AI security best practices every team should follow
AI tools are powerful, but they introduce new security risks your existing controls were not designed for. This guide covers the best practices for securing AI usage across your team — from DLP scanning to audit trails to access control.
Security Practices
Six security practices for AI tool usage
Every feature designed to help your team work smarter with AI.
Data loss prevention
Scan every outbound prompt for sensitive data — PII, PHI, credentials, financial data, and proprietary information — before it reaches any AI model.
Comprehensive audit trails
Log every AI interaction with user attribution, timestamps, and tool details. Audit trails provide the visibility security teams need to detect and investigate incidents.
Access control
Implement role-based access so that only authorized users can manage guardrails, view audit logs, and publish prompts organization-wide.
Compliance policy packs
Deploy pre-built DLP rule sets for HIPAA, GDPR, PCI-DSS, CCPA, SOC 2, and general PII. Each pack is designed by compliance experts to cover framework-specific data patterns.
Credential scanning
Detect API keys, tokens, connection strings, and passwords before they are sent to AI tools. Developers commonly paste credentials when asking for debugging help.
Security awareness
Combine technical controls with team training. Help your team understand why certain data should never enter AI prompts and how to use sanitization tools effectively.
Benefits
Why AI security requires new approaches
16
Smart detection patterns
19
Compliance frameworks
40+
Detection rules
FAQ
Frequently asked questions
What is the biggest AI security risk for teams?
Unintentional data exposure. Employees paste sensitive data into AI tools without realizing it leaves their organization's control. Automated DLP scanning catches these incidents before they become breaches.
How do we secure AI tools without blocking them?
Use guardrails instead of bans. TeamPrompt scans prompts in real-time and either warns users, auto-sanitizes sensitive data, or blocks high-risk content — all without preventing legitimate AI usage.
Do we need different security rules for different teams?
Often yes. Engineering teams may need credential scanning, while healthcare teams need PHI detection. TeamPrompt supports team-specific rule configurations alongside organization-wide policies.
How quickly can we implement AI security controls?
Basic DLP scanning and audit logging can be deployed in under an hour. Install the browser extension, enable the relevant compliance packs, and you have immediate protection.
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Learn moreHow 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.
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.