The only platform that bridges the gap between regulatory enforcement and frontier AI risk to give you true, enterprise-level risk posture. We quantify enterprise-level exposure across two critical frontiers that no one else combines: regulatory non-compliance and shadow AI adoption.
ToD & ToE
Defensibility Testing
Gap assessment, Test of Design (ToD), and Test of Effectiveness (ToE) as needed across frameworks.
$VaR
Frontier AI Risk Exposure
Dollar-loss modeling for LLMs, autonomous agents, and shadow AI adoption.
Day 1
CCM & Audit Ready
Structured evidence workpaper packages provided in standard files for CCM tools and audit firms.
Experience how RAMP performs gap assessments, tests control design and effectiveness as needed, models algorithmic AI risk in concrete dollars ($VaR), and compiles structured workpapers for CCM tools and audit firms.
$1,312,500
$240,000
Control Matrix
248 Mapped Controls
AI RMF Package
Agent Governance Ledger
CCM Handoff Package
Automated CCM & Audit Bundle
Modern organizations cannot manage exposure through disconnected checklists. True audit readiness requires evaluating how risk converges across four critical frontiers:
RAMP PostureDay 1 Core$VaR & Audit LockUncontrolled enterprise adoption of LLMs, autonomous background agents, and shadow prompt interfaces introduces unmonitored data leakage, model drift, and prompt injection vulnerabilities.
Hyper-Exponential (+320% YoY)
35% $VaR Share
Completely unmonitored in legacy CCM tools
Shadow AI risk surfaces when operational processes and change approval controls fail to track autonomous LLM adoption.
Third-party SaaS vendors silently embed external AI pipelines, creating opaque fourth-party data exposure.
Unmonitored AI drift leads to algorithmic discrimination, data leaks, and immediate statutory enforcement under new laws.
The Day 1 audit readiness protocol for enterprise risk. Continuous compliance monitoring (CCM) platforms are engineered to monitor controls once they exist—RAMP solves the critical Day 1 challenge: authoring controls, proving tests of design, and quantifying frontier AI exposure.
Continuous monitors alert you to failing tests, but they cannot design controls tailored to your architecture. RAMP builds the foundation: Policy-as-Code and test matrices before you connect automated monitors.
Traditional readiness relies on high-billing consulting teams asking repetitive spreadsheet questions over 6 months. RAMP conducts structured gap assessments, Test of Design (ToD), and Test of Effectiveness (ToE) as needed—eliminating 70%–85% of customary advisory expense.
Stop presenting color-coded "red-yellow-green" matrices to the Board. RAMP's VALORA engine translates autonomous AI pipelines, prompt risks, and regulatory drift into concrete dollars of financial risk exposure ($VaR).
From initial 30-second control assessment to seamless continuous monitoring hand-off. Click any stage in the circular loop to inspect the full workflow.
RAMP LoopDay 1 ReadysyncContinuousComprehensive Gap & Defensibility Assessment
Assess business process controls against regulatory frameworks. Pre-loaded policy code and tech-stack control baselines are mapped dynamically to your actual cloud and code infrastructure.
Key Technical Deliverables
Everything you need to know about RAMP's Day 1 audit readiness protocol, AI risk modeling ($VaR), and how we supply evidence files to CCM tools and audit firms.
Day 1 Audit Readiness
Book a focused 30-minute scoping walkthrough with our audit readiness and quantitative risk practice leaders. We will review your framework requirements, map tests of design, and evaluate AI risk exposure.
