API Security Checklist: 10 Steps to a Secure API

Why Should You Take a Structured Approach to API Security?

Taking a structured approach to API security, including the use of security checklists and frameworks, has several important benefits:

• Systematic: Helps systematically address and mitigate the myriad of security risks associated with APIs. By following a comprehensive checklist, developers and security teams can ensure that they have not overlooked any critical security measures during the API development and deployment process. 
• Proactive: Reduces the likelihood of vulnerabilities being exploited and can significantly minimize the potential impact of security breaches.
• Improves communication: By using an API security checklist or framework, you can ensure that all stakeholders in the organization agree on the minimum requirements for securing an API, and make it easier to ensure proper security measures are taken.
• Supports compliance: API security checklists facilitate compliance with regulatory requirements and industry standards. Many regulations, such as GDPR, HIPAA, and PCI-DSS, have specific cybersecurity requirements. An API security checklist can guide organizations in implementing the necessary compliance controls.

10-Step API Security Checklist

This checklist contains some of the most important tasks and security measures you should consider when securing APIs. Of course, this is not an exhaustive list, and you should add items specific to your environment.

1. Document and Catalog Your APIs

Documenting and cataloging APIs is a crucial step in maintaining control over your API ecosystem. 

Comprehensive documentation helps developers understand how to use APIs securely and correctly, including details on authentication, authorization, rate limiting, and data handling practices. A well-maintained API catalog provides visibility into all APIs in use, including third-party and internal APIs, allowing organizations to manage and secure their API landscape effectively. Automated API discovery tools can help identify unknown and shadow APIs, which can represent a significant security risk.

By documenting and cataloging APIs, organizations can ensure that developers and security teams have the information they need to implement and maintain secure integrations. This practice supports consistent security policies across all APIs, reduces the risk of security gaps, and facilitates compliance with data protection regulations.

‍

2. Use API Keys or Multi-Factor Authentication (MFA)

Utilizing API keys or MFA instead of password-based authentication methods provides an additional layer of security for APIs. API keys act as unique identifiers, ensuring that only authorized users or services can access the API, significantly reducing the risk of unauthorized access. Implementing MFA, where a user must provide at least two different authentication factors to verify themselves, further enhances security by making it more challenging for attackers to gain access even if one factor is compromised.

‍

API keys and 2FA protect APIs against brute force attacks, phishing, and other social engineering attacks. By requiring a unique API key or a second form of verification, organizations can better protect their APIs from unauthorized access, ensuring that sensitive data remains secure and that API services are available only to legitimate users.

3. Enforce Transport Layer Security

Enforcing Transport Layer Security (TLS) is critical for securing API communications. TLS encrypts the data transmitted between the client and the API, preventing eavesdropping, tampering, and message forgery by attackers. Organizations should ensure that their APIs use the latest TLS version and configurations to maximize security and avoid known vulnerabilities.

‍

Encryption ensures that sensitive information, such as personal data or authentication credentials, is protected during transit over the internet. Implementing TLS is a fundamental security measure for APIs, as it mitigates the risk of data breaches and maintains the confidentiality and integrity of data exchanges. The use of TLS also supports compliance with various data protection regulations and standards, which often require encryption of data in transit. 

4. Use JSON Web Tokens (JWTs) Properly

JWTs are a popular method for securely transmitting information between parties as a JSON object. They are commonly used for authentication and information exchange in APIs. Proper use of JWTs involves ensuring that tokens are generated, transmitted, and stored securely, using strong encryption algorithms and keeping the token's lifetime short to minimize the window of opportunity for interception and misuse.

‍

Implementing best practices for JWT security, such as using HTTPS for token transmission, validating tokens rigorously on the server-side, and avoiding storing sensitive information in the token payload, is crucial. Proper handling of JWTs enhances API security by ensuring that only authenticated and authorized users can access API resources.

5. Perform Input Validation and Output Encoding

Input validation and output encoding are vital security measures to protect APIs from various injection attacks, such as SQL injection, cross-site scripting (XSS), and command injection. Input validation involves verifying that all incoming data to the API is valid, correctly formatted, and secure before processing. This process helps to ensure that malicious input cannot exploit vulnerabilities in the API or the backend systems it interacts with.

Output encoding ensures that data sent from the API is safely rendered by the client, preventing malicious content from executing unintended actions in the client's context. Together, input validation and output encoding form a robust defense against injection and other input-based attacks.

Learn more in our detailed guide to api security best practices

Tzvika Shneider

CEO, Pynt

Tzvika Shneider is a 20-year software Security industry leader with a robust background in product and software management.

Tips from the expert

• Incorporate API security testing into CI/CD pipelines: Automate security testing tools within CI/CD pipelines to detect and fix vulnerabilities early, reducing the risk of deploying insecure APIs.
• Adopt container security best practices: Secure the environments hosting your APIs by hardening container configurations and continuously scanning for vulnerabilities in container images.
• Monitor API usage patterns for anomalies: Set up monitoring to detect unusual API usage patterns, such as spikes in traffic or unexpected IP addresses, which could indicate an ongoing attack.
• Isolate API environments: Run APIs in isolated environments or separate microservices to limit the impact of a breach and enhance security through segmentation.
• Regularly update API documentation: Ensure API documentation is regularly reviewed and updated to reflect the current state of APIs, helping to avoid security risks from outdated practices.

6. Implement API Rate Limiting

Implementing API rate limiting is a crucial security control that protects APIs from abuse and denial-of-service (DoS) attacks. Rate limiting restricts the number of requests a user or IP address can make to an API within a given timeframe, preventing excessive use of resources and ensuring that the API remains available for all users. By setting sensible limits on API usage, organizations can prevent attackers from overwhelming the API with high volumes of requests, which could lead to service degradation or outages.

‍

Rate limiting also helps in managing API traffic more effectively, allowing organizations to identify and block malicious actors while ensuring legitimate users have access to the API services they need. Implementing rate limiting requires careful consideration of the API's usage patterns and resource capacities to establish appropriate limits that balance security with usability.

7. Prevent Excessive Data Exposure

Excessive data exposure is the risk of APIs inadvertently revealing more information than necessary in their responses. Developers must carefully design API responses to include only the data that is explicitly required by the client, minimizing the risk of sensitive information being exposed to unauthorized users or attackers. This principle of data minimization is crucial in protecting user privacy and securing sensitive data against breaches.

‍

To mitigate excessive data exposure, organizations should implement strong data filtering mechanisms on the server-side and regularly review API responses to ensure that only necessary data is included. Adopting an allowlist approach, where only approved data fields are returned in API responses, can further enhance security by preventing unintended data exposure.

8. Conduct Regular API Vulnerability Scans

Conducting regular API vulnerability scans is an essential practice for identifying and addressing security weaknesses before they can be exploited. Automated scanning tools can detect a wide range of vulnerabilities, such as misconfigurations, unpatched software, and insecure coding practices, providing valuable insights into the security posture of an API. These scans should be integrated into the development and deployment processes to ensure continuous security assessment.

‍

Regular vulnerability scanning enables organizations to stay ahead of potential threats by proactively identifying and remediating vulnerabilities. It is a critical component of a comprehensive API security strategy, helping to maintain the integrity, availability, and confidentiality of API services.

Related content: Read our guide to API scanning

9. Carry out API Penetration Testing

Carrying out API penetration testing involves simulating cyber attacks against an API to identify vulnerabilities that could be exploited by attackers. Unlike automated scans, penetration testing is typically performed manually by security experts who employ creative tactics to uncover deeper security issues, such as business logic vulnerabilities or complex authentication flaws. 

‍

Penetration testing should be conducted regularly and after significant changes to the API or its environment. It complements automated vulnerability scanning by uncovering issues that require human insight to detect, offering a comprehensive assessment of the API's security. The findings from penetration testing guide targeted improvements, enhancing the overall security of the API.

10. Implement Zero Trust Security

Implementing zero trust security principles in API architecture involves assuming that no user or system is trustworthy by default, regardless of their location inside or outside the network perimeter. This approach requires verifying the identity and authorization of users and systems for each transaction, minimizing the risk of unauthorized access and lateral movement within networks. Zero-trust security relies on strong authentication, least privilege access controls, and continuous monitoring of API interactions.

‍

Adopting a zero-trust model enhances API security by ensuring that access is granted based on explicit verification, rather than assumed trust. This reduces the attack surface and helps protect sensitive data and services from unauthorized access, even if other security controls are bypassed.

‍

Related content: Read our guide to API security best practices

Shift-Left API Security with Pynt

Pynt's approach to API security emphasizes a 'shift-left' methodology to API Security, focusing on early discovery and resolution of vulnerabilities. Implementing security automation and a proactive stance in the software development life cycle allows for:

• Early Detection: Testing Applications for API vulnerabilities as early as possible in the development process, by performing attacks in real-time, thereby reducing potential security risks.
• Leverages functional tests to detect complex business logic scenarios, providing targeted security insights.
• Seamless Integration: Facilitating easy integration with existing development tools and pipelines, enhancing developer productivity without compromising on security.
• Comprehensive API Discovery: Automated discovery of APIs, ensuring complete visibility from development to production, crucial for identifying shadow APIs and other hidden risks.

‍

These aspects collectively enhance the overall security posture by addressing API vulnerabilities at their inception, rather than as an afterthought.

‍