Kazimieras Sadauskas
CEO
CBRX
The startup develops an AI-based cybersecurity platform that utilizes machine learning algorithms to analyze the cyber threat landscape and generate real-time threat alerts. This technology enables organizations to proactively identify and respond to emerging cyber threats, enhancing their overall security posture.
- Artificial Intelligence
- Cybersecurity
- Enterprise Software
- Software Only
Updated 1 month ago
Funding
Raised to date
€815KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Est. $888.4Kacross 2 rounds
S€540K · Pre-Seed
Announced Oct 2025 · from article date
Disclosed cumulative: $888.4K
2/2
RoundDateAmountValuationInvestors
Founders
Product
Problem
Security Operations Centers (SOCs) face challenges in efficiently analyzing and responding to the increasing volume and complexity of cybersecurity incidents. Manual incident analysis is time-consuming, requiring analysts to sift through vast amounts of data to identify and mitigate threats. This can lead to delayed response times and increased risk of successful cyberattacks.
Solution
CBRX provides a cloud-based SOC automation platform that leverages AI and data science to streamline incident analysis and response. The platform automates the tedious tasks associated with incident handling, freeing up analysts' time to focus on strategic security measures. CBRX's solution enriches incident data, accelerates incident analysis processes, and facilitates proactive identification and mitigation of security risks. By automating incident reporting and ticketing, CBRX enables cybersecurity teams to operate with increased efficiency and precision, reducing incident resolution times and improving overall security posture.
Target Audience
CBRX targets Security Operations Centers (SOCs) and cybersecurity teams seeking to automate incident analysis, improve efficiency, and enhance their overall security posture.
Features
- Automated incident analysis to reduce analyst time spent on manual tasks
- Cloud-based analytics platform for efficient incident data processing and insight generation
- Incident data enrichment to provide context and accelerate analysis
- Automated incident reporting and ticketing for streamlined workflows
- Integration with existing security infrastructure for seamless implementation
- Dark web monitoring to identify compromised credentials and potential data breaches
- Typosquatting monitoring to detect and prevent phishing attempts using lookalike domains
- Automated cyber threat intelligence monitoring to stay updated on the latest threats