Does Securing APIs through Machine Learning Make Sense? API Security and Machine Learning The increasing number of API breaches paints a grim picture of how security of the developed APIs is evolving. Two recent incidents provide evidence. First, Uber was reportedly breached in 2019 where the attacker could simply use the victim’s phone number or …
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API Security Checklist: Cheatsheet Over the last few weeks we presented a series of blogs [1][2][3] outlining 15 best practices for strengthening API security at the design stage. Here are three cheat sheets that break down the 15 best practices for quick reference: As APIs become the fabric for applications, the cyber security threats exploiting …
API Security Checklist: Part 3 This is the final blog in the series outlining 15 best practices for strengthening API security with a shift-left approach. If you haven’t had a chance to read the API Security Checklist: Secure API Design (first) and API Security Checklist: Part 2 (second) article in this series, now is a …
API Security Checklist: Part 2 We continue the journey on understanding the best practices applicable towards secure application development, enforced through an API specification. In the first article in this 3-part series, we learned about five best practices specific to how the security field as well as arrays should be managed in an API request …
API Security Checklist: Secure API Design Adopting a Shift-left Approach Securing API Endpoints is critical for securing applications. This requires security products to monitor a diverse and comprehensive set of components supporting the application. Some security products evaluate the behavior of application traffic, some focus on the post-development application code, and others look to embed …
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