Claire Security
Scale Your SIEM & SOC Without Adding Headcount.
Claire Security is an AI-powered SIEM that automates the repetitive L1/L2 reasoning tasks that bottleneck your team. Give your senior analysts the air cover they need to focus on high-stakes mitigation, not alert triage.

The Threat Landscape Has Changed
Traditional SIEMs rely on static rules that sophisticated attackers easily evade. Your security team is overwhelmed, and threats are evolving faster than your defences.
Alert Fatigue
Thousands of alerts daily, but only a fraction are real threats. Your team wastes time on false positives.
24/7 Coverage Gap
Attacks don't stop at 5 PM. Your team can't maintain round-the-clock vigilance without burning out.
Evolving Threats
AI-powered attacks, zero-day exploits, and sophisticated APTs require detection beyond static rules.
An AI-Powered SIEM That Learns Your Environment
Proprietary Agentic Reasoning Loops & Local LLMs. Our SIEM doesn't just process text; we simulate analyst decision-making through dedicated cybersecurity models.
See our Technical Deep-Dive & Research Papers for the data science foundation.
- Continuous 24/7 monitoring across all connected systems
- Advanced pattern recognition beyond static rules
- Contextual threat intelligence for faster response
- Transparent investigation processes with full audit trails
How the reasoning model works
Claire Security uses an agentic reasoning loop: observe, hypothesise, gather evidence, and conclude - so every alert comes with clear, auditable logic.
- 1Observe
- 2Hypothesise
- 3Gather evidence
- 4Conclude
Building your own agentic SOC? Meet Claire Core.
Claire Core by ClaireChains is our cybersecurity expert model, now available as an API for builders. Purpose-trained for SIEM, SOAR, SOC workflows, and pen testing. Run it locally or in the cloud.
Latest news and analysis
All news →Transform Your SIEM & Security Operations
Organisations trust Claire Security to augment their security teams and reduce mean time to detection.
Automated analysis reduces investigation time from hours to minutes
Never miss a threat, even when your team is offline
Context-aware detection focuses on real threats
Figures based on ClaireChains internal measurements of Claire Security over six months at a large European enterprise. How we measured
FAQ
Frequently asked questions
What is Claire Security?
Claire Security is an AI-powered SIEM from ClaireChains, a French company based in Paris. It automates the repetitive L1/L2 reasoning that slows SOC teams down: triage, enrichment and correlation of alerts. Senior analysts then spend their time on high-stakes response instead of alert queues.
Can Claire Security run on-premise?
Yes. Claire Security supports on-premise and hybrid deployment. Sensitive raw data can stay on your own servers, under your control, while you still get AI-driven detection and reporting. This matters for regulated sectors and for laws such as Malaysia’s Cyber Security Act 2024.
How is Claire Security different from a traditional SIEM?
A traditional SIEM matches events against static rules, which skilled attackers learn to evade. Claire Security uses custom models trained on security data and an agentic reasoning loop: it observes, forms a hypothesis, gathers evidence and concludes. Every alert comes with reasoning an analyst can audit.
Does Claire Security replace security analysts?
No. It takes on the repetitive first and second line work, around the clock, so your team does not burn out on false positives. Analysts stay in control of decisions and high-stakes mitigation, with a full audit trail of what the AI did and why.
Which tools does Claire Security work with?
Claire Security connects to the tools you already run: email security (Abnormal, Check Point, Mimecast, Proofpoint, Sophos), EDR (CrowdStrike, SentinelOne, Microsoft), cloud platforms (AWS, Azure, GCP) and network security such as firewalls, IDS/IPS and proxies.
Ready to Transform Your SIEM & Security Operations?
See how Claire Security can augment your security team and reduce threat detection time.