In today’s IoT ecosystem, the rise in cloud-based services and interconnected platforms means a need for APIs (Application Programming Interfaces). APIs enable seamless communication and data exchange between applications. It’s not surprising that 80% of the internet traffic today is through APIs. With this massive increase in API traffic, it is also not surprising that every year there is a significant increase in API attacks. With a lack of accurate and efficient security testing, it is becoming increasingly dangerous to release applications with production-level API security. However, integrating an intelligent and efficient API security testing solution is an essential step that all businesses need to undertake to identify and rectify vulnerabilities before deploying their APIs into production environments.
There are multiple types of API testing; API security testing (also known as API pen-testing) addresses security requirements necessary for successful APIs such as user access, authentication, injection vulnerabilities, business logic issues, and data encryption-related issues. It involves identifying potential API information leaks, weaknesses, and risks that could be exploited by hackers to compromise the security of the underlying systems, steal sensitive data, steal money, make fraudulent transactions, or launch much wider cyber attacks.
With proper API security testing, businesses can ensure that their APIs adhere to best practices and security standards, protecting the integrity, confidentiality, and availability of their data and resources, all before the APIs and applications get into production. This approach allows for companies to more confidently release production-level applications, rather than fear inadequate API security which is unrealized before an attack.
The rapid adoption of APIs has led to a corresponding rise in API security attacks. Cybercriminals target APIs as potential entry points for breaching enterprise systems, stealing sensitive data, and launching devastating attacks. With a growing increase in API traffic across all industries, such as financial institutions, retail, and automobile companies, no industry is safe from these attacks and the potential risk will continue to grow. The consequences of API security breaches can be severe, including reputational damage, financial losses, legal liabilities, and customer distrust. As APIs become increasingly complex and interconnected, the list of vulnerabilities that need to be assessed grows larger and more intricate.
APIs interact with various entities, including users, applications, and backend systems, making them susceptible to a wide range of vulnerabilities. These vulnerabilities can stem from inadequate authentication mechanisms, insufficient data validation, improper access controls, injection attacks, insecure data transmission, and many other factors. The dynamic nature of APIs, coupled with the numerous ways they can be accessed and manipulated, presents a considerable challenge for security testing.
Currently, manual API security testing is primarily conducted through pentesting by human testers, who actively probe the API for vulnerabilities. One of the significant challenges of this is its limited scalability. Performing manual pentesting on a large number of APIs is both time-consuming and resource-intensive, as it requires skilled testers to manually evaluate each API, which may not be feasible for enterprises with extensive API ecosystems. Testers also need sufficient time to thoroughly assess the API, identify potential weaknesses, and manually exploit them, which can be lengthy, hindering the overall development and deployment cycle. This delay in time to value can be a significant drawback, particularly in today’s fast-paced business environments, where agility and rapid release cycles are crucial.
To address the complexity and scale of API security testing, automation is vital. Manual assessment of API vulnerabilities can be time-consuming, error-prone, and practically impossible for larger enterprises with extensive API ecosystems.
1. Increased Efficiency: Automation allows enterprises to perform comprehensive security testing on APIs in just a fraction of the time required for manual testing. By leveraging modern automation tools, organizations can easily and efficiently scan APIs for vulnerabilities and potential threats. This enables developers to detect and address security weaknesses with ease before they make it to production servers.
2. Enhanced Accuracy: Manual testing is prone to human error, which can lead to missed vulnerabilities or false positives/negatives. Automated tools, on the other hand, follow predefined test scripts and algorithms, ensuring consistent and accurate results. By eliminating human biases and mistakes, these security assessments are more reliable.
3. Scalability and Flexibility: As businesses continue to expand their API ecosystems, scalability becomes crucial. With extensive API systems, manual testing of each and every aspect is simply not possible. Automation allows organizations to scale their API security testing efforts effortlessly. Automated tools can be easily integrated into the development pipeline and adapt to evolving APIs, ensuring consistent security testing across the entire ecosystem.
4. Comprehensive Test Coverage: Automated tools can assess a broad range of security vulnerabilities, including injection attacks, broken authentication, insecure data storage, insufficient logging, and more. With automated testing, organizations can perform comprehensive security assessments that cover various attack vectors and scenarios.
5. Faster Time-to-Market: Efficient API security testing through automation translates into shorter development cycles and faster time-to-market. By identifying and addressing vulnerabilities early in the development process and before production, enterprises can reduce the risk of security incidents occurring in production environments. This proactive approach boosts confidence in the security of the APIs and allows businesses to release their applications and services with peace of mind.
Here at Levo, we work to seamlessly embed security into developer workflow and CI/CD. With the help of machine learning models to observe anonymized API traffic, we automatically generate and run security tests at scale. You can even run them in CI/CD platforms if you prefer. These security tests surface vulnerabilities in your APIs and help developers resolve security issues faster before they are released into the production environment. To take control of your API sprawl and mitigate API risk, book a demo with Levo today!