Monad Community Bytes - January 2025

Monad Community Bytes · min read

Monad Community Bytes - January 👋

Howdy! I hope your year's been off to a great start! Lots to be excited about at a meta level these days. AI innovation continues at breakneck speeds while cybersecurity is still very much a top global and national security concern.

As we continue maturing our platform and serving more users, it's only become more evident that security teams need data ETL capabilities to succeed in the coming age. Data bloat is not only expensive, but it's noisy and gets in the way of actual security work.

ETL done right puts the power back in the hands of practitioners to handle data their way. Without it, SIEMs and security tools become data swamps.

Security teams do not want to build and maintain data pipelines, parsers, and integrations, yet it's a necessary evil to gain control and clarity across an environment.

That said, let's jump into what we've been up to over the past month!

What's New 🎉

Our engineering and product teams continue rolling out new features and integrations at lightning speed🔥. Over the past month, we've rolled out:

10 new integrations including:
- Azure Activity Logs
- GitHub Audit Logs
- Slack Users and Groups
- Tines Event Logs
- Microsoft Entra ID
- and more
Test connection support for all inputs
- This capability enables users to validate their config settings and credentials for any given input connector.
- This is key for a) ensuring users can quickly get started ingesting data and b) preventing any downstream errors prior to deployment.

Read our January's full product release notes here.

If you're interested in trying Monad out or would like a demo, reach out to us at product@monad.com!

Why maintaining data cleanliness is essential to cybersecurity

cleaning data in a pipeline bits and bytes flowing-1

In an ideal world, all security findings, alerts, logs and other telemetry would be in the same schema, following the same nomenclature for key fields. However, of course, this is not the case.

Our industry suffers because the lack of data quality in many security solutions. Lack of completeness (i.e., missing fields), timeliness, consistency, and uniformity put security teams at a disadvantage. This could be blamed on legacy systems, differing use cases, edge cases and many other variables.

Read more here to learn why data cleanliness is taking the spotlight in security in 2025.

Security silos leave a door open for hackers

While investments in cybersecurity continue to climb, so have the number of breaches (up 75% YoY as of Q3 '24). What are the leading causes for this?

In this post, Jonathan Fischbein (CISO @ Checkpoint Software) takes a look at how security silos across tools and teams lead to blind spots.

Join Our Slack Community!

If you’re a security practitioner working with data pipelines, log parsers, or detection and response, join our exclusive Slack community by messaging us at community@monad.com!