Doppel Email Security is now generally available
The agentic email security solution that empowers you to fight back against social engineering attacks. Detection isn't enough. Disruption is the difference.
Use Airtable to organize the human workflow around Doppel findings. Read Doppel log and threat analytics data in Airtable and push takedown requests back to Doppel.
Integration overview
Teams that manage investigations in spreadsheets or operational tables can lose time exporting findings, reconciling status, and manually requesting takedowns. Read Doppel log and threat analytics data in Airtable and push takedown requests back to Doppel. Airtable is useful when brand-protection or fraud teams want custom views, ownership fields, review queues, and reporting around Doppel data without building a separate case-management system.
Bring Doppel threat logs and analytics into Airtable views
Build team-specific queues, trackers, and review workflows around findings
Push takedown requests from Airtable back to Doppel
Better together
Read Doppel log and threat analytics data in Airtable and push takedown requests back to Doppel. This makes the connection valuable when Airtable is already part of the team’s daily operating model and Doppel supplies the external campaign context they would otherwise have to copy across manually.
Bring Doppel threat logs and analytics into Airtable views
Build team-specific queues, trackers, and review workflows around findings
Push takedown requests from Airtable back to Doppel
Challenge
Teams that manage investigations in spreadsheets or operational tables can lose time exporting findings, reconciling status, and manually requesting takedowns.
Solution
Read Doppel log and threat analytics data in Airtable and push takedown requests back to Doppel. The integration is designed around an operational outcome rather than another feed.
Doppel supplies external social-engineering context; Airtable gives the team an operating environment for investigation, coordination, or automation. The integration is useful when the handoff between those two systems is otherwise manual.
During a demo, verify the data direction, objects or fields shared, permissions, response actions, approval points, and how the workflow behaves when a finding changes state.