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Linus Torvalds, the creator of Linux and Git, has his own law in software development, and it goes like this: " given enough eyeballs, all bugs are shallow ." This phrase puts the finger on the very principle of open source: the more, the merrier - if the code is easily available for anyone and everyone to fix bugs, it's pretty safe. But is it? Or is the saying "all bugs are shallow" only true for  shallow  bugs and not ones that lie deeper? It turns out that security flaws in open source can be harder to find than we thought. Emil Wåreus, Head of R&D at  Debricked , took it upon himself to look deeper into the community's performance. As the data scientist he is, he, of course, asked the data:  how good is the open source community at finding vulnerabilities in a timely manner ? The thrill of the (vulnerability) hunt Finding open source vulnerabilities is typically done by the maintainers of the open source project, users, auditors, or external secur

Today there are plenty of cybersecurity tools on the market. It is now more important than ever that the tools you decide to use work well together. If they don't, you will not get the complete picture, and you won't be able to analyze the entire system from a holistic perspective.  This means that you won't be able to do the right mitigations to improve your security posture. Here are examples of two tools that work very well together and how they will help you to get a holistic view of your cybersecurity posture.  Debricked - Use Open Source Securely How is Open Source a Security Risk?  Open source is not a security risk per se; it's more secure than proprietary software in many ways! With the code being publicly available, it's a lot easier for the surrounding community to identify vulnerabilities, and fixes can be done quickly. What you do need to keep in mind, though, is that any vulnerabilities in open source are publicly disclosed and the public to anyo

Ambitious Employees Tout New AI Tools, Ignore Serious SaaS Security Risks Like the  SaaS shadow IT  of the past, AI is placing CISOs and cybersecurity teams in a tough but familiar spot.  Employees are covertly using AI  with little regard for established IT and cybersecurity review procedures. Considering  ChatGPT's meteoric rise to 100 million users within 60 days of launch , especially with little sales and marketing fanfare, employee-driven demand for AI tools will only escalate.  As new studies show  some workers boost productivity by 40% using generative AI , the pressure for CISOs and their teams to fast-track AI adoption — and turn a blind eye to unsanctioned AI tool usage — is intensifying.  But succumbing to these pressures can introduce serious SaaS data leakage and breach risks, particularly as employees flock to AI tools developed by small businesses, solopreneurs, and indie developers. AI Security Guide Download AppOmni's CISO Guide to AI Security - Part 1 AI evoke