DefinitionSecurityAI attacks

What is prompt injection?

Prompt injection is a security attack where malicious input is crafted to override or manipulate an AI model's system instructions. Attackers use it to make AI systems ignore their guardrails, leak sensitive data, or produce harmful outputs.

Glossary

AI terms explained

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Defined

Attack Vectors

How prompt injection works

Every feature designed to help your team work smarter with AI.

Direct injection

Attackers include instructions in their input that tell the model to ignore its system prompt and follow new instructions instead.

Indirect injection

Malicious instructions are hidden in external content the AI processes, like web pages, documents, or emails.

System prompt extraction

Attackers craft prompts designed to make the model reveal its hidden system instructions and configuration.

Jailbreaking

Techniques that bypass safety guardrails by framing harmful requests in creative ways the model does not recognize as violations.

Input validation

Scan and filter user inputs for known injection patterns before they reach the AI model.

Defense in depth

Layer multiple defenses including input scanning, output filtering, and monitoring to catch injection attempts.

Benefits

How to protect against prompt injection

Scan all prompts for known injection patterns before they reach AI models

Implement input validation and sanitization as a standard practice

Use DLP scanning to catch sensitive data extraction attempts

Monitor prompt logs for unusual patterns that suggest injection attacks

Educate team members about injection risks and safe prompting practices

Use TeamPrompt's guardrails to add a security layer between users and AI models

FAQ

Frequently asked questions

Can prompt injection be fully prevented?

No single technique eliminates all prompt injection risk, but layered defenses dramatically reduce it. Input scanning, output monitoring, DLP, and user education together provide strong protection.

Does TeamPrompt protect against prompt injection?

TeamPrompt's DLP scanning catches sensitive data in prompts before they reach AI models, and its governance features help teams enforce safe prompting practices. It adds a security layer between your team and AI tools.

Is prompt injection only a risk for developers?

No. Any team using AI tools is potentially vulnerable, especially when AI processes external content like emails, documents, or web pages. Injection defense is an organizational concern.

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How it works

Three steps from install to full AI security coverage.

Install

Add the browser extension to Chrome, Edge, or Firefox — or deploy it to your whole team via MDM. No proxy or VPN needed.

Configure

Enable the compliance packs for your industry, set DLP rules, and add your team's prompts to the shared library.

Protected

Every AI interaction is scanned in real time. Sensitive data is blocked before it leaves the browser. Your team has a full audit trail.

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