The startup develops a cybersecurity device that utilizes machine learning algorithms to detect and classify anomalies in network traffic, providing targeted responses to critical threats. This technology protects small and medium enterprises, industries, and public administrations from cyber-attacks, ensuring the security of local area networks, cloud infrastructures, and industrial systems.
Funding
$350K raised to dateRaised 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.
Founders
Product
Problem
Small and medium-sized enterprises (SMEs), industries, and public administrations face increasing cyber threats targeting their local area networks, cloud infrastructures, and industrial systems. Traditional security solutions often fail to detect sophisticated attacks, including lateral movements, ransomware, and data exfiltration attempts, requiring specialized expertise to manage and maintain.
Solution
LECS offers a plug-and-play cybersecurity device that provides comprehensive network protection without requiring extensive configuration or specialized IT knowledge. The device analyzes network traffic, internal movements, and external communications to detect anomalies in real-time. Upon detecting a threat, LECS classifies it based on severity and automatically implements a modulated response, up to a patented energetic air-gap measure, to isolate and neutralize the attack. Its multi-level security engine leverages AI algorithms, including Specto for real-time threat detection, Tiresia for predictive threat analysis, and Raises for automated countermeasures, ensuring continuous and adaptive protection against evolving cyber threats.
Target Audience
The primary target audience includes small to medium-sized enterprises (SMEs), industrial organizations, and public administrations seeking a simple, automated, and effective cybersecurity solution to protect their networks and critical assets.
Features
- Plug & Play deployment for immediate protection without complex configuration
- Zero-knowledge architecture that analyzes network traffic passively, ensuring privacy and operational continuity
- Multi-level security engine with Specto, Tiresia, and Raises AI algorithms for comprehensive threat detection and response
- Patented energetic air-gap technology for physical-layer (OSI Layer 0) isolation of compromised networks
- Real-time threat detection and classification based on anomaly analysis and behavioral patterns
- Integration with SIEM systems for enhanced security monitoring and incident response
- Blockchain-validated logs for tamper-proof security auditing
- Support for IT, OT, and IoT devices, covering a wide range of network assets
- Remote alerting via email/app notifications for immediate incident awareness