📌 DevSecOps Summary
🙋🏻♂️ Explain DevSecOps Simply
📅 How Can it be used?
🗺️ Real World Examples
✅ FAQ
📚 Categories
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💡Other Useful Knowledge Cards
Token Validation
Token validation is the process of checking whether a digital token, often used for authentication or authorisation, is genuine and has not expired. This process ensures that only users with valid tokens can access protected resources or services. Token validation can involve verifying the signature, checking expiry times, and confirming that the token was issued by a trusted authority.
Stability Index
A stability index is a measure used to assess how stable or consistent something is over time. It is often used in fields like engineering, finance, and data analysis to identify changes or shifts in a system, data set, or process. By calculating the stability index, organisations can monitor trends, detect problems early, and make informed decisions to maintain or improve performance.
Decision-Making Frameworks
Decision-making frameworks are structured methods or sets of steps that help individuals or groups choose between different options. They guide people through evaluating choices, considering consequences, and selecting the best possible action. These frameworks can be simple checklists or detailed models, and they are used to bring clarity and consistency to the decision process.
Feature Interaction Modeling
Feature interaction modelling is the process of identifying and understanding how different features or variables in a dataset influence each other when making predictions. Instead of looking at each feature separately, this technique examines how combinations of features work together to affect outcomes. By capturing these interactions, models can often make more accurate predictions and provide better insights into the data.
Neural Network Robustness
Neural network robustness is the ability of a neural network to maintain accurate and reliable performance even when faced with unexpected or challenging inputs, such as noisy data or intentional attacks. Robustness helps ensure that the network does not make mistakes when small changes are made to the input. This is important for safety and trust, especially in situations where decisions have real-world consequences.