DefinitionSecurityLLM

What is LLM security?

LLM security encompasses the practices and controls that protect organizations from risks associated with using large language models. It covers data leakage, prompt injection, model manipulation, and unauthorized access to AI systems.

Security Domains

Key areas of LLM security

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

01

Data leakage prevention

Prevent sensitive data from being sent to LLMs through prompts, including PII, credentials, and proprietary information.

02

Prompt injection defense

Protect against attacks that manipulate LLM behavior by injecting malicious instructions into prompts or content.

03

Access control

Manage who can interact with LLMs and what data they can include in their prompts through role-based permissions.

04

Output monitoring

Monitor LLM outputs for hallucinations, biased content, or inappropriate information before it reaches end users.

05

API key management

Secure API keys and credentials used to access LLM services, preventing unauthorized usage and cost overruns.

06

Threat monitoring

Track and analyze security events across all LLM interactions to detect patterns and emerging threats.

Benefits

Why LLM security matters for organizations

Prevent data breaches from sensitive information sent to third-party LLMs
Protect against prompt injection attacks that manipulate AI behavior
Maintain control over who accesses LLMs and with what data
Reduce risk of AI-generated content causing reputational damage
Meet security requirements for compliance frameworks like SOC 2 and ISO 27001
Enable safe LLM adoption across the organization with proper guardrails

FAQ

Frequently asked questions

What is the biggest LLM security risk?

Data leakage — employees inadvertently sending sensitive data like PII, credentials, or proprietary information to third-party LLMs. DLP scanning is the primary defense against this risk.

How does TeamPrompt address LLM security?

TeamPrompt provides DLP scanning before prompts reach any LLM, access controls to manage who uses AI tools, and audit logging to track all interactions for security monitoring.

Do I need separate security for each LLM?

The core security principles are the same across LLMs, but each provider has different data handling policies. TeamPrompt applies consistent DLP and governance across ChatGPT, Claude, Gemini, and all supported tools.

How it works

Three steps from install to full AI security coverage.

1

Install

Add the browser extension to Chrome, Edge, or Firefox — or use the built-in AI chat. No proxy or VPN needed.

2

Configure

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

3

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.

Ready to secure your team's AI usage?

Drop your email and we'll get you set up with TeamPrompt.

Free for up to 3 members. No credit card required.