UK's AI Safety Institute Unveils Platform to Accelerate Safe AI Development
The UK's open source AI safety evaluation platform, Inspect, is set to empower global collaboration for safer AI development
Open-source software enables code review and reuse, but known vulnerabilities and unmaintained dependencies can create cybersecurity risks.
Search across headline titles and summaries.
Background for this topic.
Open source is software whose source code is available under a license that permits use, inspection, modification, and redistribution. It may be developed by a community, an organization, or a small group of maintainers; “open” does not guarantee that the code is actively reviewed, supported, or secure.
For security teams, the main concerns are vulnerabilities in dependencies and the software supply chain: a maintainer account, release process, or package can be compromised, while an unmaintained component may retain known flaws. Public code can enable review and faster fixes, but visibility alone is not a control. Maintain an inventory or SBOM of open-source components, pin and verify versions or signatures where possible, monitor vulnerability advisories, and apply updates through a controlled process.
The UK's open source AI safety evaluation platform, Inspect, is set to empower global collaboration for safer AI development
Experts at the RSA Conference discussed how governments, the open-source community and end users can work together to drastically improve the security of open-source software
Patch now: CVE-2023-49606 in the open source, small-footprint proxy server can potentially lead to remote code execution.
Does the open source ecosystem needs stricter security around contributors?