📌 Data Encryption Standards Summary

Data Encryption Standards are rules and methods used to convert readable information into a coded format, making it hard for unauthorised people to understand. These standards help protect sensitive data during storage or transfer by scrambling the information so that only someone with the correct key can read it. The most well-known example is the Data Encryption Standard (DES), but newer standards like the Advanced Encryption Standard (AES) are now more commonly used for better security.

🙋🏻‍♂️ Explain Data Encryption Standards Simply

Imagine writing a secret message using a special code that only your best friend knows how to read. If anyone else finds the message, it will look like a jumble of letters and numbers to them. Data Encryption Standards are like these secret codes, but for computers and digital information.

📅 How Can it be used?

A project storing customer details online could use an encryption standard to keep their personal information secure from hackers.

🗺️ Real World Examples

Online banking websites use encryption standards to protect your account details and transactions, ensuring that your private information cannot be intercepted or read by cybercriminals while you access your bank online.

Messaging apps often use encryption standards to secure the messages you send, so only the intended recipient can read what you have written, even if someone else tries to intercept the message.

✅ FAQ

Data encryption standards are designed to keep information private and safe from people who are not meant to see it. By turning readable data into a coded format, these standards help make sure that only someone with the right key can understand the information, whether it is being stored or sent somewhere else.

Older standards like DES were once considered strong, but as technology improved, people found ways to break them more easily. Newer standards such as AES offer much better protection, making it far harder for anyone to crack the code and access the information without permission.

While encryption makes it much harder for unauthorised people to read data, nothing is ever completely foolproof. The strength of the protection depends on how good the encryption standard is and how carefully it is used. Using modern standards and keeping keys secure gives your information the best possible chance of staying private.

📚 Categories

• Cryptographic Primitives
• Cybersecurity
• InfoSec

🔗 External Reference Links

Data Encryption Standards link

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

Privacy-Aware Inference Systems

Privacy-aware inference systems are technologies designed to make predictions or decisions from data while protecting the privacy of individuals whose data is used. These systems use methods that reduce the risk of exposing sensitive information during the inference process. Their goal is to balance the benefits of data-driven insights with the need to keep personal data safe and confidential.

Output Depth

Output depth refers to the number of bits used to represent each individual value in digital output, such as in images, audio, or video. It determines how many distinct values or shades can be displayed or recorded. For example, higher output depth in an image means more subtle colour differences can be shown, resulting in smoother and more detailed visuals.

Server Spikes

Server spikes occur when the demand on a computer server suddenly increases for a short period. This can be caused by many users visiting a website or using an online service at the same time. If the server is not prepared for this extra demand, it can slow down or even crash, affecting everyone trying to use it.

Cloud-Native Application Security

Cloud-native application security is the practice of protecting software that is designed to run in cloud environments. These applications are often built using containers, microservices, and managed services, which require different security measures than traditional software. The goal is to keep data safe, prevent unauthorised access, and ensure the software works as intended even as it scales or changes quickly.

Subresource Integrity (SRI)

Subresource Integrity (SRI) is a security feature that helps ensure files loaded from third-party sources, such as JavaScript libraries or stylesheets, have not been tampered with. It works by allowing website developers to provide a cryptographic hash of the file they expect to load. When the browser fetches the file, it checks the hash. If the file does not match, the browser refuses to use it. This helps protect users from malicious code being injected into trusted libraries or resources.