Abuse Mailbox Automation
Automatically triage user-reported emails and provide timely feedback to reporters. xorlab uses behavioral AI to streamline abuse mailbox management, improving efficiency and keeping employees engaged.
High volume of abuse reports
A flood of user-reported suspicious emails leads to a growing backlog, delaying responses to real threats.
Time-consuming security analysis
Manually reviewing each report takes too long and diverts focus from critical security tasks.
Difficulty in prioritizing threats
An unstructured backlog of reports makes it challenging to quickly identify and address real threats.
Declining user engagement
Without timely feedback, users lose the motivation to report emails, weakening a valuable source of threat intelligence.
Auto-resolve user-reported suspicious emails
xorlab's behavioral AI automatically classifies user-reported emails as malicious, spam, benign, or phishing simulations.
Engage users with timely feedback
xorlab automatically provides feedback on every reported email, whether malicious or benign, to keep employees informed and motivated to report suspicious emails.
Isolate inbox threats based on a single report
xorlab groups similar reports and applies bulk actions to quickly isolate and remove malicious emails from inboxes, minimizing exposure.
Centralize case management and reporting
xorlab consolidates all user-reported emails into a single view, offering full visibility into each case and campaign.
Enhance your security ecosystem
Seamlessly integrate xorlab with reporting buttons, SIEM/SOAR solutions, and threat intelligence platforms for centralized management.
SOC automation
Automatically triage phishing and spam emails reported to the abuse mailbox by your employees.
Email resilience
Quickly eliminate phishing threats organization-wide from a single user report.
Awareness monitoring
Continuously monitor security awareness and engagement with a simple reporting process.
Without xorlab it was not possible to handle all reported emails. It took us 30min per case, now it's around 1min.
