AI-Powered SIEM & Threat Detection Platform
An AI-powered SIEM built on custom AI models trained specifically for cybersecurity. Continuous 24/7 monitoring that adapts faster than attackers evolve.
Core SIEM Technology & Architecture
Claire Security leverages state-of-the-art LLMs trained on real-world security incidents, powered by a custom-built agentic AI pipeline for security applications.
Continuous Threat Monitoring
Monitor all connected security systems 24/7 with automated response capabilities. Never miss a threat, even when your team is offline.
Advanced Pattern Recognition
Go beyond static rules with AI that identifies sophisticated attack techniques. Detect novel threats that traditional SIEMs miss.
Intuitive Security Dashboard
Comprehensive visualisation of your entire security posture. Filter by time, severity, or threat category for instant insights.
Transparent Investigations
Full audit trails with transparent investigation processes. Complete regulatory compliance with detailed reasoning chains.
Intelligent Integration
Connect to the security tools you already use. Enhance your current infrastructure without replacing it.
Automated Reporting
Automated security reporting and alerts with contextual information. Faster response times with actionable intelligence.
Custom AI Models for Your SIEM, Not Generic Wrappers
Claire Security is built on custom models trained specifically on cybersecurity data. Unlike generic LLM wrappers, our models understand threat patterns, attack vectors, and security anomalies.
- Trained on 144,000+ security incidents and threat patterns
- 18-49% more token-efficient than generic models
- ReAct-style reasoning for multi-step threat analysis
- Continuous learning from your environment
Performance Benchmarks
Figures based on ClaireChains internal measurements of Claire Security over six months at a large European enterprise. How we measured
Works With Your Existing Tools
Claire Security integrates with your existing security infrastructure, establishing bidirectional connections for comprehensive data ingestion and automated response.
Email Security
Abnormal, Check Point, Mimecast, Proofpoint, Sophos & more
EDR Solutions
CrowdStrike, SentinelOne, Microsoft
Cloud Platforms
AWS, Azure, GCP
Network Security
Firewalls, IDS/IPS, Proxies
FAQ
Frequently asked questions
How does the Claire Security reasoning loop work?
Each alert goes through four steps that mirror an experienced analyst: observe the event, form a hypothesis, gather evidence from connected systems, and reach a conclusion. The full chain of reasoning is stored with the alert, so every decision can be reviewed and audited.
What AI models does Claire Security use?
Claire Security runs custom models trained on cybersecurity data, including more than 144,000 security incidents and threat patterns. They build on the Datarus-R1 research, which trains on complete analytical trajectories rather than isolated question and answer pairs.
Are Claire Security investigations auditable?
Yes. Every investigation keeps a full audit trail with the reasoning chain behind each conclusion. Teams can show regulators and auditors how an alert was handled, which supports compliance reporting.
How were the performance figures measured?
They come from ClaireChains’ internal measurements over six months in the SOC of a large European enterprise, compared with the same team before it used Claire Security. Our methodology page defines each figure and explains its limits; the results have not been independently audited.
Experience the Power of Custom AI
See how Claire Security's custom models can transform your security operations.
Request Demo