JFrog Research Uncovers Weak Links in MLOps & Security Usage within Enterprise Software Supply Chains
New report reveals multiple disconnects between senior executives and hands-on practitioners globally, amplifying gaps in standardized use of AI/ML, security detection and remediation technologies
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New report by JFrog reveals multiple disconnects between senior executives and hands-on practitioners globally, amplifying gaps in standardized use of AI/ML, security detection and remediation technologies. (Graphic: Business Wire)
Software supply chain security breaches are experiencing a significant uptick, according to a recent IDC survey showing a staggering 241% increase in such attacks year-over-year1. Surprisingly, only 30% of the survey respondents identified the need to address vulnerabilities in their software supply chain as a top security concern.
“The complexity of today’s software supply chain poses unprecedented risks. Despite leadership efforts to enable frontline teams with the right equipment, developers are struggling to improve efficiency and accelerate productivity due to tool sprawl, lengthy open source and ML model approvals, plus audit and compliance checks,” said
JFrog’s new report reveals several disparities between security executives and frontline software teams concerning malicious open-source package detection, AI/ML integration, and code-level security scans, including:
- 92% of executives claim their organizations possess tools to detect malicious open-source packages, while only 70% of developers agree with this statement.
- Over 90% of executives believe they are using ML models in their software applications, but only 63% of developers confirm that is the case.
- 88% of executives believe AI/ML tools are being used for security scanning and remediation processes, however only 60% of DevSecOps teams report they are using these tools.
- 67% of executives believe code-level security scans are conducted regularly, while only 41% of developers confirm such is true.
JFrog’s study also delves into regional disparities in software supply chain security, visibility, and use of AI/ML technologies such as:
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Awareness of Security Solutions: 14% of EMEA respondents were unaware of tools for identifying malicious open-source packages, in contrast to lower rates in the US (9%) and
Asia (1%), highlighting a substantial disconnect in EMEA's security strategies and operational understanding. -
Adoption of AI/ML Models: Only 82% of EMEA respondents reported using AI/ML models, compared to 91% in the US and 99% in
Asia . This variance may point toEurope's risk-averse environment influenced by strict regulations, while we see faster adoption of AI/ML technologies in the US.
For deeper insights on how executives can augment collaboration with developers, security, and data science teams to better secure their software supply chains download the full report. You can also register to join JFrog’s Field CISO,
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About JFrog
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1IDC, “IDC Helps Organizations Navigate Software Supply Chain Security with
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