
Ben Gallitz engineered and enhanced detection rules for the sublime-security/sublime-rules repository, focusing on email security and threat detection over a three-month period. He developed and refined YAML-based rules to improve brand impersonation detection for companies like Booking.com, Capital One, and Wix, and expanded coverage for financial and employee-related threats. Leveraging regular expressions and configuration management, Ben consolidated detection logic, broadened keyword and pattern matching, and reduced false positives through targeted exclusions and standardized formats. His work demonstrated careful rule tuning and maintainability, resulting in higher detection accuracy, lower alert noise, and more reliable compliance monitoring across evolving threat scenarios.

September 2025 performance: Strengthened detection rules for sensitive employee communications in sublime-security/sublime-rules, delivering targeted enhancements to email attachment and phone-number detection to improve risk flagging while reducing false positives. Key changes included expanding keywords in attachment_sus_employee_doc.yml (payout, qualification, plan), correcting a file-name typo for compensation, and adding 2022–2023 date patterns; refining phone-number detection with standardized digit sets and flexible spacing; and introducing exclusions in paypal_invoice_abuse.yml to prevent legitimate settlement refunds from triggering alerts. These changes were implemented via two commits (4f38807c75333f5381dc101ec470e09cc6489e83 and 697edc48f391cd6c2022c00111731ae204a343d5), demonstrating careful rule engineering and maintainability. Overall impact: higher detection accuracy, lower alert noise, faster triage, and stronger compliance coverage. Technologies/skills: YAML rule tuning, regex/keyword-driven detection, version-controlled changes, risk-scoring improvements, and cross-rule consistency.
September 2025 performance: Strengthened detection rules for sensitive employee communications in sublime-security/sublime-rules, delivering targeted enhancements to email attachment and phone-number detection to improve risk flagging while reducing false positives. Key changes included expanding keywords in attachment_sus_employee_doc.yml (payout, qualification, plan), correcting a file-name typo for compensation, and adding 2022–2023 date patterns; refining phone-number detection with standardized digit sets and flexible spacing; and introducing exclusions in paypal_invoice_abuse.yml to prevent legitimate settlement refunds from triggering alerts. These changes were implemented via two commits (4f38807c75333f5381dc101ec470e09cc6489e83 and 697edc48f391cd6c2022c00111731ae204a343d5), demonstrating careful rule engineering and maintainability. Overall impact: higher detection accuracy, lower alert noise, faster triage, and stronger compliance coverage. Technologies/skills: YAML rule tuning, regex/keyword-driven detection, version-controlled changes, risk-scoring improvements, and cross-rule consistency.
August 2025 monthly summary focused on expanding system coverage for fraud detection and host recognition across two repositories. Delivered concrete features that improve detection accuracy, reduce risk exposure, and support SOC workflows. Key business outcomes include broader host recognition, consolidated brand impersonation detection, and expanded financial threat coverage, all contributing to stronger risk management and customer trust.
August 2025 monthly summary focused on expanding system coverage for fraud detection and host recognition across two repositories. Delivered concrete features that improve detection accuracy, reduce risk exposure, and support SOC workflows. Key business outcomes include broader host recognition, consolidated brand impersonation detection, and expanded financial threat coverage, all contributing to stronger risk management and customer trust.
July 2025 monthly summary for sublime-security/sublime-rules focused on strengthening brand impersonation detection. Delivered targeted rule enhancements for Booking.com and expanded domain coverage for Capital One impersonation detection, increasing detection fidelity and reducing risk to brand trust with minimal latency impact.
July 2025 monthly summary for sublime-security/sublime-rules focused on strengthening brand impersonation detection. Delivered targeted rule enhancements for Booking.com and expanded domain coverage for Capital One impersonation detection, increasing detection fidelity and reducing risk to brand trust with minimal latency impact.
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