
Prompt Injection Attacks Explained: What Every Team Leader Needs to Know
Your team's AI tools follow instructions. The problem is they can't always tell whose instructions those are.
Insights on AI security, data privacy, and the future of safe human-AI collaboration.

Your team's AI tools follow instructions. The problem is they can't always tell whose instructions those are.

13% of organizations have reported breaches of AI models or applications. 97% of those lacked basic access controls. Here are six practices that close the gap, in the order worth addressing them.

The last time a developer on your team pasted code into ChatGPT to debug it, they probably didn't check what else was in that snippet.

This AI security checklist covers 30 practical controls for teams under 50 people, no IT department required.

ChatGPT Enterprise's 'no training on your data' promise is real. Here's what it actually covers and where the gaps are.

Your client signed an NDA with your agency. Nobody signed one with ChatGPT. Here's what that gap means for your team's daily AI workflow and the data moving through it.
![Shadow AI in Teams: How to Find It, Measure It, and Fix It [Complete Audit Roadmap]](/images/blogs/blog9-shadow-ai-audit.webp)
Most teams know shadow AI is a risk. Far fewer know which unapproved AI tools their team is actually running, what data is going into them, or where to start fixing it. This is the audit framework.

Traditional DLP tools were built before AI tools existed. Here's what AI DLP actually is, why legacy tools miss it, and what small teams need to protect themselves.

Every comparison post you'll find ranks these three on features, speed, and price. Almost none of them compare what actually matters if you handle sensitive data: what happens to the things you type.
Sequirly catches sensitive data in real-time, before it leaves your browser. Set up in 2 minutes, runs locally, zero training required.
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