AI SIEM
Our client - a Water Management company - is a dedicated water authority for residents, businesses, nature, and the environment. They take an integrated approach to ensuring sufficient surface water of high quality and protecting the region against flooding.
PURPOSE
Our client got accustomed to using a traditional SIEM solution which was slow, hard to scale, and didn't have automation in place — leading to delayed threat detection and increased risk.
Their cybersecurity teams wanted to respond faster and work more efficiently. Instead of us attempting to automate parts of their workflows, we offered to completely replace the existing SIEM solution with our Raven - AI SIEM module.
IMPACT
- 18 data sources integrated, connected to over 500 hosts. Using our AI SIEM led to a reduction of our client's data processing and analysis costs by 35%.
- Utilizing Artificial Intelligence for handling alert investigations, the process has become significantly more efficient. This reduces time spent on analysis allowing teams to focus on faster remediation. Biggest win:
- Quicker response times.
- Stronger overall security posture.
MISSION
AUTOMATION WITHIN SECONDS
Our AI-powered SIEM helped this client stay ahead of threats by using machine learning and automation to spot alerts faster and more accurately. It sorts through huge amounts of data in real time to catch anything unusual, cut down on false alarms, and helped their analysts respond quickly, so they stay focused on what matters most.
AI ASSISTANT
The AI Assistant made it easier for their team to explore data and respond to incidents. Since it's built into the AI SIEM module, they could use natural language to interact with alerts, tools, and data. It helped them quickly make sense of complex information and take action faster.
PROMPT DETECTIONS IN AI SIEM
Our AI SIEM module goes beyond static rules by analyzing behavior and known threats to catch what traditional SIEMs might miss.
Even better, the client can create detections using plain language, no complex rules or coding required.