Discover, classify, and protect your sensitive data wherever it lives.
Emit new event when you add or modify a new row in a table. See the docs here
Emit new event when new rows are returned from a custom query. See the docs here
Emit new event when a new table is added to a database. See the docs here
The Nightfall.ai API excels in identifying and managing sensitive information exposed in text and file payloads. With Pipedream's serverless integration platform, you can wire Nightfall.ai into a variety of workflows to automate data protection and compliance processes. By tapping into Nightfall's machine learning capabilities, you can build workflows that scan and react to data in motion, ensuring sensitive info like credit card numbers, passwords, or Personally Identifiable Information (PII) is caught and handled securely.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
nightfall_ai: {
type: "app",
app: "nightfall_ai",
}
},
async run({steps, $}) {
const data = {
"fileSizeBytes": `123`,
}
return await axios($, {
method: "post",
url: `https://api.nightfall.ai/v3/upload`,
headers: {
Authorization: `Bearer ${this.nightfall_ai.$auth.api_key}`,
"Accept": `application/json`,
"Content-Type": `application/json`,
},
data,
})
},
})
The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.
import mysql from '@pipedream/mysql';
export default defineComponent({
props: {
mysql,
},
async run({steps, $}) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql
const queryObj = {
sql: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.mysql.executeQuery(queryObj);
},
});