📌 Secure API Systems Summary
Secure API systems are methods and technologies used to protect application programming interfaces (APIs) from unauthorised access, misuse, and data breaches. These systems use techniques like authentication, encryption, and rate limiting to make sure only trusted users and applications can interact with the API. By securing APIs, businesses keep sensitive data safe and prevent malicious activities such as data theft or service disruption.
🙋🏻♂️ Explain Secure API Systems Simply
Think of a secure API system as a locked door with a security guard. Only people with the right key or password can get in and use what is inside. This helps keep out anyone who should not be there and protects valuable information or resources from being stolen or damaged.
📅 How Can it be used?
A secure API system can let an app safely share user data with a trusted third-party payment service.
🗺️ Real World Examples
A bank uses a secure API system to allow mobile apps to access account balances and transaction history. Only verified apps and users can connect, and all data sent between the app and the bank is encrypted to prevent hackers from stealing sensitive financial information.
A healthcare provider implements secure APIs so that only authorised doctors and nurses can access patient records from different hospital systems. This ensures patient data is kept confidential and only available to those who need it for treatment.
✅ FAQ
📚 Categories
🔗 External Reference Links
👏 Was This Helpful?
If this page helped you, please consider giving us a linkback or share on social media!
📎 https://www.efficiencyai.co.uk/knowledge_card/secure-api-systems
Ready to Transform, and Optimise?
At EfficiencyAI, we don’t just understand technology — we understand how it impacts real business operations. Our consultants have delivered global transformation programmes, run strategic workshops, and helped organisations improve processes, automate workflows, and drive measurable results.
Whether you're exploring AI, automation, or data strategy, we bring the experience to guide you from challenge to solution.
Let’s talk about what’s next for your organisation.
💡Other Useful Knowledge Cards
Transfer Learning in RL Environments
Transfer learning in reinforcement learning (RL) environments is a method where knowledge gained from solving one task is used to help solve a different but related task. This approach can save time and resources, as the agent does not have to learn everything from scratch in each new situation. It enables machines to adapt more quickly to new challenges by building on what they have already learned.
Predictive Hiring Tool
A predictive hiring tool is software that uses data and algorithms to help employers identify which job candidates are most likely to succeed in a role. It analyses information from CVs, applications, assessments, and sometimes even social media to predict performance and fit. These tools aim to make hiring decisions fairer and more efficient by reducing human bias and improving the chances of finding the right candidate.
Enterprise Integration Patterns
Enterprise Integration Patterns are a set of design solutions that help different software systems or applications communicate with each other efficiently. These patterns provide standard ways to handle data exchange, message routing, and process coordination across various technologies and platforms. By using these patterns, organisations can connect their systems in a more reliable and organised manner, making it easier to share information and automate workflows.
Federated Learning Scalability
Federated learning scalability refers to how well a federated learning system can handle increasing numbers of participants or devices without a loss in performance or efficiency. As more devices join, the system must manage communication, computation, and data privacy across all participants. Effective scalability ensures that the learning process remains fast, accurate, and secure, even as the network grows.
Discreet Log Contracts
Discreet Log Contracts, or DLCs, are a way to create smart contracts on Bitcoin and similar blockchains. They allow two or more parties to make a financial contract that is settled according to an agreed outcome, such as the price of an asset on a certain date, without revealing the contract details on the blockchain. DLCs use cryptography so that only the outcome and settlement are visible, keeping the terms and conditions private.