Kubernetes 1.33 was released today.
Software security threats and DevOps risks are emerging in the AI era, according to the Software Supply Chain State of the Union 2025 from JFrog.
Source: JFrog
The top security factors impacting the integrity and safety of the software supply chain include: CVEs, malicious packages, secrets' exposures, and misconfigurations/human errors. As an example, the JFrog Security Research Team detected 25,229 exposed secrets/tokens in public registries (up 64% YoY). The increasing complexity of software security threats are making it harder to maintain consistent software supply chain security.
"Many organizations are enthusiastically embracing public ML models to drive rapid innovation, demonstrating a strong commitment to leveraging AI for growth. However, over a third still rely on manual efforts to manage access to secure, approved models, which can lead to potential oversights," said Yoav Landman, CTO and Co-Founder, JFrog. "AI adoption will only grow more rapidly. Thus, in order for organizations to thrive in today's AI era they should automate their toolchains and governance processes with AI-ready solutions, ensuring they remain both secure and agile while maximizing their innovative potential."
Key Report Findings Include:
AI/ML Model Proliferation and Attacks are Growing
In 2024, more than 1 million new ML models were added to Hugging Face, with an accompanying 5x increase in malicious models, indicating AI and ML models are increasingly becoming a preferred attack vector for bad actors.
Manual Governance of ML Models is Increasing Risk
Most companies (94%) are using certified lists to govern ML artifact usage, however over one-third (37%) of those rely on manual efforts to curate and maintain their lists of approved ML models. This over-reliance on manual validation creates uncertainty around the accuracy and consistency of ML model security.
Limited Security Scanning Leaving Blind Spots
Alarmingly, only 43% of IT professionals say their organization applies security scans at both the code and binary levels, leaving many organizations vulnerable to security threats only detectable at the binary level. This is down from 56% last year — a sign that teams still have huge blind spots when it comes to identifying and preventing software risk as early as possible.
Critical Vulnerabilities Continue to Rise and be Mis-scored
In 2024, security researchers disclosed over 33K new CVEs, a 27% increase from 2023, surpassing the 24.5% growth rate of new software packages. This trend raises concerns as the growing number of CVEs increases complexity and pressure on developers and security teams, potentially hindering innovation. Meanwhile, JFrog Security found that only 12% of high-profile CVEs rated "critical" (CVSS 9.0-10.0) by government organizations justify the critical severity level they were assigned because they are likely to be exploited by attackers. This pattern is troubling due to a centralized and unchanged scoring methodology over time, which heightens the risk of false positives in assessments and contributes to developers experiencing "vulnerability fatigue."
"We uncovered a clear pattern by CVE scoring organizations to inflate scores and cause an unnecessary level of panic in the industry, sending developers scrambling on remediation efforts that often results in wasted cognitive and professional time," said Shachar Menashe, JFrog VP of Security Research. "When DevSecOps teams are forced to remediate vulnerabilities that aren't ultimately harmful, their everyday workflows are disrupted, which can lead to developer burnout and costly mistakes."
Methodology: The report combines insights from over 1,400 development, security and operations professionals across the US, UK, France, Germany, India and Israel, with developer usage data from JFrog's customers, alongside original CVE analysis by the JFrog Security Research team.
Industry News
Docker announced a major expansion of its AI initiative with the upcoming Docker MCP Catalog and Docker MCP Toolkit.
Perforce Software announced the release of its latest platform update for Puppet Enterprise Advanced, designed to streamline DevSecOps practices and fortify enterprise security postures.
Azul announced JVM Inventory, a new feature of Azul Intelligence Cloud designed to address the complexity and risk of migrating off Oracle Java.
LaunchDarkly announced the acquisition of Highlight, a powerful, open source, full-stack application monitoring platform known for its error monitoring, logging, distributed tracing and session replay capabilities.
O’Reilly announced AI Codecon—a groundbreaking virtual conference series dedicated to exploring the rapidly evolving world of AI-assisted software development.
Veracode unveiled new capabilities offering proactive risk mitigation and automated security at enterprise scale.
Snyk launched Snyk API & Web, delivering a dynamic application security testing (DAST) solution designed to meet the growing demands of modern and increasingly AI-powered software development.
Check Point® Software Technologies Ltd. announced that it has ranked as a Leader and the only Outperformer for its Check Point Quantum Security Solutions in GigaOm’s latest Radar for Enterprise Firewall report.
Postman announced new releases designed to help organizations build APIs faster, more securely, and with less friction.
SnapLogic announced AgentCreator 3.0, an evolution in agentic AI technology that eliminates the complexity of enterprise AI adoption.
GitLab announced the general availability of GitLab Duo with Amazon Q.
Perforce Software and Liquibase announced a strategic partnership to enhance secure and compliant database change management for DevOps teams.
Spacelift announced the launch of Saturnhead AI — an enterprise-grade AI assistant that slashes DevOps troubleshooting time by transforming complex infrastructure logs into clear, actionable explanations.
CodeSecure and FOSSA announced a strategic partnership and native product integration that enables organizations to eliminate security blindspots associated with both third party and open source code.