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.
External threat coverage
Friend.tech
Social Media
Make Friend.tech part of your external attack-surface coverage. Doppel focuses on impersonating accounts and scam narratives that exploit a trusted identity and helps teams move validated abuse into the supported response path.
Integration overview
How Doppel + Friend.tech helps security teams
In fast-moving web3 communities, copied identities and investment narratives can spread before users have time to verify who is behind them. Doppel addresses this by helping teams detect confirmed impersonation and move malicious content toward takedown. When the same actor uses domains, social profiles, ads, email, or other channels, those signals can be evaluated as one social-engineering operation.
Integration benefits
Identify accounts impersonating founders, projects, or brands
Give web3 security, brand protection, and fraud teams a repeatable way to identify this Friend.tech-specific risk.
Spot deepfake or scam content connected to the same campaign
Relate the finding to the domains, accounts, ads, email, or other infrastructure that gives the scam reach and credibility.
Pursue takedown of validated malicious identities
Use the verified remediation path for Friend.tech once the evidence supports action.
Better together
How Friend.tech fits into campaign-level defense
On Friend.tech, Doppel looks for impersonating accounts and scam narratives that exploit a trusted identity. Once validated, the evidence can be connected to other attacker-controlled assets and moved through the response path supported for this platform.
Use case overview
Common Friend.tech use cases with Doppel
Identify accounts impersonating founders, projects, or brands
Give web3 security, brand protection, and fraud teams a direct workflow for this scenario instead of relying on ad hoc manual searches.
Spot deepfake or scam content connected to the same campaign
Use campaign context to identify repeat infrastructure, escalation paths, and adjacent threats.
Pursue takedown of validated malicious identities
Track the finding through the appropriate response path so status stays connected to the original evidence.
Challenge
The challenge on Friend.tech
Teams can remove one Friend.tech artifact and still leave the attacker’s broader infrastructure intact if the investigation stops at the platform boundary.
Solution
How Doppel + Friend.tech helps
The combination of Friend.tech-specific coverage and campaign analysis gives web3 security, brand protection, and fraud teams a more durable response than one-off reporting.
Protecting the user journey on Friend.tech
People arrive at Friend.tech with an expectation of authenticity. Doppel focuses on impersonating accounts and scam narratives that exploit a trusted identity so web3 security, brand protection, and fraud teams can identify when that trust is being weaponized and move confirmed abuse toward response.
From Friend.tech detection to supported remediation
The page should make the response path explicit: what Doppel identifies, how it is validated, what action is supported for Friend.tech, and what remains connected in Doppel for follow-up investigation.
Related Resources
Learn More
Related integrations
More in Social Media
FAQs
Frequently asked questions
What does Doppel look for on Friend.tech?
Doppel focuses on impersonating accounts and scam narratives that exploit a trusted identity. Detect brand impersonation, scam infrastructure, impersonating accounts, and deepfake content for takedown.
Can Doppel help take down impersonation on Friend.tech?
Detect brand impersonation, scam infrastructure, impersonating accounts, and deepfake content for takedown. The exact platform process depends on the account or content type
How does Friend.tech activity connect to the rest of an attack?
Doppel can evaluate a Friend.tech finding alongside related domains, accounts, ads, email, or other external infrastructure so responders can see whether it belongs to a coordinated social-engineering campaign.
Who should use Doppel coverage for Friend.tech?
The page is most relevant to web3 security, brand protection, and fraud teams dealing with impersonating accounts and scam narratives that exploit a trusted identity.
Walk through a real Friend.tech use case
Bring a real Friend.tech abuse scenario to the demo. We can walk through what Doppel looks for, how related infrastructure is connected, and what remediation path is supported.