Snyk this week announced it plans to acquire Enso Security, a provider of an application security posture management (ASPM) solution that tracks events and analyzes metadata collected from DevOps and security tools.

At the same time, Snyk revealed it has added a DeepCode AI Fix tool that creates validated fixes for code written by either humans or machines and an Insights tool that helps organizations better prioritize remediation efforts based on the risk to the business. DeepCode AI Fix extends the capabilities of a generative artificial intelligence (AI) capability based on large language models (LLMs) that Snyk gained with the acquisition of DeepCode in 2020.

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Manoj Nair, chief product officer for Snyk, said all of these initiatives represent an effort to extend the reach of Snyk’s portfolio to address a wider range of issues within the context of a larger DevSecOps workflow as well as give developers tools that enable them to write more secure code.

The acquisition of Enso Security is expected to close this quarter. The company has been making a case for an ASPM platform that eliminates the need to manually collect cybersecurity data from the various tools and platforms that a DevOps team may be using.

Despite innumerable cybersecurity concerns, the rate at which applications are being deployed and updated continues to accelerate. The Enso platform makes it possible for cybersecurity teams to keep pace with those projects by discovering issues before an application is deployed in a production environment.

The challenge, of course, is that most development teams are not going to be able to address every issue before an application needs to be deployed. In addition to knowing who is developing what application code, cybersecurity teams need to also prioritize potential issues versus rather than just sharing a list of potential issues that have been discovered. Enso Security’s ASPM platform provides visibility into events so that it’s simpler for cybersecurity teams to trace issues back to individual developers or the AI platform that generated them.

That latter issue is becoming more significant as more development teams rely on general-purpose generative AI platforms to write code, noted Nair. Those platforms are writing that code based on samples collected across the internet, many of which are deeply flawed from a cybersecurity perspective, he added.

The Enso platform is intended to enable cybersecurity teams to have the most impact on an application development project without being forced to interrogate every developer to determine what’s occurring in any application environment. In fact, one of the reasons developers resent those conversations is they know all the relevant data has already been entered into a system—cybersecurity professionals just need to access it.

There’s still a lot of work to be done when it comes to bridging the historic divide between cybersecurity professionals and application developers. However, the more data that can be seamlessly shared between these teams, the simpler it becomes for organizations to embrace DevSecOps best practices.