The Wallarm API Discovery module has been further enhanced to enable customers to identify Orphan APIs and bring them under management. In this post we’ll discuss what Orphan APIs are, why they matter, and how to regain control of your API portfolio.
Welcome to the 5th post in our weekly series on the new 2023 OWASP API Security Top-10 list, with a particular focus on security practitioners. This post will focus on API4:2023 Unrestricted Resource Consumption. In this series we are taking an in-depth look at each category – the details, the impact and what you can do about it.
We recently hosted a compact and very engaging panel discussion about the new SEC Cyber Incident Reporting Rules due to come into effect later this year. We were fortunate to be joined by two well-known experts: In the post, we will *not* rehash what was said in the panel discussion. If you did not get to attend the live session, we invite you watch it on-demand – it’s 30 minutes well spent!
Creating a Software Bill of Materials (SBOM) is crucial to software supply chain security management. It helps fortify your software supply chain and reduces the likeliness of your software being exploited. But did you know there's a way to enhance your software's security further? Well, that's when API inventory comes into the picture. Including API inventory in your SBOM can make your software solution more resilient to cyberattacks.
Often security engineers find it difficult to scale secure code review processes either due to lack of funding, adoption to smaller sprint cycles or even security engineers failing to integrate security to agile philosophy. This post talks about various ways to address such challenges.
APIs, formally known as application programming interfaces, occupy a significant position in modern software development. They revolutionized how web applications work by facilitating applications, containers, and microservices to exchange data and information smoothly. Developers can link APIs with multiple software or other internal systems that help businesses to interact with their clients and make informed decisions.
The integration of machine learning into software development is revolutionizing the field, automating tasks and generating complex code snippets at an unprecedented scale. However, this powerful paradigm shift also presents significant challenges including the risk of introducing security flaws into the codebase. This issue is explored in depth in the paper Do Users Write More Insecure Code with AI Assistants? by Neil Perry, Megha Srivastava, Deepak Kumar, and Dan Boneh.
