Proofpoint Prime

Detects and prevents phishing and business email compromise using reputation, signatures and content analysis.

Detonates email attachments in an isolated execution environment before delivery, detecting zero-day malware and weaponized documents that bypass signature-based detection.

Rewrites links in inbound email and re-checks the destination at the moment the user clicks, blocking pages that were weaponized after delivery.

Filters spam and bulk unwanted mail before delivery.

Routes all inbound email through the SEG via MX record change, enabling pre-delivery inspection, queuing, and filtering before messages reach the mail server.

Connects to Microsoft 365 or Google Workspace via native APIs for visibility into internal and delivered mail, enabling post-delivery clawback without changing MX records.

Detects signs of internal mailbox compromise (anomalous login geography, mail forwarding rule creation, unusual send volume), and can trigger automated session revocation.

Builds per-user and per-vendor communication baselines from historical email patterns to detect anomalous content, timing, or sender behavior without relying on signatures or blocklists.

Inserts dynamic banners into delivered messages flagging risk signals such as first-time senders, lookalike domains, or unusual payment requests at read time.

Separates newsletters and bulk mail from threats by routing them to dedicated folders, refining classification from how each user files messages.

Automates the intake, deduplication, and triage of user-submitted suspicious emails, cross-references against in-flight campaigns and triggers retroactive remediation across all recipients.

Detects compromised or spoofed third-party supplier accounts by analyzing communication pattern deviations, domain aging, and content signals, targeting invoice fraud and payment redirection attacks.

Analyzes email body text semantically to detect social engineering, pretexting, and urgency manipulation in messages that contain no malicious attachments or URLs.

Sends simulated phishing emails at configurable frequency and difficulty, tracking click, credential submission, and report rates per user and department.

Calculates individual security risk scores from observed actions (phishing simulation results, policy violations, risky application usage), rather than training completion status alone.

Assigns training modules based on each user's observed risk behaviors, role, and previous training results rather than delivering the same content to all users.

Measures security culture and employee sentiment through surveys and behavioral indicators, tracking how attitudes and norms shift over time and which teams need leadership attention.