October 2025 performance summary focused on strengthening data leakage prevention and domain trust signals across two Sublime Security repos. Delivered expanded DLP rules for outbound data including multi-country coverage and Australian bank details, refined extortion detection to improve coverage, and enriched domain/subdomain trust lists to improve delivery safety and reduce false positives. These efforts tightened leakage prevention, accelerated incident detection, and improved operational governance.

September 2025 monthly summary for Sublime Security engineering work focusing on detection rule development, accuracy improvements, and maintainability. Delivered multi-brand impersonation and credential phishing defenses, refined BEC reconnaissance detection, and maintained rule metadata. Updated static data sources to keep protections current, enabling faster threat response and lower user friction.

Performance-focused monthly summary for 2025-08. Key deliverables across two Sublime Security repos strengthened email security posture and improved deliverability. Repositories: sublime-security/static-files and sublime-security/sublime-rules. Key features delivered: - Update High-Trust Sender Root Domains List (sublime-security/static-files): added a new domain to high_trust_sender_root_domains.txt to recognize additional trusted senders, improving security and deliverability. Commit: acc9fe03fea41d28c3a12846eaab6b3bb1d8c399. - Email security detection rule enhancements (sublime-security/sublime-rules): group of commits improving phishing, impersonation, and PayPal invoice abuse detection, and adjusting related configuration for improved accuracy and resilience. Commits: 0a3697a9fe514d1c9ac39c2fedbefa95ed4e4ec6; 9ffcb09d356e9829087d09724125fc45d2741cd1; 1c824349ebebef2e62d55a8cccf39397e447a889; a87f35459cb72610ba1556904abed9ab57adc491. Major bugs fixed / improvements: - Refined VIP impersonation detection for VIP recipients to reducefalse positives and improve risk coverage (commit 9ffcb09d356e...). - Improved PayPal invoice abuse parsing to catch abuse more reliably (commit 1c824349ebebef2e62d55a8cccf39397e447a889). - Introduced new suspicious-email rule and updated related configurations to enhance accuracy and resilience (commit 0a3697a9fe514d1c9ac39c2fedbefa95ed4e4ec6; a87f35459cb72610ba1556904abed9ab57adc491). - Updated spam-related rules including spam_image_hidden_element to mitigate spoofing and abuse vectors (commit a87f35459cb72610ba1556904abed9ab57adc491). Overall impact and accomplishments: - Strengthened security boundary by expanding trusted sender recognition and tightening detection rules, reducing risk of spoofing, phishing, and impersonation. - Improved deliverability by accurately identifying legitimate high-trust senders and reducing false positives in threat detection. - Achieved better operational resilience and maintainability through consolidated cross-repo changes and traceable commits. Technologies/skills demonstrated: - YAML-based rule configuration and domain list management - Threat-detection engineering and rule tuning for phishing, impersonation, and payment abuse scenarios - Version control discipline with clear commit messages and cross-repo collaboration

July 2025 monthly summary for sublime-security/sublime-rules: Delivered notable improvements to inbound email protection with extended detection rules for phishing/BEC and Xero-related abuse, alongside targeted documentation cleanup. The work enhances proactive risk mitigation and operational readiness while maintaining a clean, auditable change history.

In 2025-06, delivered substantive security rule and data updates across Sublime Security's email protection stack. Key features included Threat Detection Rule Enhancements across phishing, credential phishing, suspicious Gmail mailers, PDF/link delivery threats, OCR-based phishing signals, and attachment-based risk, with six commits refining YAML rules and adding a credential phishing rule for email delivery failure impersonation. Also updated detection for multi-stage delivery with Adobe-hosted PDFs, and strengthened attachment-based risk signals. In addition, performed a data-only update to broaden high-trust sender roots, increasing legitimate sender coverage without changing logic. These changes improve filtering accuracy, speed of detection, and overall defense-in-depth, reducing user exposure to malicious emails while maintaining safe policy behavior.

May 2025 monthly security feature delivery strengthened phishing detection, impersonation risk mitigation, and domain verification across the Sublime security rule engine and domain-verification assets. Delivered four focused rule enhancements with explicit commits, improving detection accuracy and trust boundaries without introducing regressions.

April 2025 performance summary focused on strengthening phishing and impersonation defenses and refining file-type detection rules across two repositories. Delivered new detection rules, improved accuracy, and updated trusted sender domains to reduce risk exposure while enabling faster triage and higher-quality security signals.

March 2025 monthly performance summary for security work across sublime-security/sublime-rules and sublime-security/static-files. Focused on delivering feature enhancements to phishing detection, email metadata analysis, and QR code detection, plus an allowlist improvement for trusted senders. Changes were implemented through YAML-rule updates and data-file adjustments, enabling stronger threat detection and better risk posture.

February 2025 monthly summary for Sublime Security engineering. Delivered substantial rule-based detections across two repositories, focusing on brand impersonation, credential phishing, extortion, impersonation across organizational contexts, and QR-code phishing. Strengthened detection coverage for DocuSign/Adobe branding, OneDrive impersonation, supplier payments and HR contexts, as well as high-trust authentication robustness. The work improved business risk posture by broadening detection coverage, accelerating incident response readiness, and enabling proactive risk mitigation.

January 2025 performance summary: Delivered targeted detection-rule enhancements across two repositories, expanding coverage for phishing, impersonation, and XSS while reducing false positives. Key features delivered included DocuSign Phishing and Impersonation Rule Enhancements; General Phishing and False-Positive Reduction Rules; General Impersonation Detection Enhancements; WordPress XSS Detection Rule; and PayPal domain trust list expansion. Also completed clarity improvements for Google-related spam rule descriptions. Overall impact: stronger threat detection, lower noise across signals, and faster triage. Technologies/skills demonstrated: YAML-driven rule authoring, cross-repo collaboration, and maintenance of trust-domain lists for legitimate senders.

December 2024 monthly summary: Delivered security feature work and rule enhancements across two repositories to strengthen email trust, phishing detection, and impersonation protection. The work reduced risk exposure and improved detection coverage while lowering operational noise. Key features delivered: - Trusted domain list extension in sublime-security/static-files: added sae.org to high_trust_sender_root_domains.txt to broaden trusted domain coverage and improve trust decisions for emails from this domain. (commit 0f36c4b1e4a87f7404c6411c762405e6dbb6c8b8) - Fraud and phishing detection rule enhancements in sublime-security/sublime-rules: consolidated improvements including expanded PayPal invoice abuse rule with more domains/keywords and NLU classification for callback scams; improved handling of obfuscated text in emails; reduced false positives by lowering the maximum number of links and added a targeted exclusion to prevent legitimate Planner notifications from being flagged. (commits 47b474c9867c0fe9c49c77741d583f4eee4de35c; 34ce2e70a1eb15c67fe8dd1df47f29c0bfa9614f; b23155072f27fb6f3da9f782792fce13bf1ad95c) - New detection capability for lookalike-domain phishing (BEC/credential theft) in sublime-security/sublime-rules: Introduced a rule that flags messages using lookalike domains (unregistered or recently registered) in combination with suspicious language indicative of BEC or credential theft. (commit d7e301360cfc2f6398250b0da120dd588382865c) Major bugs fixed / improvements: - Reduced false positives by lowering link thresholds and applying a Planner notification exclusion, and improved handling of obfuscated text to increase detection accuracy. Overall impact and accomplishments: - Strengthened protection against phishing, impersonation, and credential theft with broader domain coverage and more robust detection signals. - Improved operator efficiency by reducing noise and focusing attention on high-risk messages, supporting faster incident response. Technologies/skills demonstrated: - YAML-based rule configuration and lookalike-domain detection logic. - Integration of NLU-based classification for scam detection. - Domain reputation management and rule-driven threat coverage across multiple repositories.

November 2024 performance highlights: Delivered multi-repo security rule enhancements across sublime-rules and maintained data integrity in sublime-static-files. Implemented impersonation protection consolidation, expanded phishing and credential theft detection with OCR and NLU enhancements, improved spam and unwanted communications detection, and added non-RFC ICS risk detection. Fixed and refined security data lists to improve threat modeling accuracy. These efforts collectively strengthen customer protection against impersonation, phishing, credential theft, spam, and scheduling-related risks while reducing false positives and increasing detection precision.

October 2024 monthly summary for sublime-security/sublime-rules focused on improving detection quality and maintainability through targeted rule refinement in credential theft detection.