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Mercury Risk and Compliance

Mercury Risk and Compliance provides cybersecurity, risk management, and GRC services that turn existing security investments into actionable, near‑real‑time insights for strategic decision‑making. Their platform combines Automated Controls Efficacy Testing (ACET) and the A.D.A.M. (Automated Dynamic Asset Mapping) machine‑learning engine to quantify asset‑value risk across cyber, technology, third‑party, user, and physical domains, delivering measurable business value.

Austin, United StatesFounded 20236700+ followers
Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Organizations struggle to translate existing cybersecurity, GRC, and third‑party risk investments into timely, actionable insights that align with business value and operational contexts. Traditional risk assessments often focus on loss avoidance and lack a unified, asset‑value based view across multiple risk domains.

Solution

Mercury Risk and Compliance offers a platform that leverages its Automated Controls Efficacy Testing (ACET) and Automated Dynamic Asset Mapping (A.D.A.M.) machine‑learning engine to quantify risk based on asset value across cyber, technology, third‑party, user, and physical domains. By applying empirical numerical scoring algorithms to known operating data, the solution delivers near‑real‑time, business‑centric risk scores that support both operational and strategic decision‑making. Existing security and compliance tools are integrated, allowing firms to maximize prior investments while gaining a unified, multi‑domain risk perspective. The platform provides defensible, quantifiable insights that can be scaled from small enterprises to large multinational organizations.

Target Audience

Primary customers are enterprise risk, security, and compliance teams in mid‑size to large organizations that need a consolidated, asset‑value driven view of risk across multiple domains.

Features

  • Automated Controls Efficacy Testing (ACET) that evaluates the effectiveness of existing security controls using empirical scoring algorithms
  • A.D.A.M. (Automated Dynamic Asset Mapping) machine‑learning engine that continuously maps and values assets across cyber, tech, third‑party, user, and physical risk domains
  • Asset‑value based risk quantification (AVRQ) delivering unified risk scores aligned with business and regulatory contexts
  • Near‑real‑time analytics that transform raw security data into actionable insights for both operational and strategic use
  • Scalable architecture that supports deployment in small, medium, and large multinational environments
  • Integration capability with existing cybersecurity, GRC, and audit management tools to leverage prior investments
This profile is AI-generated and may contain inaccuracies.