AI-Powered Email Threat Analysis

Reducing Human Risk When Malicious Emails Reach the Inbox

Microsoft and Google block the vast majority of malicious emails automatically, but modern attacks are designed to be subtle, targeted, and difficult to detect. These threats often rely on social engineering rather than obvious malware, which means some suspicious emails will still reach user inboxes.

This is where layered email threat analysis becomes essential, helping organizations identify, understand, and respond to risks that automated filtering alone cannot fully address.

How Security Coaching Reduces Human Risk

When suspicious emails reach users, real-time analysis inside the inbox helps close the gap between detection and action. AI-powered threat coaching explains why an email may be risky and guides users toward the correct response, such as reporting the message for further investigation.

By providing contextual guidance at the moment of decision, organizations can reduce human error while reinforcing good security behavior without disrupting everyday workflows.

Deeper Investigation And Safe Threat Containment

Emails reported by users are escalated to admins for deeper analysis, providing full visibility into intent, risk, and key indicators. Advanced threat analysis brings authentication results, sender signals, link reputation, and AI-generated summaries together in one place.

For complex or evasive threats, sandboxing allows admins to safely investigate behavior in real time, supporting confident classification and threat neutralization without exposing users or systems to risk.

Analyzing Malicious Links Before They Cause Harm

Most phishing attacks succeed through a single malicious link, so link analysis is a critical layer of email threat detection. Every URL in a reported email is extracted and checked against live threat intelligence, with security-gateway rewrites such as Microsoft Safe Links and Proofpoint URL Defense unwrapped to reveal each link's true destination rather than the rewritten wrapper.

Suspicious links, including those hidden inside QR codes, are safely visited in an isolated cloud sandbox that follows the full chain of redirects and captures the final landing page. This catches credential-harvesting pages, brand impersonation, and newly created phishing sites with no reputation history, delivering a clear verdict for every link with a plain-English explanation of how it was reached.