Fact360 is a cyber-security platform that utilizes AI and unsupervised machine learning to analyze communication networks, identifying fraud, financial crime, and compliance irregularities within enterprises. By uncovering insider threats and anomalies without user-defined rules, Fact360 enhances the efficiency and accuracy of investigations and monitoring processes.
Funding
$607.2K 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
Enterprises face challenges in detecting insider threats, fraud, financial crime, and compliance irregularities within their communication networks due to the vast amount of data and the difficulty of identifying anomalous behavior without predefined rules. Traditional security solutions often fail to detect these threats, as malicious insiders can exploit their legitimate access and familiarity with the organization's security measures to avoid detection.
Solution
Fact360 is a cybersecurity platform that leverages AI and unsupervised machine learning to analyze communication networks and identify hidden risks. The platform uncovers "unknown unknowns" by detecting anomalies and exceptional activity without requiring user-defined rules or custom configurations. Fact360's technology analyzes various data formats, including emails, messages, PDFs, and voice recordings, to identify relevant individuals, documents, and events, significantly reducing the time and resources required for investigations. By monitoring human behavior and identifying potential threats before they materialize, Fact360 enables organizations to proactively prevent data breaches and compliance violations.
Target Audience
Fact360 targets enterprises across various sectors, including finance, legal, and iGaming, as well as law enforcement and legal teams, that require advanced capabilities for fraud detection, insider threat monitoring, compliance, and investigations.
Features
- Unsupervised machine learning algorithms to identify anomalies and exceptional activity without predefined rules
- Forensic analysis of communication traffic to detect subtle behavioral changes
- Network diagram generation to visualize key individuals and their communication patterns
- Natural Language Understanding (NLU) for contextualized content analysis and guided search capabilities
- Comprehensive entity extraction to isolate key intelligence and supportive information
- Integration with existing SIEM architecture for enhanced insider threat detection
- Ability to identify an individual's prestige within the organization while remaining GDPR compliant
- PreDISCOVERY+ module to reduce eDiscovery costs by up to 90%