Accelerating Elastic detection tradecraft with LLMs
Learn more about how Elastic Security Labs has been focused on accelerating our detection engineering workflows by tapping into more generative AI capabilities.
Aggregating 7536 articles from trusted cybersecurity sources
Learn more about how Elastic Security Labs has been focused on accelerating our detection engineering workflows by tapping into more generative AI capabilities.
In our previous article, we explored using the GPT-4 Large Language Model (LLM) to condense Linux user sessions. In the context of the same experiment, we de...
In this research publication, we'll learn about upcoming improvements to the Windows Code Integrity subsystem that will make it harder for malware to tamper ...
Online security is constantly evolving, and thus we are excited to announce the publication of MRSP version 2.9, demonstrating that we are committed to keep ...
In this article, we'll show you how we contextualize rules and events, and how you can leverage call stacks to better understand any alerts you encounter in ...
In this publication, we will talk about lessons learned and key takeaways from our experiments using GPT-4 to summarize user sessions.
Bring Your Own Vulnerable Driver (BYOVD) is an increasingly popular attacker technique whereby a threat actor brings a known-vulnerable signed driver alongsi...
Elastic Security Labs dives deep into the recent evolution of the BLISTER loader malware family.
This research reveals insights into some of the large-scale malware analysis performed by Elastic Security Labs, and complements research related to the Deto...
Watch out! We’ve recently discovered a variant of RUSTBUCKET.
Elastic Security Labs observes that the threat behind SIESTAGRAPH has shifted priorities from data theft to persistent access, deploying new malware like NAP...
Explore JOKERSPY, a recently discovered campaign that targets financial institutions with Python backdoors. This article covers reconnaissance, attack patter...
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