Why AI outbound needs a preflight firewall
Traditional deliverability checks are not enough once AI agents can autonomously send cold email at machine speed.
Check every AI-generated email before it sends. Protect sender reputation, prevent risky outreach, and enforce outbound policy.
POST /v1/preflight/email
{
"workspace_id": "ws_demo",
"agent_id": "sdr-agent-01",
"policy": "balanced",
"to": { "email": "cfo@hospital.com", "industry": "healthcare" },
"message": { "subject": "Quick question" },
"decision": "requires_approval",
"risk_score": 86,
"approval": {
"queue": "sales_manager",
"reason": "Pricing claims require approval"
}
}SendGuard sits between your AI agents and your recipients — catching risky sends before they damage your reputation.
AI agents can send hundreds of emails a day. One bad batch can burn your domain for months. SendGuard catches risky sends before they leave your server.
Track behavior per agent. New agents start restricted and earn trust over time. Rogue agents get flagged automatically before they cause damage.
Define rules per industry, intent, or recipient type. Healthcare, finance, recruiting — each gets its own policy. Enforce compliance without manual review.
High-risk sends trigger approval requests before delivery. Sales managers approve or reject in one click. Full audit trail for every decision.
Route outbound through one API from Apollo, Instantly, HubSpot, Salesforce, Gmail, or your own agents. No provider lock-in, no platform-specific policy engine.
Every decision includes a risk score (0–100), severity-rated reason codes, and human-readable explanations. No black boxes, no surprises.
Drop SendGuard into any outbound flow in minutes.
Pass workspace, sender, recipient, message, and policy context.
allow, block, delay, or requires_approval — with risk score and reason codes.
Send, hold for approval, or drop. Full audit log written automatically.
Pay only for what you use. Start with the Entry plan, scale as you grow.
See full pricing details → • Included quota is consumed first, then top-ups cover overage.
Practical guidance on sender reputation, policy controls, and approval workflows for autonomous email systems.
Traditional deliverability checks are not enough once AI agents can autonomously send cold email at machine speed.
The same message should not be treated equally when it comes from a new autonomous agent versus a trusted production workflow.
A risk score only becomes useful when it maps cleanly to operational actions like allow, delay, approval, or block.
Start with 10,000 included checks per month. Add top-ups only when you need them.
Get Started →