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

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

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

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

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

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

Detect accidental or malicious loss of sensitive PII and PCI (SSNs, bank account details) over email

Reduce false positive rates seen with legacy DLP solutions with language-based models that identify PII and PCI within email context (like differentiating between SSNs and Zoom meeting IDs)

Configure in compliance mode (monitoring and detection) or block mode (applying enforcement actions)

Build custom regexes to detect emails that have matching characteristics

Customize policies to create response actions unique to each organization

Use threat intel and IOCs from other sources to investigate malicious emails

Connect to current phishing/abuse mailbox to automatically monitor and analyze user-reported threats without the need to retrain users

Automate away 75-97% of manual work associated with user reporting phishing emails without creating any rules

Remove identical or similar suspicious emails across user mailboxes with one click

Apply forward-looking remediation actions that automatically protect against similar attacks in the future, focusing on reported emails that need human review

Out-of-the-box integration with SIEM tools including Microsoft Sentinel, Splunk and Swimlane

Automated playbooks within Palo Alto Networks Cortex XSOAR that integrate threat alerts from email security with network, endpoint, cloud, and other infrastructure

Reduce mean time to remediation and give security teams time to focus on proactive security initiatives

Identify and monitor vendor profiles conducting business with individuals across the organization

Stop vendor fraud attempts through the creation of supplier risk assessments (invoice fraud, look alike domains, hijacking invoice payment conversation threads)

Detect vendor, brand, or client impersonation through natural language understanding (NLU) to confirm vendor identities

Quickly search emails by sender, recipient, message id, or subject for threat hunting or investigations

Setup auto-remediation rules or apply custom actions across user mailboxes

Apply bulk actions to classify, quarantine, or hard delete messages across user inboxes with one click

Report emails into abuse mailbox with one click for automated remediation and dynamic policy creation

Save time with automated threat reports, delivered via email on the chosen cadence

Increase confidence in end-user protection with detailed insights into threats prevented by Armorblox that would have made it through in-line security tools, and analyze targeted attack trends

Detailed insights into threats Armorblox stopped that targeted end users (phishing, BEC, account compromise, impersonation)