Why legacy DLP misses AI, and how to
close the gap
Traditional data loss prevention was built for files, email, and network traffic. The fastest-growing risk now lives in the browser: prompts typed into ChatGPT, Claude, Gemini, and AI features embedded in SaaS. That usage is invisible to legacy DLP. Here is the honest gap, and how to switch to Workforce AI Security without ripping anything out.
Legacy DLP cannot see the prompt. When AI runs in the browser, the prompt and response never appear as a file transfer or an email attachment, so network and endpoint DLP have nothing to inspect.
This is not a vendor flaw, it is a category limitation. DLP was designed before generative AI moved work into the browser. Blocking an entire AI domain stops the tool but also stops the productivity gain and pushes employees onto personal devices, where you have no visibility at all. Workforce AI Security closes the gap by operating at the browser and endpoint layer, where the prompt actually exists.
Legacy DLP vs Workforce AI Security
A fair, side-by-side look at where traditional DLP stops and where an AI-native layer is needed. Legacy DLP is described as a category, not any single vendor.
| Capability | Legacy DLP | Workforce AI Security (Aona) |
|---|---|---|
| Prompt visibility | ✕Cannot see prompt content typed into browser-based AI tools | ✓Sees the actual prompt at the browser and endpoint, where it exists |
| Native and browser AI apps | ✕Browser-based AI usage is invisible to network and endpoint DLP | ✓Discovers AI tools used in the browser and in desktop apps |
| Shadow AI discovery | ✕No inventory of unapproved AI tools or embedded AI features | ✓Full AI tool inventory, including unapproved and embedded AI |
| Real-time employee coaching | ✕Alerts security after the fact, or hard-blocks the whole domain | ✓Coaches the employee in the moment of a risky AI prompt |
| DLP for AI tools | ~Built for files, email, and network egress, not AI prompts | ✓Policy applied to AI tools specifically, at the prompt layer |
| Behaviour change over time | ✕Static rules; employees route around blocks to personal devices | ✓Coaching and upskilling shift how the workforce uses AI |
Legend: ✓ covered · ~ partial or blunt (domain-level only) · ✕ not addressed by the legacy DLP category.
How the migration works
Switching to Workforce AI Security is additive, not a rip-and-replace. You keep legacy DLP for what it is good at and add the AI layer on top, in phases.
Keep your existing DLP
Leave legacy DLP in place for email, managed file shares, and traditional endpoint egress. Nothing is ripped out. Aona is additive and runs alongside it.
Deploy the AI layer from the endpoint
Push the Aona browser plugin and the Windows and macOS desktop app through your existing MDM or group policy. No network proxy and no VPN to stand up.
Run a discovery pilot
See your real AI usage and a complete shadow AI inventory, including the browser-based and native AI apps that legacy DLP cannot see.
Turn on coaching and policy in phases
Enable real-time coaching at the moment of a risky prompt, then apply DLP policy to AI tools. Roll out by team so adoption stays smooth.
Where the AI layer actually lives
The two capabilities legacy DLP cannot deliver for AI: prompt-level DLP for AI tools, and discovery of the AI tools employees use in the first place.
DLP for ChatGPT and other AI tools
Apply data loss prevention at the prompt layer, where legacy DLP cannot reach. See and govern sensitive data before it enters a browser-based AI tool, without blocking the whole domain.
See DLP for ChatGPT →Shadow AI detection
Discover every AI tool your workforce uses, including the browser-based and embedded AI that is invisible to network and endpoint DLP. You cannot govern what you cannot see.
See shadow AI detection →FAQ
Switching from legacy DLP to Workforce AI Security
Why does legacy DLP miss AI usage?
Can legacy DLP block sensitive data going into ChatGPT?
Do I have to rip out my existing DLP to use Aona?
How long does migration take?
Is Aona secure and compliant enough for a regulated environment?
Does Aona offer a free trial?
See what legacy DLP
cannot
Book a demo to see prompt-level visibility, shadow AI discovery, and real-time coaching on your own environment. Or start a 30-day free trial.