Today at the RSA Conference 2024, Mend.io and Sysdig unveiled a joint solution to helping developers, DevOps, and security teams accelerate secure software delivery from development to deployment. The new integration incorporates runtime context from Sysdig with Mend Container to provide users with superior, end-to-end, and risk-based vulnerability prioritization and remediation across development and production environments.

Building, pre-training, and fine-tuning an AI model is no small task and you’ll naturally want to protect your efforts from theft, denial of service attacks, malicious use, and other threats. In this blog we’ll go over the basics of keeping AI models safe from both legal issues and bad actors.

CVEs, or known and cataloged software vulnerabilities, dominate the discussion about open source software (OSS) risk. In 2016, 6,457 CVEs were reported. That number has grown every year since, reaching 28,961 CVEs reported in 2023—an increase of nearly 4.5 times in just seven years. 2024 is already on track to beat 2023, and we will likely see even faster growth once AI is earnestly set to the task of finding vulnerabilities (not to mention creating them).

When looking for sensitive information and other valuable assets, attackers rarely access their target directly. Instead, they find vulnerabilities in other components and use them to weave through the system and escalate privileges where they can. Because containers add a layer of complexity to already large and complex applications, the attack surface is increased, giving threat actors more to work with.

Just a few weeks ago, we wrote about how the National Vulnerability Database (NVD) is seriously behind in enriching CVEs. On LinkedIn, Mastodon, and other social sites, the NVD’s mounting backlog and what should be done about it has become a hot topic of conversation within the cybersecurity community.

Published in 2023, the OWASP Top 10 for LLM Applications is a monumental effort made possible by a large number of experts in the fields of AI, cybersecurity, cloud technology, and beyond. OWASP contributors came up with over 40 distinct threats and then voted and refined their list down to the ten most important vulnerabilities.

The risk both to and from AI models is a topic so hot it’s left the confines of security conferences and now dominates the headlines of major news sites. Indeed, the deluge of frightening hypotheticals can make AI feel like we are navigating an entirely new frontier with no compass. And to be sure, AI poses a lot of unique challenges to security, but remember: Both the media and AI companies have a vested interest in upping the fright hype to keep people talking.

*April 1 update. it was confirmed that Fedora 40 is not affected by the backdoor. However, users should still downgrade to a 5.4 build to be safe. On March 29th, 2024, a critical CVE was issued for the XZ-Utils library. This vulnerability allows an attacker to run arbitrary code remotely on affected systems. Due to its immediate impact and wide scope, the vulnerability has scored 10 for both CVSS 3.1 and CVSS 4, which is the highest score available.

Early on March 28, 2024, the Mend.io research team detected more than 100 malicious packages targeting the most popular machine learning (ML) libraries from the PyPi registry. Among those libraries are Pytorch, Matplotlib, and Selenium.