
Zaynah Smith-Dasilva contributed to the panther-labs/panther-analysis repository by developing and refining security detection rules, runbook documentation, and authentication controls across multi-cloud environments. She standardized Markdown runbooks and YAML configurations to improve readability and maintainability, while implementing Python-based threat detection for AWS, Azure, GCP, and third-party integrations. Her work included enhancing base64 validation, optimizing email threat detection using Proofpoint data, and introducing authentication hardening for Axonius integrations. By focusing on robust data validation, security monitoring, and clear documentation, Zaynah delivered features that reduced alert noise, improved incident response, and strengthened the overall security posture of the codebase.
March 2026 monthly summary for panther-labs/panther-analysis with a focus on security hardening of the authentication pathway. Key delivery includes robust Base64 validation to reject non-ASCII decoded strings and an Axonius integration enhancement to detect excessive login failures (brute-force) to harden authentication controls. The work was delivered with a focused commit (bfb9f48539b6cd9dfd9d3259d2869cb215dda733) and involved collaboration with the automation bot to ensure code quality and CI validation.
March 2026 monthly summary for panther-labs/panther-analysis with a focus on security hardening of the authentication pathway. Key delivery includes robust Base64 validation to reject non-ASCII decoded strings and an Axonius integration enhancement to detect excessive login failures (brute-force) to harden authentication controls. The work was delivered with a focused commit (bfb9f48539b6cd9dfd9d3259d2869cb215dda733) and involved collaboration with the automation bot to ensure code quality and CI validation.
February 2026: Pantera-analysis monthly summary for panther-labs/panther-analysis. Delivered notable security analytics enhancements and stability improvements across Windows/macOS monitoring, focusing on email threat detection, metadata enrichment, and scalable session handling. Emphasis on delivering business value through improved detection accuracy, reduced false positives, and more robust logging.
February 2026: Pantera-analysis monthly summary for panther-labs/panther-analysis. Delivered notable security analytics enhancements and stability improvements across Windows/macOS monitoring, focusing on email threat detection, metadata enrichment, and scalable session handling. Emphasis on delivering business value through improved detection accuracy, reduced false positives, and more robust logging.
January 2026 monthly summary for panther-analysis: Key features delivered across GSuite alert stabilization, password expiration policy enhancements, and broad security detection rule improvements across AWS, OpenAI, Salesforce, and base64; Zscaler default values refinement; and satellite-network login rule enhancement. These deliverables improve detection fidelity, reduce alert noise, and strengthen administrative clarity and security posture.
January 2026 monthly summary for panther-analysis: Key features delivered across GSuite alert stabilization, password expiration policy enhancements, and broad security detection rule improvements across AWS, OpenAI, Salesforce, and base64; Zscaler default values refinement; and satellite-network login rule enhancement. These deliverables improve detection fidelity, reduce alert noise, and strengthen administrative clarity and security posture.
Month 2025-12 — Delivered key feature enhancements to panther-analysis runbooks and threat-detection rules, with a focus on readability, consistency, and real-time protection. Implemented block-style syntax and standardized line endings across AWS CloudTrail, AWS EKS, Azure Failed SignIns, Cisco Umbrella DNS, and GCP audit rules; introduced a new AWS WAF rule to detect ReactJS Remote Code Execution attempts via HTTP body. No major bugs fixed this period; emphasis on quality improvements and maintainable rule sets. The work enhances incident response readiness, reduces operator error, and strengthens detection coverage across multi-cloud environments.
Month 2025-12 — Delivered key feature enhancements to panther-analysis runbooks and threat-detection rules, with a focus on readability, consistency, and real-time protection. Implemented block-style syntax and standardized line endings across AWS CloudTrail, AWS EKS, Azure Failed SignIns, Cisco Umbrella DNS, and GCP audit rules; introduced a new AWS WAF rule to detect ReactJS Remote Code Execution attempts via HTTP body. No major bugs fixed this period; emphasis on quality improvements and maintainable rule sets. The work enhances incident response readiness, reduces operator error, and strengthens detection coverage across multi-cloud environments.
Concise monthly summary for 2025-11 focusing on the Panther Analysis project. Delivered a comprehensive Runbook Markdown Syntax Refresh Across All Rule Categories, standardizing formatting and readability for GCP Kubernetes, GitHub, Gsuite, Microsoft Exchange, Okta, Snyk, and multiple AWS policies. The effort consolidated runbook syntax across 12 rule categories, enabling more consistent policy documentation and faster maintenance.
Concise monthly summary for 2025-11 focusing on the Panther Analysis project. Delivered a comprehensive Runbook Markdown Syntax Refresh Across All Rule Categories, standardizing formatting and readability for GCP Kubernetes, GitHub, Gsuite, Microsoft Exchange, Okta, Snyk, and multiple AWS policies. The effort consolidated runbook syntax across 12 rule categories, enabling more consistent policy documentation and faster maintenance.

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