RootCaws LLC
Controls as Engineering Artifacts, Not Screenshots
About RootCaws
RootCaws reimagines governance, risk, and compliance by treating controls as engineering artifacts rather than compliance paperwork. We solve the fundamental problem with traditional GRC programs: they’re built backward. Instead of picking a framework and retrofitting controls into the gaps it implies, RootCaws provides a unified control inventory organized by organizational layer—platform, enterprise, product, and customer. Each control has an owner, a named system to check, and a continuous health signal, making governance, compliance, and risk reporting queries against a single source of truth rather than three separately maintained systems.
Our approach encodes controls as infrastructure defaults, so evidence becomes a byproduct of deployment rather than something gathered afterward. We express risk in dollars using FAIR-based quantification with expected loss, P90/P99 downside, and Monte Carlo simulation, enabling security investments to be weighed against any other business decision. RootCaws serves organizations that demand continuous compliance, quantified risk, and controls that integrate seamlessly with modern infrastructure-as-code practices.
Our Solutions
Control-Centric GRC Platform
A unified platform featuring control inventory management, framework coverage mapping, evidence health tracking, FAIR-based risk register, and evidence package assembly. Consolidates governance, compliance, and risk reporting into a single queryable system with continuous health signals and organizational layer separation.
Infrastructure-as-Code Controls
NIST SP 800-53 controls expressed as Terraform for AWS and GCP, emitting machine-readable evidence at deploy time. ISO 27001:2022 Annex A controls with runnable checks, KPI/KRI bounds, and automated drift alerts. Controls encoded as infrastructure defaults so evidence is a natural byproduct of deployment.
FAIR Risk Quantification & Analytics
Standalone FAIR and Monte Carlo simulation tools for quantifying risk in dollars. Includes SEC Item 1.05 materiality workbench and AI risk register covering NIST AI RMF and ISO/IEC 42001. Enable security teams to express risk in business terms and weigh security investments against other organizational priorities.