Ontar provides a Gen-AI powered platform that integrates internal security tool data with external threat analysis to enhance real-time cyber crisis management. This solution improves decision-making efficiency and collaboration among cybersecurity teams, addressing the challenges of managing multiple security tools and vendors during active cyber incidents.
Funding
Funding not disclosed
Founders
Product
Problem
Cybersecurity teams face challenges in managing the increasing volume and diversity of security tools and vendors during active cyber incidents. This complexity leads to inefficient decision-making, poor visibility, and limited collaboration, hindering effective real-time crisis management.
Solution
Ontar provides a Gen-AI powered platform designed to streamline and enhance cyber crisis management. The platform integrates data from internal security tools with external threat analysis, offering a unified view of ongoing cyber events. By leveraging natural language processing (NLP) for querying and a custom security dictionary, Ontar enables cybersecurity teams to quickly access actionable insights and improve collaboration. The SaaS platform aims to improve efficiency, provide full visibility, and facilitate complete collaboration, empowering organizations to manage cyber events more effectively in real time.
Target Audience
The primary target audience includes cybersecurity teams within organizations of all sizes that are struggling to manage the complexity of cyber incidents and improve their incident response capabilities.
Features
- Integration of internal security tool data with external threat analysis
- Gen-AI powered platform for intelligent cyber crisis management
- NLP query language for efficient data retrieval
- Custom security dictionary for improved understanding of security events
- Real-time collaboration tools for cybersecurity teams
- SaaS platform for easy deployment and accessibility
- Actionable insights derived from raw data
- Global threat metrics for comprehensive situational awareness