Spam aimed at a human wastes attention; spam aimed at an autonomous agent becomes input — so filter...
Nylas introduces policy-level spam detection for Agent Accounts using DNSBL and header checks, filtering toxic mail before the model reads it. For tech leaders, the risk is poisoned context — agents earnestly process phishing and prompt injections. Mailbox filtering is cheaper than retrofitting skepticism into every prompt.
Spam aimed at a human wastes attention; spam aimed at an autonomous agent becomes input — so filter it before the model ever sees it:
curl --request POST \
--url "https://api.us.nylas.com/v3/policies" \
--header "Authorization: Bearer $NYLAS_API_KEY" \
--header "Content-Type: application/json" \
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