October 30, 2024
Monad Community Bytes - October 2024
Monad Community Bytes 🎃
It’s been a busy month at Monad—we’ve opened the new version of Monad (🎉) in private beta for a select group of users! You can now stream massive volumes of logs at blazing fast speeds, transform data in-flight and conditionally route it to multiple destinations, all while optimizing cost.
If you’re tired of maintaining endless parsers, building pipelines, and facing surprise SIEM bills, we’ve got your back. Monad is building a platform that will reinvent data and log management for security—offering 50+ integrations, managed pipelines, real-time data transformation, and conditional data routing. We handle the heavy lifting so you can focus on detecting and stopping threats, not wrangling data.
If you're a detection engineer, vulnerability management professional, or a founder interested in trying out Monad, reach out to us product@monad.com!
Featured Read: Mitigating Time Stomping Risks
Time Stomping is a technique where attackers manipulate system timestamps to evade detection by security tools. This tactic can mislead incident analysis by making malicious actions appear to occur at different times. Using a tool like Monad, security teams can normalize logs to ensure consistent time-stamping and correlate multiple data sources to improve detection of time-based anomalies and preventing attackers from exploiting time discrepancies.
Read the full article on time stomping attacks here!
Data Engineering Blog Series – Part 4 Coming Soon!
Catch up on our first three posts in the Data Engineering for Cybersecurity series:
- Part 1: Understanding Security Data
- Part 2: Collection and Storage
- Part 3: Data Processing
Stay tuned for Part 4, where we'll dive deep on data transformation.
Podcast Spotlight: Detection Engineering Dispatch⚡
In September, we joined Alex Hurtado from Anvilogic to discuss log prioritization, data quality, ETL, and even Mezcal! Check out the episode on your favorite platform!
Join Our Slack Community!
If you’re a security practitioner or a founder working with data pipelines, log parsers, or detection and response, join our exclusive Slack community by messaging us at community@monad.com!
Have Feedback?
If you have any feedback on how to make these monthly digests more valuable or relevant to you, please reach out to us at feedback@monad.com!
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