More Open Source Security episodes
Published 23 Mar 2026
Duration: 35:48
The State of the Software Supply Chain Report underscores explosive open source growth (10T annual downloads) paired with critical challenges like malware proliferation (1.2M malicious packages), unresolved vulnerabilities (65% unaddressed), infrastructure strain, AI's dual role in risk (hallucinations) and potential (MCP systems), and urgent needs for improved tools, policies, and cost management amid regulatory and scalability pressures.
Josh chats with Brian Fox from Sonatype about their 2026 State of the Software Supply Chain report. Most of the number continue to grow at alarming ra...
The podcast discusses Sonatypes long-running State of the Software Supply Chain Report (SSCR), which tracks trends and challenges in the open source ecosystem over 11 years. Key trends include growing awareness of open source reliance in the 2010s, the rise of SBOMs (Software Bill of Materials) for transparency, and the increasing prevalence of malware in open source packages, now reaching 1.2 million malicious components annually. Stakeholders also highlight concerns about end-of-life (EOL) components, which persist despite awareness, and the unsustainable costs of maintaining public registries like Maven Central, which face $510 million in annual operational expenses without adequate funding.
Open source usage has surged, with 9.8 trillion downloads in 2023 alone, surpassing Google search volume, but this growth strains infrastructure and creates challenges in managing software waste, such as unused code and "intentional garbage" in repositories. Malware volume is doubling yearly, while AI tools introduce new risks, including versioning errors and slop squatting, where attackers exploit AI-generated project names. The NVD (National Vulnerability Database) remains underfunded, with 65% of open source vulnerabilities unaddressed, and data quality issues in public databases exacerbate security risks.
The report underscores the need for improved vulnerability management, SBOM adoption, and funding models for registries to address scalability and sustainability. Case studies like Log4Shell reveal persistent gaps in patch adoption, even after high-profile vulnerabilities. While AI tools offer potential solutions, they also introduce risks like hallucinations and misaligned recommendations, necessitating human oversight or hybrid systems like Model Control Protocols (MCP) to refine AI-driven decisions. The industry faces ongoing challenges in balancing security, innovation, and the growing complexity of managing open source dependencies at scale.
30 Mar 2026 Open Source Security at scale with Michael Wisner
The Alpha Omega Project addresses open-source security by targeting leverage points like Node.js and Python ecosystems, advocating for systemic solutions, dedicated security roles, sustainable funding, and registry infrastructure improvements to counter fragmented practices and downstream risks.
16 Mar 2026 MCP and Agent security with Luke Hinds
The text explores AI agent security risks like prompt injection and open-source vulnerabilities, emphasizing the No-NO project's kernel-based sandboxing with a deny-by-default model, hardware enclaves, and Rust-driven efficiency, alongside layered defenses, restricted commands, and collaborative efforts to tackle evolving threats like social engineering and insecure coding practices.
9 Mar 2026 The State of OpenSSL for pyca/cryptography with Alex Gaynor and Paul Kehrer
OpenSSL 3.0 is criticized for increased complexity, performance issues, and insufficient progress in testing and memory safety, sparking debate over its adoption and the need for alternative cryptographic libraries.
2 Mar 2026 Rust coreutils with Sylvestre Ledru
A modern rewrite of Unix command-line tools using Rust aims for memory safety, performance, and maintainability while achieving high compatibility.
23 Feb 2026 Goose and the Agentic AI Foundation with Brad Axen
The development and application of AI tools, such as Goose AI, in software development is explored, highlighting challenges and opportunities in using AI-generated code and the evolving role of developers.