The ease of using public AI tools has created a new vector for data theft. Disgruntled employees or malicious actors can copy-paste massive datasets, proprietary source code, or customer directories into AI chat windows within seconds. Because these actions bypass traditional network uploads, organizations need dedicated AI Insider Threat Protection.
TryAIDR monitors and blocks high-risk data actions at the OS clipboard and application levels, catching insider threats before they leak data.
Why Legacy Tools Miss AI Insider Threats
Traditional endpoint security and DLP suites fall short:
- Clipboard Blindspots: Legacy DLP cannot hook into clipboard API calls dynamically to see what was copied and where it was pasted.
- HTTPS Encryption: Once data is pasted inside the browser, it is packaged into encrypted HTTPS prompts, rendering network-level inspection blind.
- Bypass via Typing: Employees can manually retype sensitive information or use voice-to-text, bypassing simple file-attachment rules.
Stopping Insider Threats at the Speed of Copy-Paste
TryAIDR intercepts and analyzes interactions locally on the endpoint:
- OS-Level Interception: Hooks into the operating system clipboard API to block paste actions (
Ctrl+V) into AI tools before the target application receives them. - Bulk Transfer Restrictions: Detects if an employee attempts to copy large blocks of text or multiple document segments within a short time window.
- Proprietary Code Protection: Flags and blocks copy-paste of proprietary functions, intellectual property, or financial spreadsheets.
Insider Threat Alert Event
Each blocked exfiltration attempt generates an immediate, cryptographically signed ledger entry:
json
{
"event_id": "threat-3329x",
"policy": "insider-threat-source-code",
"trigger": "bulk_source_code_paste",
"action": "block_and_alert",
"device_id": "usr-ep-882",
"timestamp": "2026-07-03T13:13:00Z"
}