Common Risks Associated with APIs
If running an API can help your business grow, why are there so many risks?
Great outcomes come with great sacrifices, as the saying goes. To get to a point where your API makes a meaningful change in your business you have to take good care of it. Analyzing—and mitigating—the risks your API can have is one sure way to increase its chances of success. But what are those risks, and how do you mitigate them? Keep reading to know what my approach is.
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In one of my projects, I get to pick a group of APIs to make them publicly available. In doing so I work on things like use case analysis, how to position each API from a product standpoint, and also the risks associated with each exposure. I often find myself in situations where an API looks perfect for launching publicly, only to discover that it has risks that make the whole operation unsuitable.
You can group API risks into at least five categories: security, performance, operational, data integrity, and business. Each one of these categories has its implications and specific mitigation strategies. Let's look at each in more detail to understand what we're dealing with.
Security Risks
If there's one thing you can't be too careful about it's security. Of all the API risks one can think of, the ones related to security are those with probably the biggest impact. And the one on the top of the list has to do with unauthorized access. APIs can be vulnerable to unauthorized access, especially if they lack proper authentication and authorization mechanisms. Attackers could exploit weak points to gain access to sensitive data or functionality.
Gaining access to data becomes an even higher risk if you're dealing with delicate information. Improper handling of sensitive data, such as personally identifiable information (PII), can lead to data breaches. If your API doesn't encrypt data transmissions or store data securely you're particularly at risk.
Other less obvious security-related risks have to do with ways to penetrate backend systems, such as injection attacks. In this scenario, attackers input malicious code via SQL or command injection. Their goal is to manipulate and compromise backend systems.
But even if attackers can't penetrate your backend systems, they can make your API perform poorly or even stop working altogether. This type of attack is called a denial of service (DoS) and works by flooding your API with excessive requests, leading to degraded performance or complete unavailability. Speaking of performance, keep reading to see what are the associated risks.
Performance Risks
The first risk you can have related to performance has to do with scalability. If your API is not designed to scale properly, increased usage can lead to performance bottlenecks, slow response times, or outages. Those things lead to a decrease in consumer satisfaction which can lead to a higher amount of support requests and even churn.
The second risk has to do with the lack of rate limiting. If you don't implement ways to limit the rate of requests, a few consumers can easily overload your API impacting its performance for everyone. Another risk that can impact the performance for all consumers is the way your API consumes available resources. APIs that consume excessive server resources (CPU, memory, bandwidth) due to inefficient design or abuse can affect overall system performance.
Operational Risks
Things get more dramatic when they involve hard failures. One thing is getting slow, another is being down. Downtime and lack of reliability is a serious risk. If your API experiences frequent downtime, it can disrupt services that depend on it, leading to customer dissatisfaction and potential revenue loss.
And, one thing that can generate downtime is the behavior of third parties. If your API relies on third-party services or other APIs, their downtime or changes can affect the availability and functionality of your API. In a similar way if other APIs depend on yours you want to make sure that it keeps working reliably. Failure to properly manage API versioning can lead to compatibility issues, breaking changes, and a poor user experience for API consumers.
Data Integrity Risks
This is another area where it's better to play on the safe side. If your API can't properly deal with transactions or error states you can get to a point where information is inconsistent. Usually, an API has more than one backend so it's crucial that information about user state is kept in between requests. Failing to do so might create unpredictable behavior which can lead to data loss and other worse problems.
Business Risks
The biggest business-related risk an API can promote is certainly related to the ability to make money. If your API is a central piece of a monetized service or product, then it can have a direct impact on revenue if it's unreliable or insecure.
Mitigation Strategies
Now that you've seen a few of the risks associated with APIs, how can you mitigate them? Here's a short list of the things I usually care about whenever I'm running an API:
Implement strong authentication and authorization mechanisms.
Use encryption for data in transit and at rest.
Regularly conduct security audits and penetration testing.
Enforce rate limiting and quotas.
Ensure robust logging, monitoring, and alerting systems.
Keep API documentation and versioning up to date.
Establish clear terms of service and usage policies.
By addressing these risks proactively, you can better protect your API and the systems that depend on it.
almost all of these risks stem from the fact that so few people are trained on the request/response call flow. I once had a a program manager from KONG (now at Postman) say the 'front controller' pattern was specific to JAVA simply because he had no clue what handled the request/response handoff from the web server to the application (https://flic.kr/p/2ovxHUw).
And people do nopt understand the difference between call flow of single threaded api application patterns (REACTOR) vs multithreaded(PROACTOR) and how they vary.
The vast majority of people only understand API's from a FRONTEND/UI/UX perspective and have a limited understanding of HTTP protocol.