Red teaming
Detection tells you what got through. Red teaming tells you what would.
The same models attackers use to write phishing, BEC, and impersonation at scale are available to defenders too. The idea: continuously attack your own funnel — signup, support, checkout — with realistic, model-generated social-engineering attempts, and measure what your defenses (and Fender) actually catch.
What it might look like
Section titled “What it might look like”- Campaigns on a schedule. Generate phishing links, lookalike domains, BEC and pretext emails, and plausible fake signups, aimed at your real flows.
- A scorecard. What got blocked, what slipped through, and where the gaps are — tracked over time as attackers (and models) evolve.
- Closed loop with detection. Findings feed back into the detection endpoints you already use, so coverage improves where it matters.
A hypothetical shape (very much subject to change):
POST /v1/red-team/run{ "target": "signup", "vectors": ["phishing", "bec", "fake-account"], "volume": 100 }{ "run_id": "rt_…", "sent": 100, "caught": 83, "missed": 17, "report": "https://…" }Interested?
Section titled “Interested?”We’re prioritizing based on demand. If adversarial testing of your social-engineering defenses would help, email us — tell us your use case and we’ll loop you in.