AI Security

LLM Red Teaming: What We Found Testing 50 Enterprise AI Deployments

Lead ISO/IEC 42001 Auditor & Founder

Jun 15, 2025

10 min read

Through testing 50 production Large Language Model (LLM) instances, we discovered that most vulnerabilities arise from inadequate input sanitization and excessive backend system permissions. Real security requires robust prompt injection defense and sandboxed execution environments.

Author

Ankit Kumar

Written by Ankit Kumar, Lead ISO/IEC 42001 Auditor & Founder at Xtant.tech.

Put this into practice

Let's make your AI assured.

Reading about governance is the easy part. In a free 30-minute call, we'll look at your AI systems and tell you what to fix first.

Book a free scoping call Chat with Clarity AI

Ready?

Let's make your AI assured.

Tell us what you're building and where it's headed. In 30 minutes we'll map your AI risks, show you where you stand against ISO/IEC 42001, and tell you honestly whether you need us.

Book a free scoping call

No commitment. No sales script. You'll leave with a short list of next steps either way.