Der Azubi hat einen #Graylog Server zum Sammeln und Auswerten der ganzen Firewall Logs aufgesetzt. Hat er echt gut hinbekommen. 👍
Der Azubi hat einen #Graylog Server zum Sammeln und Auswerten der ganzen Firewall Logs aufgesetzt. Hat er echt gut hinbekommen. 👍
@mensrea @elena honestly, I self-host #splunk for my own needs.
I’m using it at home (free 500MB/day license) and at work (old enterprise perpetual license) for more than 12 years now.
It’s FREAKING good. I can’t find a decent contender in the #FOSS world for the enterprise version. For the free tier (striped down version without user profile, alerting, etc.), things like #graylog or #wazuh can be great alternatives.
Still, deployment of Splunk is super easy.
Grateful and humbled. Another RSA in the books, great conversations, and new hardware to show for it.
Thanks to all who stopped by and chatted with us.
Dank #elasticsearch und #graylog geht uns der Plattenplatz aus. Wir haben pro Tag etwa 60GB pro #rechenzentrum
Macht macht man also? Neue Platten kaufen. Wären in unserem Fall: 33 x 3TB. Kosten aktuell: 100.000€ .. und vermutlich wären das die letzten Platten, die wir 2026 bekommen .. zu einem Preis, den man noch "normal" nennen darf. Angebot endet morgen um 23:59 ...
Ich bin gespannt, ob die Firma das genehmigt.
Security analysts face an impossible challenge: finding the one suspicious signal hidden inside billions of normal events.
That’s why anomaly detection with machine learning matters. By learning behavioral baselines, ML can surface:
- unusual logins
- lateral movement
- zero-day malware behaviors
- insider risk patterns
High-fidelity detection without the noise.
Click here: https://graylog.org/post/anomaly-detection-with-machine-learning-to-improve-security/
#CyberSecurity #MachineLearning #Graylog

Learn how machine-learning–driven anomaly detection enhances security and performance by identifying behavioral deviations in real time. Explore how enriched logs, behavioral baselines, and automated scoring deliver high-fidelity insights and faster response.

Learn how machine-learning–driven anomaly detection enhances security and performance by identifying behavioral deviations in real time. Explore how enriched logs, behavioral baselines, and automated scoring deliver high-fidelity insights and faster response.