Advanced Threat Prevention
Financial Fraud Prevention

Prevent financial fraud including wire-fraud, payment fraud, payroll fraud
Stop insider threats that perpetuate fraud using machine language to analyze user behavior
Identify malicious behavior by combining understanding of business processes (like invoices) with content of the email (request to change bank account)
Automatically identify and catalog vendors to stop vendor or supply chain fraud
Email Account Compromise

Prevent data exfiltration by detecting unusual mail forwarding rules
Detect suspicious behavioral signals such as anomalous logins, impossible travel, and strong authentication failure sequences
Stop threats by matching email content with fingerprints of users’ historical data like login IP address
Reduce complexity in threat investigation of email account compromises, with alerts consolidated in a timeline view
Targeted Attack Protection

Prevent wire fraud, invoice fraud, and other kinds of email based financial fraud
Stop socially engineered threats that sneak past legacy security controls
Stop zero-day credential phishing attacks using computer vision based brand impersonation detection
Alert users by adding contextual warning banners with specific information on the attack whether the email was moved to Junk, Spam, or Deleted folders
Perform detailed attack analysis using user identity, behavior, and language signals
Automatically delete, quarantine, label, or add warning banners to emails based on predetermined policies
Vendor and Executive Impersonation Protection

Stop executive impersonation threats through natural language understanding (NLU)
Identify VIPs and most targeted users across the organization
Automated identification and alerts on vendor impersonation attacks including domain spoofs, name impersonation, as well as vendor account takeovers
Internal Mail Analysis and Protection

Mitigate insider threats with detection of anomalous user or email behavior
Stop attacks through compromised internal accounts that aim to exfiltrate sensitive business data
Prevent employee impersonation through natural language understanding (NLU) and ML analysis
Graymail and Social Engineering Protection

Stop recon emails meant to identify and launch attacks against susceptible employees
Block annoying spam emails that bypass legacy spam filters without writing any new rules
Stop socially engineered attacks targeted at employees to steal money or data
Automatically identify and stop fake emails impersonating known business workflows like password reset emails