diff --git a/ai-platform/snippets/imagen-verify-image-watermark.js b/ai-platform/snippets/imagen-verify-image-watermark.js
deleted file mode 100644
index 16aa270c6c..0000000000
--- a/ai-platform/snippets/imagen-verify-image-watermark.js
+++ /dev/null
@@ -1,86 +0,0 @@
-/*
- * Copyright 2024 Google LLC
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *     https://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-'use strict';
-
-async function main() {
-  // [START generativeaionvertexai_imagen_verify_image_watermark]
-  /**
-   * TODO(developer): Update these variables before running the sample.
-   */
-  const projectId = process.env.CAIP_PROJECT_ID;
-  const location = 'us-central1';
-  const inputFile = 'resources/dog_newspaper.png'; // has watermark
-
-  const aiplatform = require('@google-cloud/aiplatform');
-
-  // Imports the Google Cloud Prediction Service Client library
-  const {PredictionServiceClient} = aiplatform.v1;
-
-  // Import the helper module for converting arbitrary protobuf.Value objects
-  const {helpers} = aiplatform;
-
-  // Specifies the location of the api endpoint
-  const clientOptions = {
-    apiEndpoint: `${location}-aiplatform.googleapis.com`,
-  };
-
-  // Instantiates a client
-  const predictionServiceClient = new PredictionServiceClient(clientOptions);
-
-  async function verifyImageWatermark() {
-    const fs = require('fs');
-    // Configure the parent resource
-    const endpoint = `projects/${projectId}/locations/${location}/publishers/google/models/imageverification@001`;
-
-    const imageFile = fs.readFileSync(inputFile);
-    // Convert the image data to a Buffer and base64 encode it.
-    const encodedImage = Buffer.from(imageFile).toString('base64');
-
-    const instance = {
-      image: {
-        bytesBase64Encoded: encodedImage,
-      },
-    };
-    const instanceValue = helpers.toValue(instance);
-    const instances = [instanceValue];
-
-    const request = {
-      endpoint,
-      instances,
-    };
-
-    // Predict request
-    const [response] = await predictionServiceClient.predict(request);
-    const predictions = response.predictions;
-    if (predictions.length === 0) {
-      console.log('No decision was generated. Check the request image.');
-    } else {
-      predictions.forEach(prediction => {
-        // "ACCEPT" if the image contains a digital watermark
-        // "REJECT" if the image does not contain a digital watermark
-        console.log(prediction.structValue.fields.decision.stringValue);
-      });
-    }
-  }
-  await verifyImageWatermark();
-  // [END generativeaionvertexai_imagen_verify_image_watermark]
-}
-
-main().catch(err => {
-  console.error(err);
-  process.exitcode = 1;
-});
diff --git a/ai-platform/snippets/test/imagen.test.js b/ai-platform/snippets/test/imagen.test.js
index 7b9f4a1250..fa6aa1cbe6 100644
--- a/ai-platform/snippets/test/imagen.test.js
+++ b/ai-platform/snippets/test/imagen.test.js
@@ -24,7 +24,7 @@ const cp = require('child_process');
 const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
 const cwd = path.join(__dirname, '..');
 
-describe('AI platform generate and edit an image using Imagen and check for a watermark', () => {
+describe('AI platform generate and edit an image using Imagen', () => {
   it('should generate an image', async () => {
     const stdout = execSync('node ./imagen-generate-image.js', {
       cwd,
@@ -37,12 +37,6 @@ describe('AI platform generate and edit an image using Imagen and check for a wa
     });
     assert.match(stdout, /Saved image output1.png/);
   });
-  it('should verify that an image contains a watermark', async () => {
-    const stdout = execSync('node ./imagen-verify-image-watermark.js', {
-      cwd,
-    });
-    assert.match(stdout, /ACCEPT/);
-  });
 });
 
 describe('AI platform edit image using Imagen inpainting and outpainting', () => {