No longer are APIs hidden deep in the stack. They have become a key business enabler, if not the core of a business itself when it comes to API monetization. APIs are bound to have security flaws, like any other software component. If they aren’t thoroughly tested from a security standpoint, they expose you to unprecedented risks.
As API-based attacks increase and organizations fear for their assets, the industry is beginning to realize the importance of API security testing.
This eBook will walk you through what you need to know about API security testing.
We’ll explore the pros and cons of the common approaches, before looking at a new method that combines the best of both worlds to save you time and money while maturing towards a Full Lifecycle API Security approach.
Hackers are fully aware of the potential for APIs to open up vulnerabilities in your app.
Because of this, they have developed a variety of approaches to try and crack your app by hacking its API.
It’s important to remember that APIs are more than just connectors: they shift your application’s functionality, often in unpredictable ways.
Many organizations are already convinced of the value of shift-left security in general, ensuring that testing is performed continuously throughout development.
Waiting until production to discover API vulnerabilities can result in expensive delays on the road to production.
But API security testing often falls through the cracks or is undertaken without sufficient awareness of the real risks involved.
To ensure a comprehensive approach, we should first consider the most common approaches to application security testing today.
It’s quite common for developers and security teams to argue over which type of testing is most appropriate when it comes to APIs.
But the truth is that neither of these views is completely correct. In fact, both approaches are necessary for you to create broad coverage and handle a range of potential scenarios.
And with today’s rise in attacks on APIs, especially automated attacks of all kinds, this isn’t an area where you can afford to compromise when it comes to scope, depth, or frequency.
When it comes to API security testing, a ‘grey-box’ testing approach can provide a helpful alternative. Since there’s no user interface, having knowledge of the app’s internal workings (e.g., parameters, return types) can help you efficiently create functional tests.
Such grey-box testing for API security would involve creating a test engine that is adaptive and can learn as it goes, developing a deeper awareness of a program’s behavior in order to intelligently reverse-engineer its hidden inner workings.
A business logic approach to API security testing can elevate the maturity of your Full Lifecycle API Security program, and improve your security posture. However, this modern approach demands a tool that can learn as it goes, improving its performance over time by ingesting runtime data to gain insights into the application’s structure and logic.
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