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How to Secure an API: Methods and Best Practices

How to Secure an API: Methods and Best Practices
Hostman Team
Technical writer
API Network
22.08.2025
Reading time: 14 min

APIs are the bridges between programs in the modern internet. When you order a taxi, the app communicates with the server via an API. When you buy something online, the payment system checks your card through a banking API. These invisible connections handle billions of operations every day.

However, an unsecured API is an open gateway for attackers. Real statistics show the scale of the problem: 99% of organizations reported at least one API-related incident in the past year. The total number of API attacks in Q3 2024 exceeded 271 million, which is 85% more than attacks on regular websites. Most companies provide unrestricted access to half of their APIs, often without realizing it.

The good news is that 90% of attacks can be blocked with simple security measures. Most attackers rely on the assumption that the API is completely unprotected. Basic security strategies filter out attackers.

From this guide, you will get five practical steps to secure an API that can be implemented within a week. No complex theory—only what really works in production. After reading, you will have a secure API capable of withstanding most attacks.

Step One: Authentication

Authentication answers a simple question: “Who is this?” Imagine an API as an office building with a security guard at the entrance. Without checking IDs, anyone can enter: employees, couriers, or thieves.

Similarly, an API without authentication is available to anyone on the internet. Anyone can send a request and access your data.

Why authentication is important:

  • Protect confidential data: Your API likely handles information that should not be publicly accessible: user profiles, purchase history, medical records. Without authentication, this data becomes public.

  • Track request sources: When something goes wrong, you need to know where the problem originated. Authentication ties each request to a specific client, making incident investigation and blocking attackers easier.

API Keys — Simple and Reliable

An API key works like an office pass. Each application is issued a unique card that must be presented for each entry.

How it works:

  1. The server generates a random string of 32–64 characters.
  2. The key is issued to the client application once.
  3. The application sends the key with every request.
  4. The server verifies the key in the database.

Pros:

  • Easy to implement in a few hours
  • Simple to block a specific key
  • Good for internal integrations

Cons:

  • Database load for each verification
  • Difficult to manage with thousands of clients
  • Risk of key leakage from client code

JWT Tokens — Modern Standard

JWT (JSON Web Token) is like a passport with built-in protection against forgery. The token contains user information and does not require constant server verification.

Token structure:

  • Header — encryption algorithm
  • Payload — user ID, role, permissions
  • Signature — prevents tampering

When to use:

  • Microservices architecture
  • High-load systems
  • Mobile applications

Pros:

  • High performance—no database queries needed
  • Token contains all necessary information
  • Supported by all modern frameworks

Cons:

  • Difficult to revoke before expiration
  • Compromise of the secret key is critical
  • Token can become large if overloaded with data

OAuth 2.0 — For External Integrations

OAuth 2.0 solves the problem of secure access to someone else’s data without sharing passwords. It is like a power of attorney—you allow an application to act on your behalf within limited scopes.

Participants:

  • User — data owner
  • Application — requests access
  • Authorization server — verifies and issues permissions
  • API — provides data according to the token

Typical scenarios:

  • “Sign in with Google” in mobile apps
  • Posting to social media on behalf of a user
  • Banking apps accessing account data

How to Choose the Right Method

Let’s look at the characteristics of each method:

Criterion

API Keys

JWT Tokens

OAuth 2.0

Complexity

Low

Medium

High

Setup Time

2 hours

8 hours

2 days

For MVP

Ideal

Possible

Overkill

Number of Clients

Up to 100

Thousands

Any number

External Integrations

Limited

Poor

Ideal

Stage Recommendations:

  • Prototype (0–1,000 users): Start with API keys. They protect against accidental access and give time to understand usage patterns.
  • Growth (1,000–100,000 users): Move to JWT tokens. They reduce database load and provide more flexibility.
  • Scale (100,000+ users): Add OAuth 2.0 for integrations with major platforms.

Start with API keys, even if you plan something more complex. A working simple security system is better than a planned perfect one. Transition to other methods gradually without breaking existing integrations.

Remember: An API without authentication is a critical vulnerability that must be addressed first.

Step Two: Authorization

Authentication shows who the user is. Now you need to decide what they are allowed to do. Authorization is like an office access system: everyone has an entry card, but only IT can enter the server room, and accountants can access the document archive.

Without proper authorization, authentication is meaningless. An attacker may gain legitimate access to the API but view other people’s data or perform prohibited operations.

Role System

Three basic roles for any API:

Admin

  • Full access to all functions
  • User and settings management
  • View system analytics and logs
  • Critical operations: delete data, change configuration

User

  • Work only with own data
  • Create and edit personal content
  • Standard operations: profile, orders, files
  • Access to publicly available information

Guest

  • View public information only
  • Product catalogs, news, reference data
  • No editing or creation operations
  • Limited functionality without registration

Grant users only the permissions critical for their tasks. When in doubt, deny. Adding permissions is easier than fixing abuse consequences.

Additional roles as the system grows:

  • Moderator — manage user content
  • Manager — access analytics and reports
  • Support — view user data for issue resolution
  • Partner — limited access for external integrations

Data Access Control

It’s not enough to check the user’s role. You must ensure they can work only with the data they are allowed to. A user with the “User” role should edit only their posts, orders, and profile.

Example access rules:

  • Users can edit only their profile
  • Orders are visible to the buyer, manager, and admin
  • Financial reports are accessible only to management and accounting
  • System logs are viewable only by administrators

Access Rights Matrix:

Resource

Guest

User

Moderator

Admin

Public Content

Read

Read

Read + Moderation

Full Access

Own Profile

-

Read + Write

-

Full Access

Other Profiles

-

-

Read

Full Access

System Settings

-

-

-

Full Access

Critical operations require additional checks, even for admins:

  • User deletion — confirmation via email
  • Changing system settings — two-factor authentication
  • Bulk operations — additional password or token
  • Access to financial data — separate permissions and audit

Common Authorization Mistakes

  • Checking only on the frontend: JavaScript can be bypassed or modified. Attackers can send requests directly to the API, bypassing the interface. Always check permissions on the server.
  • Overly broad access rights: “All users can edit all data” is a common early mistake. As the system grows, this leads to accidental changes and abuse. Start with strict restrictions.
  • Forgotten test accounts: Test accounts often remain in production with elevated permissions. Regularly audit users and remove inactive accounts.
  • Lack of change auditing: Who changed what and when in critical data? Without logging admin actions, incident investigation is impossible.
  • Checking authorization only once: User permissions can change during a session. Employee dismissal, account blocking, or role changes should immediately reflect in API access.
  • Mixing authentication and authorization: “If the user is logged in, they can do everything” is a dangerous logic. Authentication and authorization are separate steps; each can result in denial.

Proper authorization balances security and usability. Too strict rules frustrate users; too lax rules create security holes. Start with simple roles, increase complexity as needed, but never skip permission checks.

Step Three: HTTPS and Encryption

Imagine sending an important letter through the mail. HTTP is like an open postcard that any mail carrier can read. HTTPS is a sealed envelope with a personal stamp that only the recipient can open.

All data between the client and the API travels through dozens of intermediate servers on the internet. Without encryption, any of these servers can eavesdrop and steal confidential information.

Why HTTP is Unsafe

What an attacker can see when intercepting HTTP traffic:

  • API keys and access tokens in plain text
  • User passwords during login
  • Credit card numbers and payment information
  • Personal information: addresses, phone numbers, medical records
  • Contents of messages and documents

19% of all successful cyberattacks are man-in-the-middle attacks, a significant portion of which involve open networks (usually HTTP) or incorrect encryption configuration.

Public Wi-Fi networks, corporate networks with careless administrators, ISPs in countries with strict censorship, and rogue access points with names like “Free WiFi” are particularly vulnerable.

Setting Up HTTPS

Obtaining SSL Certificates

An SSL certificate is a digital document that verifies the authenticity of your server. Without it, browsers display a warning about an insecure connection.

Free options:

  • Let’s Encrypt — issues certificates for 90 days with automatic renewal
  • Cloudflare — free SSL for websites using their CDN
  • Hosting providers — many include SSL in basic plans

Paid SSL certificates are used where a particularly high level of trust is required, for example for large companies, financial and medical organizations, or when an Extended Validation (EV) certificate is needed to confirm the legal identity of the site owner.

Enforcing HTTP to HTTPS Redirection

Simply enabling HTTPS is not enough—you must prevent the use of HTTP. Configure automatic redirection of all requests to the secure version.

Check configuration:

  • Open your API in a browser. It should show a green padlock.
  • Try the HTTP version. It should automatically redirect to HTTPS.
  • Use SSL Labs test to verify configuration.

Security Headers (HSTS)

HTTP Strict Transport Security forces browsers to use HTTPS only for your domain. Add the header to all API responses:

Strict-Transport-Security: max-age=31536000; includeSubDomains

This means: “For the next year, communicate with us only via HTTPS, including all subdomains.”

Additional Encryption

HTTPS protects data in transit, but in the database it is stored in plain text. Critical information requires additional encryption.

Must encrypt:

  • User passwords — use bcrypt, not MD5
  • API keys — store hashes, not raw value
  • Credit card numbers — if processing payments
  • Medical data — per HIPAA or equivalent regulations

Recommended encryption:

  • Personal data: phone numbers, addresses, birth dates
  • Confidential user documents
  • Internal tokens and application secrets
  • Critical system settings

The hardest part of encryption is secure key storage. Encryption keys must not be stored alongside encrypted data. Rotate encryption keys periodically. If a key is compromised, all data encrypted with it becomes vulnerable.

HTTPS is the minimum requirement for any API in 2025. Users do not trust unencrypted connections, search engines rank them lower, and laws in many countries explicitly require encryption of personal data.

Step Four: Data Validation

Users can send anything to your API: abc instead of a number, a script with malicious code instead of an email, or a 5 GB file instead of an avatar. Validation is quality control at the system’s entry point.

Golden rule: Never trust incoming data. Even if the data comes from your own application, it may have been altered in transit or generated by a malicious program.

Three Validation Rules

Rule 1: Check Data Types

Age must be a number, not a string. Email must be text, not an array. Dates must be in the correct format, not random characters.

Rule 2: Limit Field Length

Unlimited fields cause numerous problems. Attackers can overload the server with huge strings or fill the entire database with a single request.

Rule 3: Validate Data Format

Even if the data type is correct, the content may be invalid. An email without @ is not valid, and a phone number with letters cannot be called.

Injection Protection

SQL injection is one of the most dangerous attacks. An attacker inserts SQL commands into normal form fields. If your code directly inserts user input into SQL queries, the attacker can take control of the database.

Example: A search field for users. A legitimate user enters “John,” but an attacker enters: '; DROP TABLE users; --.

If the code directly inserts this into a query:

SELECT * FROM users WHERE name = ''; DROP TABLE users; --

Result: the users table is deleted.

Safe approach:

  • Queries and data are sent separately.
  • The database automatically escapes special characters.
  • Malicious code becomes harmless text.

File Validation

  • Size limits: One large file can fill the server disk. Set reasonable limits for each operation.
  • File type checking: Users may upload executable files with viruses or scripts. Allow only safe formats.
  • Check more than the extension: Attackers can rename virus.exe to photo.jpg. Check the actual file type by content, not just by name.
  • Quarantine files: Store uploaded files in separate storage with no execution rights. Scan with an antivirus before making them available to others.

Data validation is your first line of defense against most attacks. Spending time on thorough input validation prevents 70% of security issues. Remember: it’s better to reject a legitimate request than to allow a malicious one.

Step Five: Rate Limiting

Rate Limiting is a system to control the request speed to your API. Like a subway turnstile letting people through one at a time, the rate limiter controls the flow of requests from each client.

Without limits, a single user could overwhelm your server with thousands of requests per second, making the API unavailable to others. This is especially critical in the age of automated attacks and bots.

Why Limit Request Rates

  • DDoS protection: Distributed denial-of-service attacks occur when thousands of computers bombard your server simultaneously. Rate Limiting automatically blocks sources with abnormally high traffic.
  • Prevent abuse: Not all attacks are malicious. A developer may accidentally run a script in an infinite loop. A buggy mobile app may send requests every millisecond. Rate Limiting protects against these incidents.
  • Fair resource distribution: One user should not monopolize the API to the detriment of others. Limits ensure all clients have equal access.
  • Cost control: Each request consumes CPU, memory, and database resources. Rate Limiting helps forecast load and plan capacity.

Defining Limits

Not all requests place the same load on the server. Simple reads are fast; report generation may take minutes.

Light operations (100–1,000 requests/hour):

  • Fetch user profile
  • List items in catalog
  • Check order status
  • Ping and healthcheck endpoints

Medium operations (10–100 requests/hour):

  • Create a new post or comment
  • Upload images
  • Send notifications
  • Search the database

Heavy operations (1–10 requests/hour):

  • Generate complex reports
  • Bulk export of data
  • External API calls

Limits may vary depending on circumstances: more requests during daytime, fewer at night; weekends may have different limits; during overload, limits may temporarily decrease, etc.

When a user reaches the limit, they must understand what is happening and what to do next.

Good API response when limit is exceeded:

HTTP Status: 429 Too Many Requests

{
  "error": "rate_limit_exceeded",
  "message": "Request limit exceeded. Please try again in 60 seconds.",
  "current_limit": 1000,
  "requests_made": 1000,
  "reset_time": "2025-07-27T22:15:00Z",
  "retry_after": 60
}

Bad response:

HTTP Status: 500 Internal Server Error

{
  "error": "Something went wrong"
}

Rate Limiting is not an obstacle for users but a protection of service quality. Properly configured limits are invisible to honest clients but effectively block abuse. Start with conservative limits and adjust based on actual usage statistics.

Conclusion

Securing an API is not a one-time task at launch but a continuous process that evolves with your project. Cyber threats evolve daily, but basic security strategies remain unchanged. 80% of attacks can be blocked with 20% of effort. These 20% are the basic measures from this guide: HTTPS, authentication, data validation, and rate limiting. Do not chase perfect protection until you have implemented the fundamentals.

API Network
22.08.2025
Reading time: 14 min

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By using HTTP methods, we can define another set of self-descriptive states: GET /object/ — returns a list of objects GET /object/id — returns an object with the specified ID or 404 POST /object/ — creates a new object or returns an error (most often an error with code 400 or another) PUT /object/id — edits an object with the specified ID or returns errors DELETE /object/id — deletes an object with the specified ID or returns errors Some servers ignore the semantics of the PUT and DELETE methods; in this case, the POST /object/id method is used with a request body (object data) for editing or the same POST request with an empty body for deleting an object. Thus, instead of the variety of choices that REST provides us, we get a minimal set of operations on data. So, where is the advantage here? As mentioned above, REST is an architectural solution, not a technology. This means that REST does not impose any special requirements on participants in such a network, as is the case with gRPC, CORBA, or SOAP. It is only necessary to maintain the semantics of a self-defining state and a unified data transmission protocol. As a result, REST networks can combine the incompatible—a powerful cluster with load balancers, databases, and a simple "smart" light bulb with a microcontroller that is controlled via REST. Thus, REST is an extremely flexible architecture with virtually zero costs to ensure interoperability. However, to guarantee such an impressive result, REST introduces a number of restrictions (which is why this solution is also called architectural constraints). Let’s briefly list each of them: Client-server architecture. The architecture of REST networks must be based on the client-server model. Separating the client's interface needs from the server's needs improves the portability of client interface code, while simplifying the server part enhances scalability. Statelessness. The server should not store any special information about the client between calls. Traditional WEB sessions are not acceptable here. The server must receive all necessary information about the client's state from the request. Caching. The results of the server's response can be cached. This helps improve system performance. The server must ensure that the client receives up-to-date information if caching is applied. Uniform interface. This concerns the unified way of writing object URLs, which has already been discussed, and the semantics of HTTP methods. It also implies that the transport data format is one that is identically interpreted by both the server and the client. Typically, this is JSON, but there can be combined options when JSON and CBOR are used (the data type is described in the Content-Type header). Scalability and layers. The client should make no assumptions about how the server is structured. This allows for flexible system scalability, the use of caches, load balancers, and much more. By following the above constraints, we can build highly efficient systems, which is confirmed by our modern experience with distributed systems and web services. One of the most popular patterns implemented using REST is CRUD. This acronym is formed from the first letters of the operations Create, Read, Update, and Delete—the four basic operations sufficient for working with any data entity. More complex operations, known as use cases, can utilize CRUD REST API to access data entities. Use cases can also follow the prescriptions and constraints of REST; in this case, we call our information system RESTful. In such a system, REST conventions are used everywhere, and any expansion of the system also follows these conventions. This is a very pragmatic yet highly flexible approach: a unified architecture reduces system complexity, and as system complexity decreases, the percentage of errors also goes down. The concept of REST API is so popular that it exists in almost every programming language ecosystem. REST is built into Django and Laravel. In Go, you can use the Gin Gonic package or build your own RESTful system using only standard library packages. For Erlang, the erf library can be used, while in Elixir, REST API is already integrated into the Phoenix framework. REST, as an architecture, does not impose any restrictions on programming environments, frameworks, or anything else—it simply declares to services: "Just speak REST, and everything will work out fine." Let’s try to answer the question we posed at the very beginning. As you may have realized from this rather extensive article, each approach has its clear advantages and very specific disadvantages. In this matter, the best option is a golden mean. For critical services that process huge amounts of data, stability is the top priority—both in code, where data definition errors are simply unacceptable and in infrastructure, where faster system response time is always better. For such areas, the concept of RPC in its modern implementation—gRPC—is undoubtedly more convenient. However, where business logic and complex multi-level interactions reside, REST becomes the preferable choice with its rigid and limited means of expression. The best strategy is to apply both approaches wisely and flexibly, allowing your information system to benefit from each concept's strengths (or architectural solution). When discussing pure RPC and REST, we have deliberately abstracted from infrastructure, programming languages, machines, memory, processors, and other technical details. However, in real-world business, these aspects are equally important. Most often, REST API and RPC API are deployed either in containers (Docker, Podman, and similar technologies) or on so-called VPS (Virtual Private Servers). Less frequently, they run on dedicated or rented hardware. Infrastructure-as-a-Service (IaaS) is a convenient and relatively inexpensive way to manage projects. Hostman’s networking services provide an ideal solution for this. Here, you can precisely calculate the expected load and plan your expenses accordingly. The VPC (Virtual Private Cloud) from Hostman allows containers and VPS to be interconnected while ensuring that all traffic within this network remains completely isolated from the Internet. An ideal solution for RPC, REST, or…? The decision is, of course, yours to make. 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01 April 2025 · 15 min to read
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What is an API?

In the modern digital era, APIs (Application Programming Interfaces) are pivotal to the development and integration of software applications. They enable seamless interaction between different systems, allowing for enhanced functionality and improved user experiences. This article aims to provide a comprehensive overview of APIs, covering their definition, types, and the various roles they play in today's technology landscape. Definition of API An API, or Application Programming Interface, is a set of protocols, tools, and definitions that allow different software applications to communicate with each other. APIs serve as intermediaries that enable developers to access specific functionalities or data from another service, simplifying the process of integrating new features into existing systems without needing to understand the underlying code. Types of API APIs come in several types, each tailored for specific purposes: Open APIs: Also known as public APIs, these are available to external developers and users with minimal restrictions. They are designed to be widely accessible and encourage external innovation and application development. Partner APIs: These APIs are shared with specific partners or developers under controlled conditions. They are used for business-to-business interactions and typically come with specific rights and access permissions. Internal APIs: Also referred to as private APIs, these are used within an organization to streamline internal processes and systems. They are not exposed to external users and are intended for internal development and integration. Composite APIs: These combine multiple APIs into a single call. They are useful when an application needs to interact with several sources or services, thereby reducing the number of server requests and improving performance. What are REST APIs REST (Representational State Transfer) APIs are a type of web API that adheres to the principles of REST architecture. RESTful APIs use standard HTTP requests to perform operations like Create, Read, Update, and Delete (CRUD). They are stateless, meaning each request from a client to the server must contain all the information necessary to process the request. REST APIs are favored for their simplicity, scalability, and flexibility. What is a Web API? A web API is an API that can be accessed over the web using the HTTP protocol. It allows different applications or services to interact with web-based systems. Web APIs enable the integration of web services, facilitating functionalities such as database access, third-party service interaction, and resource retrieval over the internet. They are essential for building web applications that require real-time data interaction and seamless user experiences. What are API Integrations? API integrations involve connecting different software systems or applications through their APIs, enabling them to work together. This integration facilitates the sharing of data and functionalities between diverse systems, enhancing the overall capabilities and efficiency of the combined applications. API integrations are crucial for automating workflows, improving data accuracy, and providing seamless user experiences across multiple platforms. How APIs Work APIs function by receiving requests from a client application, processing these requests through a server, and returning the appropriate responses to the client. The client initiates an API call by making a request using specific endpoints defined in the API documentation. The server processes the request, performs the necessary operations, and sends back a response, usually in a structured format like JSON or XML. This interaction allows applications to exchange data and perform operations without needing to understand each other's internal workings. An API key is usually used for secure communications. Common Uses of APIs APIs are utilized in various applications and industries, including: Social Media Integration: APIs enable applications to integrate social media features, such as content sharing or retrieving user data. Payment Gateways: APIs facilitate secure online transactions by connecting e-commerce platforms with payment endpoints. Third-party Authentication: APIs support authentication processes using services like OAuth, allowing users to log in to applications using existing credentials from platforms like Google or Facebook. Data Access: APIs provide access to data from different services, such as weather information, stock market data, or geolocation services. Benefits of Using APIs APIs offer numerous benefits, including: Efficiency: APIs allow developers to access functionalities without building them from scratch, saving time and resources. Scalability: APIs enable systems to scale by adding new features and integrations without overhauling the entire system. Interoperability: APIs facilitate communication between different systems, enhancing collaboration and data sharing. Innovation: APIs foster innovation by allowing developers to build on existing technologies and create new applications and services. Challenges and Limitations Despite their advantages, APIs come with certain challenges and limitations: Security Risks: APIs can expose vulnerabilities if not properly secured, leading to potential data breaches, that’s why a thorough API testing is crucial to avoid such vulnerabilities.   Compatibility Issues: Integrating APIs from different providers can result in compatibility issues, requiring additional development efforts. Maintenance: APIs require ongoing maintenance and updates to ensure they remain functional and secure. Complexity: Implementing and managing APIs can be complex, especially for organizations lacking the necessary expertise. Examples of Popular APIs Some well-known APIs include: Google Maps API: Allows developers to integrate Google Maps functionalities into their applications, such as location services and route planning. Twitter API: Enables applications to interact with Twitter data, including posting tweets, retrieving user information, and accessing trends. Stripe API: Facilitates online payment processing for e-commerce platforms, supporting transactions, subscriptions, and financial reporting. Spotify API: Allows developers to access Spotify's music catalog, manage playlists, and retrieve user listening data. Future Trends in API Development The future of API development is likely to be influenced by several trends: Increased Security Measures: As security remains a major concern, future APIs will likely incorporate more robust security protocols and authentication methods. API Standardization: Efforts towards standardizing APIs across industries will enhance interoperability and simplify integration processes. GraphQL: This query language for APIs is gaining popularity for its flexibility in retrieving specific data, reducing the need for multiple API calls. AI and Machine Learning Integration: APIs will increasingly incorporate AI and machine learning capabilities, enabling more intelligent and context-aware applications. Conclusion APIs are foundational to modern software development, enabling diverse systems to communicate and share data efficiently. By understanding the different types of APIs, how they work, and their common uses, developers can leverage their benefits to create more scalable, interoperable, and innovative applications. Despite the challenges, the future of API development promises exciting advancements that will continue to transform the digital landscape.
16 July 2024 · 6 min to read

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