AI governance is useless if your communication layer is unprotected. Every decision, every dataset, every model pipeline depends on trust in the messages flowing between systems and people. That trust begins—or fails—with authentication protocols like DKIM, SPF, and DMARC. Without them, attackers can send from your domain, poison your workflows, and erode confidence in outputs your AI systems depend on.
SPF (Sender Policy Framework) gives mail servers a list of allowed senders for your domain. It’s the simplest guardrail, stopping obvious forgeries before they land. But SPF alone is not enough.
DKIM (DomainKeys Identified Mail) signs each message with a cryptographic key. When a receiving server checks it against your DNS record, it confirms the email wasn’t changed in transit. This builds integrity into your message flow—a must when critical AI signals pass through email triggers or logging systems.
DMARC (Domain-based Message Authentication, Reporting, and Conformance) enforces these checks and tells receiving servers what to do when messages fail. It connects SPF and DKIM into a single policy: quarantine suspicious messages, reject outright fakes, and report incidents so you can respond fast.