From Alert Fatigue to Agentic Response: How Workflows and Agent Builder Close the Loop
Attempting to chase individual alerts is a losing strategy. To succeed, we have to move beyond simple automation scripts and into the era of Agentic AI.
Agentic Frameworks Summary
Agentic systems require security teams to balance autonomy with alignment, ensuring that AI agents can act independently while remaining goal-consistent and controllable .
How AI and contextual search enhance defence cybersecurity
Contextual search brings clarity, speed, and insight to defence security teams
Elastic changes the SIEM game with AI-driven security analytics
Learn more about Elastic's AI-driven security analytics
How to achieve full-spectrum financial risk detection with AI and unified data
Financial services can’t rely on manual review alone. Discover how unified data and explainable AI are helping firms detect risk, reduce cost, and stay ahead of evolving regulations.
Using LLMs and ESRE to find similar user sessions
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 dedicated some time to examine sessions that shared similarities. These similar sessions can subsequently aid the analysts in identifying related suspicious activities.
Using LLMs to summarize user sessions
In this publication, we will talk about lessons learned and key takeaways from our experiments using GPT-4 to summarize user sessions.
Detect domain generation algorithm (DGA) activity with new Kibana integration
We have added a DGA detection package to the Integrations app in Kibana. In a single click, you can install and start using the DGA model and associated assets, including ingest pipeline configurations, anomaly detection jobs, and detection rules.
Automating the Security Protections rapid response to malware
See how we’ve been improving the processes that allow us to make updates quickly in response to new information and propagate those protections to our users, with the help of machine learning models.
Detecting Living-off-the-land attacks with new Elastic Integration
We added a Living off the land (LotL) detection package to the Integrations app in Kibana. In a single click, you can install and start using the ProblemChild model and associated assets including anomaly detection configurations and detection rules.