Guides & Resources

The 4 data classification levels explained tier by tier: public, internal, confidential, and restricted, plus 3/4/5-level models and which stay out of AI.

Shadow IT is any tool employees use without IT approval. Here are the examples, the risks, how it became shadow AI, and how to manage it.

Data classification sorts data by sensitivity so you protect each type appropriately. Here are the 4 levels, methods, process, and the AI-era shift.

Data exfiltration is the unauthorized transfer of data out of an organization. Here's how it happens, the techniques attackers use, and how to stop it.

Shadow AI detection means finding the unapproved AI tools in use and the data going to them. Here are the layers, the signals, and what blocklists miss.

An insider threat is when someone with authorized access misuses it, on purpose or by accident. Here are the types, examples, and how to prevent data loss.

Shadow AI is the unapproved use of AI tools at work, and it's where sensitive data slips out of view. Here's what it is, the risks, and how to manage it.