PRE Security provides a generative AI-driven SecOps platform that utilizes predictive analytics and the CyberLLM architecture to enhance threat detection and response capabilities. By enabling organizations to anticipate and prevent cyber incidents through real-time data analysis and multi-dimensional correlations, PRE Security significantly improves operational efficiency in cybersecurity management.
Funding
$2M 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
Traditional security operations centers (SOCs) rely on rigid, deterministic workflows and complex parsers, making it difficult to ingest diverse data types and detect novel threats. Existing security information and event management (SIEM) and extended detection and response (XDR) solutions often fall short in providing comprehensive threat detection and proactive prevention capabilities.
Solution
PRE Security offers a generative AI-driven SecOps platform built on the CyberLLM architecture to streamline workflows and enhance threat detection. The platform ingests any type of data without complex parsers, enabling seamless correlation across all data sources. By utilizing generative XDR detections and predictive analytics, PRE Security identifies unknown threats and anticipates potential cyber breaches, vulnerabilities, and risks. The platform's SOCGPT technology and virtual SOC Assistant automate triage, prioritization, response, and reporting, empowering security teams to make informed decisions and proactively prevent incidents.
Target Audience
The primary customers are enterprises, managed security service providers (MSSPs), and value-added resellers (VARs) seeking to enhance their security operations with generative AI and predictive analytics.
Features
- Parserless data ingestion for simplified data normalization and correlation
- Generative XDR for detecting novel and unknown threats
- Predictive analytics using the CyberLLM to identify potential breaches and vulnerabilities
- SOCGPT technology for natural language interaction with security data
- Virtual SOC Assistant for automated triage, prioritization, and response
- Multi-dimensional alerts with natural language alert signatures for enhanced context
- Real-time risk assessment and anomaly detection