Security teams face two challenges when remediating emails sent to abuse mailboxes: Repetitive manual tasks and insufficient contextual data. Armorblox streamlines this process, saving valuable time by automatically classifying and resolving user-reported threats.
Attackers use automation and sophisticated spoofing to continually launch email attacks on enterprises. The result? Security teams get bogged down by high volumes of user-reported threats and false positives.
Organizations are subject to daily attack campaigns across thousands of users, resulting in abuse mailboxes bursting at the seams.
Phishing awareness training has arguably overcorrected the problem, with employees now forwarding safe emails to abuse mailboxes en masse.
Security teams spend more time than they should on email threat triage and manual response actions, which leads to inefficient operations and an overworked team.
Most breaches start with or involve email somehow - whether it's phishing, ransomware, BEC, or worse. Getting human eyes on the right alerts is vital.
Armorblox abuse mailbox automation analyzes every user-reported email to remediate known threats, weed out false positives, and escalate more sophisticated email threats to the security team. The platform also learns from every manual action to automatically protect against similar future threats.
Automate the triage and remediation of user-reported email threats with algorithms that get smarter over time.
Reduce response times by automatically resolving emails flagged under existing Armorblox detection categories.
Remove identical and similar suspicious emails across user mailboxes with one click.
Contain threats with custom machine learning models built for every organization and user.
Armorblox clearly explains why each email is safe or suspicious, simplifying investigation and enabling your security team to mark rare false positives with greater confidence.
Review granular (but easy to grasp) threat indicators from the Armorblox detection engine for every flagged email.
Surface anomalous behavioral patterns and domain communication history.
View all reports in a central dashboard to avoid having to check across multiple security tools for data.
Armorblox learns from threats and manual actions to improve and provide more contextually relevant inbound threat detection over time.
Armorblox uses past learnings to create dynamic policies that automatically block similar and identical threats in the future.
Users report fewer emails to the abuse mailbox over time because of Armorblox detection.
Inspect the health of Armorblox machine learning models that get better with time and feedback.
Armorblox algorithms understand the content and context of communications to reduce false positives for user-reported threats and protect against targeted attacks.
Armorblox has out-of-the-box detection policies and automatable response actions that take email security busywork out of your hands.
We don’t have all the answers, but you do. Armorblox builds custom ML models for every customer and end user to keep learning and get better with time.
“Cities and counties have seen a startling increase in business email compromise and impersonation attacks. In deploying Armorblox, we have a tool that helps detect and prevent those attacks smartly — it is highly effective and does not interrupt the flow of City business.”
Rob Lloyd
CIO | City of San Jose
Armorblox easily connects with your abuse mailbox in less than five minutes. Give your security team time back in their day to focus on more proactive tasks.
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