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What is Shadow AI in ServiceNow?
Artificial Intelligence is one of the most used technologies in the current time by all of us. Well, it is not just limited to organizations, as it is changing how the companies are handling the IT work, HR tasks as well as customer support. It has become one of the biggest platforms that is leading the change. As more of the teams are beginning to use AI, a new problem has emerged called” Shadow AI”.
In this article, we have tried to make you understand and learn what Shadow AI is. Through this article, you can understand how it is related to ServiceNow and something that you need to know about it. Taking the ServiceNow classes can be a great initiative towards learning Shadow AI in detail. So let’s begin discussing this in detail:
Shadow AI is when someone in an organization uses an AI tool, model, or script without telling the IT or compliance team. There will be no need of approval, registration, or information. Shadow AI usually happens when a developer builds a custom AI workflow, connects an outside AI model to the platform, or sets up automated AI agents.
Key Features of Shadow AI in
ServiceNow:Shadow AI does not always start with bad intentions. Most of the time, people are just trying to move faster or get things done without waiting for long approval processes. But the risks are real regardless of the reason. Taking the ServiceNow Training in Delhi can help you understand these risks and create strategies for the same. Here are the main signs of Shadow AI:
1. No registration: The AI model or tool is not added to ServiceNow Model Inventory. Governance teams have no idea it exists.
2. Data flows that nobody tracks: Information moves in and out of the AI tool without any logging or monitoring. This breaks most data protection policies.
3. No change management: The AI was pushed to production without going through the proper change approval process. No CAB review, no testing sign-off.
4. No risk rating: Nobody assessed whether this AI is high risk or low risk. So if something goes wrong, there is no plan to deal with it.
5. No clear owner: Nobody knows who is responsible for the AI, who maintains it, who fixes it if it fails, or who answers for it if it causes harm.
Why Shadow AI Is a Problem in
ServiceNow?ServiceNow holds a lot of sensitive data, including IT tickets, employee records, service requests, and more. When an AI tool runs on this data without anyone knowing, things can go wrong fast. If you apply for the ServiceNow Training in Noida, then you can get the solutions for protecting your valuable data.
1. Data gets exposed: If an AI model is pulling data from ServiceNow and sending it to an outside server, that data could be leaked or misused, and no one would even know.
2. Compliance issues: Regulations like the EU AI Act now require companies to keep a record of every AI system they use. If an AI is running without being registered, the company is already breaking the rules.
3. Wrong decisions get made: An AI agent running without proper controls can approve changes it should not, close tickets incorrectly, or escalate issues the wrong way.
Shadow AI is a hidden and quite risky in many of the ServiceNow environments. Also, most of the organizations don’t even realize how dangerous it is until something breaks or an audit raises an issue. Taking the ServiceNow Admin Course can help control your AI when it runs inside your platform; you know about this, as well as how it affects your organization.
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