At Verum Forge our mission is to lead innovation in the realm of AI analysis and automation through intelligent data first solutions.

Leveraging cutting-edge artificial intelligence technologies, we empower organizations to streamline operations, enhance decision-making processes, and unlock unprecedented insights from their data.

ARX’s advanced proprietary AI threat detection solution automates key processes of risk analysis. Utilizing advanced machine learning models to remove human bias from data assessment we extract the actionable insights buried in disparate unstructured data sources into a comprehensive single interface that produces ranked risk and threat scores in a fraction of the time possible by traditional human analysis. ARX automates the process of finding who or what, allowing our partners to focus on preventative action to mitigate potential damaging outcomes.

Key features

Arx is a purpose-built AI prediction engine that automates threat and risk management. Our proprietary algorithms analyze a wide variety of data attributes to detect early minute changes in behavioral patterns to enable proactive risk mitigation efforts.

External Risk assessment

AI clustering and segmentation of foreign contact threats by country, organization affiliation, travel activity and predicted threat level. Visualize all known external threats with an activity timeline and interactive link map to identify connections to any internal resources.

Insider Threat detection

Detect changes in behavior across multiple data sources based on self-learning AI analysis of unique behavior for early prediction of risk level score. Badge records, keystrokes, travel, web and data logs, financials, social media, among other attributes are continually analyzed to identify unique risk patterns.

Supply Chain analysis

ArxSC is built to run on classified networks, with a mirrored low side environment that automates research to rank and score future predicted risk of partners and vendors. Known employee profiles, foreign contacts, funding sources, partnerships and affiliations are dynamically analyzed by our proprietary algorithms to produce comprehensive risk assessment analytics.

Release History:

Current version: 1.0. Release date: February 20, 2024. Release notes