Monad

Security has always been a data correlation problem. You get an authentication alert. Is this IP known? Is the user still employed? Does this match historical patterns? Is the infrastructure flagged in threat intel? After a decade in security engineering, I've burned countless hours manually enriching events. API calls to HR systems. Lookups against asset databases. Querying threat intel feeds. By the time I've built context to make a decision, the attacker has already moved. Most teams enrich data after it lands in the SIEM. That's the problem. Monad's enrichment engine correlates 175+ data sources during ingestion - before logs reach your SIEM. That authentication event arrives already enriched with IP reputation, user employment status, historical patterns, threat intel correlation, and asset context. No tool-hopping. No manual queries. Just high-fidelity alerts that tell you what matters. This is what cuts our MTTD and MTTR in half. Not better dashboards. Not more "visibility". Context at ingestion time. After a decade of cobbling together ETL pipelines and enrichment workflows, I can tell you that pipeline enrichments aren't a nice-to-have anymore. They've become table stakes for modern detection. Learn how Monad pipeline enrichments work here:https://bit.ly/3J9KNw9 Christian Almenar Darwin Salazar

💥BOOM... Most detection rules, SOAR playbooks, and AI agents are running on incomplete data. It creates all the downstream ailments we always hear about. Alert fatigue, false positives, and worst of all, undetected threats. We launched Pipeline Enrichments fix this. 175+ sources add context at pipeline speed—before events reach your SIEM. You can add multiple enrichments within a pipeline. Use them with our filtering and data transformation capabilities. Use the added context as logic for rule-based routing decisions etc. The possibilities are endless. Context in, better detections out. Faster MTTD/MTTR. Happier SOC. Angry bad actors. Hit me up if you'd like to see it in action! Read the full announcement here: https://lnkd.in/eKjDtRT8 #SIEM #Enrichments #SOC

When every alert looks the same, even the real ones blend in. Every detection rule depends on context — user, asset, risk, geo, intent. The earlier that context enters your pipeline, the faster your SOC gets to truth. The less context you have, the more you rely on bloated queries, manual correlation, incomplete SOAR playbooks, and post-hoc enrichment inside your SIEM — aka “the world’s most expensive joins.” Monad is solving this problem at the root by fixing the core architectural failure that has compounded over time. And we’re doubling down. We're launching the most comprehensive enrichment engine in security. Read that sentence again and stay tuned for tomorrow's announcement 👀 🔥 👉 In the meantime, read this post where I rant about the whole ordeal and probably spent too much time crafting: https://lnkd.in/e9cDxMQc #SIEM #Enrichment #SOC #DetectionEngineering

Logs tell you what happened. Enrichment tells you why it matters. Enrichment connects who did what, on what asset/service, potential impact, IP threat profile, user's recent activity, and why it all matters. Without that context, even the most advanced detections can miss subtle patterns. With it, teams can focus on high fidelity alerts, rather than hunting down false positives all day. The data to detect attacks is already in your environment. Enrichment brings it together so security teams can see the full picture, faster. In this post, we explore how pipeline enrichment transforms security data into clear signal that actually drives better, faster outcomes for your SOC. Read it here: https://lnkd.in/gEZBwJ34 #Enrichment #Cybersecurity #AI #DataEngineering

What did we ship last month? 🚀 🔀 21 new integrations including 17 for Google Workspace, Salesforce PubSub, and Auth0 Audit Log events 🔀 Improved Synthetic Data user experience to better support pipeline and data transformation testing 🔀 Intelligent Checkpointing to ensure exactly-once processing guarantees even during interruptions. Reliability is the name of the game. We also shipped several minor quality-of-life improvements to make the user journey and experience much more intuitive. The team somehow managed all of this in 3 weeks as we were all at our offsite for a full week. Huge kudos to our eng. team for continuing to deliver for our customers! ❤️🔥 Read our full monthly digest here: https://lnkd.in/etHksJna

I'll be speaking at this year's Cyber Marketing Con in Austin, TX! 🤠   My session will focus on how to craft technical content that resonates with, and brings value to your target audience.   Kudos to Cybersecurity Marketing Society, Gianna Whitver and co. for putting on such a stellar event year after year!   If you're in GTM, you won't want to miss the year's con.   Get your tickets here: https://lnkd.in/gU6kdjSV

At Splunk .conf this week? Make sure to connect with Darwin to hear the latest on ETL, SIEM, and SecOps!