop policies to apply within their software development platform.
Dedicated metrics, as well as easy-to-use search functionality, make it simple for developers to find open-source packages that aren’t out of date and include full-spectrum security. Instead of selecting a package that may have known vulnerabilities that are yet to be remediated, DroidGPT enables users and developers to quickly find alternatives using regular questions that slash the time it would take through manual research.
Ultimately, DroidGPT provides a simple way of finding and analyzing OSS in a manner that provides additional context and supports automated policies. Combining real-world risk data with conversational AI streamlines the process of finding and onboarding open-source software, making it faster, more efficient, and more secure.
