Resources — Monad

Powering the Future of Security

All things Monad — blogs, product updates, newsletters, podcasts, and more, all in one place.

Valerie Worman

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March 16, 2026

Customer Story: Upstart

From 1.5 weeks to minutes per integration

Valerie Worman

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March 16, 2026

Customer Story: Robinhood

From Pipeline Maintenance to Threat Hunting

Blog

A Security Field Guide to AI Audit Trails, Now on Amazon

Darwin Salazar

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October 28, 2026

A Security Field Guide to AI Audit Trails, Now on Amazon

Running With Scissors: Running Observable AI Agents on OpenShell

Matt Jane

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October 26, 2026

Running With Scissors: Running Observable AI Agents on OpenShell

Claude Cowork Logs: What’s Emitted, Detection Opportunities, and the Gaps Between Them

Darwin Salazar

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October 22, 2026

Claude Cowork Logs: What’s Emitted, Detection Opportunities, and the Gaps Between Them

AI Audit Trails and Gatsby fits: Monad at BSides NYC 2026

Darwin Salazar

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October 20, 2026

AI Audit Trails and Gatsby fits: Monad at BSides NYC 2026

Build and Operate Security Data Pipelines with AI

Darwin Salazar

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October 13, 2026

Build and Operate Security Data Pipelines with AI

Security Data Lake vs SIEM: When to Use Each (and When to Use Both)

Valerie Worman

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September 23, 2026

Security Data Lake vs SIEM: When to Use Each (and When to Use Both)

Data Engineering for Cybersecurity

Data Engineering for Cybersecurity, Part 5: Enrichment

Darwin Salazar

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April 8, 2025

Data Engineering for Cybersecurity, Part 5: Enrichment

Data Engineering For Cybersecurity, Part 4: Data Transformation

Darwin Salazar

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November 21, 2024

Data Engineering For Cybersecurity, Part 4: Data Transformation

Data Engineering for Cybersecurity, Part 3: Data Processing

Darwin Salazar

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June 20, 2024

Data Engineering for Cybersecurity, Part 3: Data Processing

Media

Hydrolix Partners with Monad to Give Security Teams a Direct Path from Raw Telemetry to Full-Fidelity, Highly Efficient Security Data Layer

Christian Almenar

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July 30, 2026

Hydrolix Partners with Monad to Give Security Teams a Direct Path from Raw Telemetry to Full-Fidelity, Highly Efficient Security Data Layer

AI SOC LIVE: Fix Detection Gaps at the Source with Better Data

Darwin Salazar

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July 21, 2026

AI SOC LIVE: Fix Detection Gaps at the Source with Better Data

From Hacker to Head of Growth: The Truth About AI in Cybersecurity

Darwin Salazar

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February 27, 2026

From Hacker to Head of Growth: The Truth About AI in Cybersecurity

The backbone for
security telemetry.

Effortlessly transform, filter, and route your security data. Tune out the noise and surface the signal with Monad.

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Powering the Future of Security

Customer Story: Upstart

Customer Story: Robinhood

Blog

A Security Field Guide to AI Audit Trails, Now on Amazon

Running With Scissors: Running Observable AI Agents on OpenShell

Claude Cowork Logs: What’s Emitted, Detection Opportunities, and the Gaps Between Them

AI Audit Trails and Gatsby fits: Monad at BSides NYC 2026

Build and Operate Security Data Pipelines with AI

Security Data Lake vs SIEM: When to Use Each (and When to Use Both)

Data Engineering for Cybersecurity

Data Engineering for Cybersecurity, Part 5: Enrichment

Data Engineering For Cybersecurity, Part 4: Data Transformation

Data Engineering for Cybersecurity, Part 3: Data Processing

Media

Hydrolix Partners with Monad to Give Security Teams a Direct Path from Raw Telemetry to Full-Fidelity, Highly Efficient Security Data Layer

AI SOC LIVE: Fix Detection Gaps at the Source with Better Data

From Hacker to Head of Growth: The Truth About AI in Cybersecurity

The backbone for security telemetry.

The backbone for
security telemetry.