Category: Application Performance Management/Monitoring

In today’s information economy, data is a primary raw material and a source of value to both providers and consumers. For many companies, entire business models are built on the exchange of information.

Consider a ride-sharing business that owns no vehicles of its own. What the company does possess, however, is a database of private vehicle owners who are willing drivers, a roster of people who will gladly pay for a ride and an application that can instantly connect a rider with a driver via an application programming interface (API). The ride-sharing company makes its money by taking a cut of the fare.

Another example is a company that collects and refines financial data and makes it available to investors who might want to buy stock. Companies such as E*TRADE, Merrill Lynch and Fidelity buy that investment data to make it available to their clients. APIs are at the heart of these important data exchanges.

How Prominent are APIs?

The information economy is synonymous with the API economy. APIs are increasingly the way business partners—internal and external—exchange and monetize data and services. APIs allow for machine-to-machine data retrieval, essentially removing barriers and accelerating access to data. There is hardly a modern application today that doesn’t provide an API to integrate with other applications and data sources. The typical mobile app today uses an average of 10 to 15 APIs to move meaningful data into and out of the app. Modern web apps called SPAs (single-page apps) do the same. APIs have proven to be so efficient and useful that many companies have begun creating new business ventures by mobilizing their data to third-party developers and the public.

DevOps teams heartily embrace APIs to advance their ability to produce applications much more quickly. APIs, however, are largely a mystery to security teams that must ensure that this means of rapid data exchange does not create unnecessary risk and negative exposure for the company or its brand. Enterprise security teams are right to question the vulnerabilities and threats posed by APIs. Insecure APIs have led to some very serious data breaches, some of which are outlined in the Dark Reading article, “Expect API Breaches to Accelerate.”

For example, the mobile payment app Venmo exposed sensitive details about hundreds of millions of transactions through a poorly secured API. In another case, an insecure Panera Bread API used by a mobile app exposed users’ private details through a searchable API that required no authentication to access. As a result, as many as 37 million records, which included customer personal information identifiers (PII) such as names, email addresses, physical addresses, birthdays and the last four digits of credit cards—all in plain text—were exposed. T-Mobile, McDonald’s, Symantec, Instagram and numerous other companies have suffered through significant data breaches traced back to insecure APIs. The damage is high because most APIs are designed to serve data without security in mind.

DevOps and security teams can agree that a data breach coming from their applications is completely untenable. Thus, designing and applying a security program that spans across all APIs across all applications is an essential function in protecting data and brand. Just exactly how can this be achieved? Let’s look at the steps of automating an API security program without needing to add additional security staff.

The Challenge of Securing APIs

The very nature of identifying all APIs makes it a challenge to secure them. A developer can create an API in a matter of minutes and publish it on the internet with almost no resistance when using public cloud services such as Amazon, Microsoft and Google. What’s more, she can make changes to that API as often as she wants, and every change cycle presents an opportunity to introduce new risk. It’s not unusual for a developer to change her API weekly or daily.

Let’s go back to that example of the financial services company that sells data to stock brokers. Suppose the developer makes a change to her API which unintentionally enables the brokers to see the client lists of every other broker that consumes data via the API. That would be a catastrophic breach, yet this is precisely the type of API breach suffered by the U.S. Postal Service a year ago.

APIs today increasingly are built on serverless infrastructures such as Amazon Lambda, Azure Functions or Google Cloud Functions. Traditional firewalls, gateways and agents can’t protect this type of API built on ephemeral infrastructure. Now consider that a large enterprise might develop and/or use hundreds or even thousands of APIs. The magnitude of the challenge to secure every API becomes apparent. Manual security oversight and enforcement are simply out of the question. Automation of security assessments done on a continuous basis is the only scalable approach.

Start With an API Security Framework

Every organization that creates or uses APIs needs an API security framework that consists of three steps:

1. Continuous API discovery and specification creation.
2. Continuous API specification analysis and inspection.
3. API policy enablement and enforcement.

Let’s have a look at each step and its impact.

Know What APIs Are in Use and What They Are Intended to Do

Gathering API specifications is an important first step in defining what APIs are intended to do. However, many APIs exist without any specification. A service that creates API specs helps to deal with those APIs void of documentation. However, this spec creation service also needs to continuously monitor and discover new APIs to remedy the problem of not knowing what APIs exist and their intended function. It’s common for a developer to document what her API is designed to do initially, but updating that documentation every time she makes a change to her API is rare. To compensate, the organization needs to have an automated tool that gathers this information and notes each time an API changes, then accordingly updates the API specification.

For example, consider an API that exists to transfer customer information between a company’s back-end server and a mobile application. The developer adds a feature or two and the API changes to support these new features, resulting in the API doing things it wasn’t originally expected to do. How would the organization know about these changes? There is a need to continuously analyze the API for such changes to understand the current state of specifications for what the API is doing.

The organization needs to create specifications of all the APIs, especially publicly facing APIs hosted in the cloud. This service needs to operate continuously to look for changes in the APIs constantly. There are tools that can automate these various activities, including discovering new APIs and changes to existing APIs. These tools also can uncover other cloud resources and data services related to these APIs; enumerate API domains, functions and associated methods; and generate a standards-based (Swagger, OpenAPI v3) spec if one does not exist.

Analyze the APIs for Security Threats

The next step is to perform a security inspection on each API operation every time it changes. The security team needs to know: Does it have the right data encryption? Is proper authentication in place? What type of authorization policy is being applied? What is the API’s level of availability? What kind of data sources does it access? Knowing each API’s current security posture is critical if the organization wants to avoid a data breach.

This API analysis needs to take place continuously and at scale since manual processes are ineffective for organizations using numerous APIs. Fortunately, there are tools and technologies that automate this process and perform tasks such as finding potential vulnerabilities within the authentication and encryption layers of the API. The tools also can generate security tasks with recommended changes for developers to remedy their respective API problems and alert security personnel when there are discrepancies between the API specification and its functional operations.

Create and Enforce Security Policies

No two companies have the same appetite for risk. If there’s one aspect of creating an API security program that requires a manual investment of time, it’s policy creation. Automation then can be used to enforce the policy. A security policy for APIs should start with two primary questions: Who should be able to utilize the API? And what level of sensitivity, regulatory oversight and/or privacy concerns does the API have? Based on the answers to those first two questions, you can form the basis for the security policy.

For example, a bank has an API that provides transaction statements for a specified account. That API has access to extremely sensitive and private information for each of its customers. One customer should never be allowed to access another customer’s account statements. Therefore, the authentication, authorization, encryption and availability of that API would be set to the most restrictive security standards available to ensure data exposure is tightly controlled. Another API from this same bank may provide the current interest rates of savings and money market accounts. This is data the bank likely would share with anyone potentially interested in opening an account with them. In this case, the level of security restriction would be lowered to support a wide variety of systems, browsers, SDKs and apps to ensure this information is highly available.

Historically, API policy enforcement for authentication, encryption and availability was often done at the network gateway layer. As applications have migrated to modern architectures such as mobile and cloud, the gateway approach has increasingly become less practical, less scalable and more restrictive. Application developers are often leveraging authentication, encryption and availability zones provided to them through SDKs and/or cloud services. In these cases, an automated service that integrates with these security services is a better approach for API policy enforcement versus traditional network gateways.

Automation is Key

Security teams are notoriously overworked and short-staffed. Worldwide, there’s a dire shortage of skilled security professionals available for hire, so adding additional security staff to build and execute the API security program isn’t a practical option. Bringing in consultants is expensive and can be budget-busting. Thus, automation through tools and technology is a sensible approach.

Automation provides the benefits of saving time and money when it comes to executing the three steps outlined above. What’s more, an automated program provides consistency in the repetitive tasks necessary to discover, document and analyze the APIs in use, and enforce corporate policies to control risk.

APIs are critically important to modern applications. DevOps people heartily embrace them, and security teams can learn their value as well once they understand how a robust and continuous API security program will benefit their organization.

— Doug Dooley