Compare Aujas vs. ThreatConnect Risk Quantifier (RQ) in 2026

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Description

Aujas takes an all-encompassing and thorough approach to managing cyber risks. Our team possesses the necessary skills to create effective cybersecurity strategies, outline clear roadmaps, formulate policies and procedures, and oversee cyber risk management effectively. We utilize a reliable methodology that incorporates various industry best practices tailored to specific regions, industries, and contexts. These established best practices encompass frameworks like NIST CSF, NIST 800-37, ISO 27001, and other regional standards such as SAMA and NESA. Additionally, we ensure that the Chief Information Security Officer's office is aligned with the organization's overall objectives, program governance, technology and personnel strategies, as well as risk and compliance management. We also focus on identity and access management, threat mitigation, data protection and privacy, security intelligence, and operational effectiveness. The security strategy we develop aims to tackle evolving cybersecurity threats and trends, complemented by a transformative roadmap designed to enhance the overall security structure of the organization. Furthermore, we specialize in designing, developing, and managing automation for risk and compliance processes by utilizing leading Governance, Risk, and Compliance (GRC) platforms in the market. This comprehensive approach ensures that our clients are well-prepared to face the dynamic landscape of cybersecurity challenges.

Description

ThreatConnect RQ is a financial cyber risk quantification solution that allows users to identify and communicate the cybersecurity risks that matter most to an organization in terms of financial impact. It aims to enable users to make better strategic and tactical-level decisions by quantifying them based on the business, the technical environment, and industry data. RQ automates the generation of financial cyber risk reporting as it relates to the business, cybersecurity initiatives, and controls. Automated outputs are generated in hours for reporting that is more current and relevant. By automating risk modelling, the vendor states customers get a fast start and can critique, or tune models over time instead of having to create their own. They use historical breach data and threat intelligence upfront in order to save months of data collection and remove the burden of continuous updating.