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--- a/docs/mindarmour/docs/source_en/index.rst
+++ b/docs/mindarmour/docs/source_en/index.rst
@@ -1,5 +1,5 @@
 MindArmour Documents
-=========================
+====================
 
 AI is the catalyst for change but also faces challengs in security and privacy protection. MindArmour provides adversarial robustness, model security tests, differential privacy training, privacy risk assessment, and data drift detection.
 
@@ -8,7 +8,7 @@ AI is the catalyst for change but also faces challengs in security and privacy p
    <img src="https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/master/docs/mindarmour/docs/source_en/images/mindarmour.png" width="700px" alt="" >
 
 Typical Application Scenarios
------------------------------------------
+-----------------------------
 
 1. `Adversarial Example <https://www.mindspore.cn/mindarmour/docs/en/master/improve_model_security_nad.html>`_
 
@@ -22,11 +22,15 @@ Typical Application Scenarios
 
    Emhances model privacy and protects user data using differential training and protection suppression mechanisms.
 
-4. `Fuzz <https://www.mindspore.cn/mindarmour/docs/en/master/test_model_security_fuzzing.html>`_
+4. `Reliability <https://www.mindspore.cn/mindarmour/docs/en/master/concept_drift_time_series.html>`_
+
+   Detects data distribution changes in time and predicts the symptoms of model failure in advance, which is of great significance for the timely adjustment of the AI model through multiple data drift detection algorithms.
+
+5. `Fuzz <https://www.mindspore.cn/mindarmour/docs/en/master/test_model_security_fuzzing.html>`_
 
    Provides a coverage-guided fuzzing tool that features flexible, customizable test policies and metrics, and uses neuron coverage to guide input mutation so that the input can activate neurons and distribute neuron values in a wider range. In this way, we can discover different types of model output results and incorrect behaviors.
 
-5. `Model Encryption <https://www.mindspore.cn/mindarmour/docs/en/master/model_encrypt_protection.html>`_
+6. `Model Encryption <https://www.mindspore.cn/mindarmour/docs/en/master/model_encrypt_protection.html>`_
 
    Uses the symmetric encryption algorithm to encrypt the parameter files or inference models to protect the model files. Directly loads the ciphertext model to implement inference or incremental training when using the algorithm.
 
@@ -84,6 +88,7 @@ Typical Application Scenarios
    :maxdepth: 1
    :caption: References
 
+   design
    differential_privacy_design
    fuzzer_design
    security_and_privacy