JFrog report finds AI development driving new software program provide chain threats

JFrog report finds AI development driving new software program provide chain threats



JFrog report finds AI development driving new software program provide chain threats

A brand new report out at this time from software program provide chain firm JFrog Ltd. warns that an growth of synthetic intelligence expertise throughout the software program provide chain has resulted in an alarming rise in safety threats.

The discovering comes from JFrog’s 2025 Software program Provide Chain State of the Union, launched to coincide with the KubeCon + CloudNativeCon Europe conferences. The report highlights rising software program safety threats, evolving DevOps dangers, greatest practices and more and more critical safety considerations within the AI period.

Key findings within the report embody {that a} “quad-fecta” of safety vulnerabilities is threatening the software program provide chain. The highest safety elements affecting the integrity and security of the software program provide chain embody Widespread Vulnerabilities and Exposures, malicious packages, secrets and techniques’ exposures, and misconfigurations and different human errors.

In an instance within the report, the JFrog Safety Analysis Group detected 25,229 uncovered secrets and techniques or tokens in public registries, up 64% year-over-year, of which 27% have been energetic. The more and more subtle and intertwined cloth of software program safety threats make it tough for organizations to take care of constant software program provide chain safety.

AI and machine studying mannequin proliferation and assaults have been discovered to be rising. In 2024, there have been greater than 1 million new fashions and datasets added to Hugging Face, the most important repository of public machine studying fashions, with an accompanying 6.5-times enhance in malicious fashions.

Although publicly uploaded fashions are more and more presenting dangers, organizations manually governing machine studying fashions have been additionally discovered to be rising dangers. Some 94% of organizations create licensed lists of accredited fashions to control how builders use machine studying artifacts, however 37% of corporations nonetheless depend on guide efforts to curate and keep that checklist, creating trepidation across the accuracy and consistency of mannequin safety.

Binary scanning — the method of analyzing compiled software program, or binaries, for safety vulnerabilities and malicious code that might not be detectable within the supply code — was discovered to be missing. Solely 43% of knowledge expertise professionals stated their group applies safety scans at each the code and binary ranges, leaving many organizations weak to safety threats solely detectable on the binary degree. That’s down from 56% in 2023, indicating that regardless of rising dangers, safety fundamentals resembling binary scanning are both being missed or deliberately not utilized.

Different findings within the report included persistent points with open-source safety. Greater than 70% of builders persevering with to obtain packages immediately from public registries, a dangerous apply that may expose complete organizations by way of a single compromised machine. Moreover, crucial software program vulnerabilities are on the rise, with greater than 33,000 new CVEs disclosed in 2024, up 27% year-over-year.

The report additionally highlights considerations over CVE mis-scoring, revealing that solely 12% of CVEs rated as “crucial” have been really exploitable, elevating doubts about present scoring strategies. Lastly, the rising use of a number of safety instruments — 73% of execs report utilizing seven or extra — could also be contributing to elevated complexity and threat, suggesting {that a} streamlined, extra centered strategy may provide higher safety.

Picture: SiliconANGLE/Reve

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