The "Copy-Paste" Threat Vector
The interface for modern AI is deceptively simple: a chat box. This simplicity is its greatest security flaw. Unlike complex enterprise systems with role-based access controls, a text box accepts anything: access tokens, patient names, source code, financial projections.
Why Traditional DLP Fails
Traditional Data Loss Prevention (DLP) tools typically monitor files (emails, USB drives). They struggle with the nuance of browser-based interactions where data is pasted as text into an encrypted HTTPS stream (TLS) destined for a legitimate website (like openai.com).
How Sinaptic.AI Stops the Leak
Sinaptic.AI operates inside the browser's rendering engine (DOM), seeing the data before it is encrypted and sent to the cloud. This allows for:
Real-Time Regex & NLP
We use a hybrid detection engine. It spots patterns (Credit Cards, SSNs) and context (names, addresses) instantly.
Intervention, Not Just Monitoring
Most tools just log the leak after it happens. Sinaptic.AI can block the request or warn the user, preventing the data from ever leaving the endpoint.
Case Study: The Samsung Incident
When engineers at Samsung pasted proprietary code into ChatGPT to optimize it, that code became part of the model's training data. This is the nightmare scenario for CISO. Don't be the next headline. Secure your prompts at the source.