RAMP : Readiness Assessment Measurement Protocol

Business and AI Controls, AI Risk Quantification for Audit Readiness

Continuous compliance monitoring tools only monitor compliance once you are already compliant. RAMP gets you audit-ready.

The Audit Readiness Cycle

5 Stages, 1 Continuous Loop

From initial 30-second control assessment to seamless continuous monitoring hand-off. Click any stage in the circular loop to inspect the full workflow.

CyberPosture ShieldRAMP LoopDay 1 ReadysyncContinuous
Level 1 · Test of Design (ToD)Stage 01 of 05
rule

Assess Controls

Comprehensive 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

✓Cross-framework baseline assessment across 18 regulatory standards
✓Automated cloud & code discovery (AWS, GCP, GitHub, Okta)
✓Pre-loaded Policy-as-Code mapped to your actual infrastructure
✓Test of Design (ToD) control gap identification & scoring
Frameworks:SOC 2 Type IIISO/IEC 27001NIST CSF

The Compliance Gap

Continuous compliance tools monitor compliance. Nobody helps you build it.

Continuous Compliance Monitoring (CCM) tools are built for post-audit continuous testing. They connect to cloud APIs and verify configurations only after policies, baseline controls, and risk frameworks already exist.

On Day 1, nobody helps you author the controls, assess AI systems, or assemble the audit workpapers. Founders and security teams face an expensive dilemma: hire boutique consultants or spend months manually building spreadsheets.

RAMP is the Day 1 engine that bridges this void. We author your controls, evaluate AI systems, price risk in dollars, and package the complete audit workpapers so your continuous monitoring tools can do their job from day one.

Economic Impact & ROI

Eliminate the $100K Advisory Tax

Compare the traditional consulting route with automated, tech-stack driven audit readiness.

Legacy Advisory Model3–6 Months

$50K – $100K+

High-cost consulting retainers, generic boilerplate policies, and engineering resources hijacked from product delivery to become ad-hoc GRC architects.

  • • Manual spreadsheet evidence collection
  • • Subjective questionnaires with zero stack automation
  • • Long delays before continuous compliance tools can be deployed
RAMP Assessment-as-a-ServiceStructured Protocol

70% – 85% Savings

Analyzes your actual tech stack (AWS, GCP, GitHub, Okta), dynamically generating tailored controls, AI assessments, and auditor-ready workpapers.

  • • 100% tech-stack driven, zero labor overhead
  • • Immediate baseline ready for continuous monitoring
  • • Cuts audit preparation time by 90%

VALORA AI · Quantitative Risk Engine

Quantifying risk exposure in concrete dollars using value at risk

The VALORA AI engine uncovers surprising algorithmic exposure across deployed LLMs, autonomous agents, and data pipelines—translating technical vulnerabilities into risk exposure in concrete dollars using value at risk ($VaR) alongside continuous compliance against NIST AI RMF and ISO 42001.

Projected Loss Exposure ($VaR Scenarios)

$118K

Best Case

$412K

Likely Case

$1.9M

Worst Case

What is Delivered

Quantifiable AI Governance

Dollar-Priced Exposure

Replaces subjective guesswork with defensible probabilistic financial loss metrics accepted by auditors, risk committees, and cyber underwriters.

Board & Insurer Defensibility

Pre-audited governance evidence mapped directly to global AI mandates including NIST AI RMF, ISO 42001, and the EU AI Act.

Prioritized Remediation by ROI

Ranks security and AI control gaps by direct dollar loss reduction potential, directing engineering teams where they protect the business most.

Closed-Loop Remediation

Every gap becomes an action — automatically.

A failed control or AI vulnerability does not sit in an exported report. It immediately creates tracked action items to resolve the issue.

Gap Identified

A control test or AI evaluation discovers an operational or design shortfall in your environment.

ToD FindingAI Posture Gap

Automated Task & Risk Register

Instantly assigns an action item with designated owner and milestone deadline into the live risk register.

Risk RegisterAssigned Action

Evidence Re-Verification

Resolving the task triggers an automated re-test, updating audit proof and syncing evidence to continuous compliance monitoring systems.

Evidence UpdatedCCM Synced

Frameworks & Coverage

Multi-framework crosswalks for modern enterprise defense.

Assess your tech stack once. RAMP automatically cross-maps controls and evidence across global regulatory standards and emerging AI governance mandates.

SOC 2 Type II

Continuous Controls

ISO/IEC 27001

ISMS Alignment

NIST AI RMF

AI Risk Profiling

ISO/IEC 42001

AI Governance

Quantitative $VaR

Financial Loss Exposure

Scientific Modeling & Defensibility

Methodology

Unlike checklist compliance or static training quizzes, CyberPosture's methodology rejects subjective guesswork. Our architecture is engineered on empirical behavioral psychology, aviation human reliability engineering, actuarial loss mathematics, and high-assurance data integrity standards.

Every employee risk signal, 0–1,000 resilience index calculation, and automated audit workpaper adheres to validated, peer-reviewed scientific frameworks—ensuring complete mathematical defensibility for individuals, CISOs, and independent audit teams.

psychology_altCognitive Exploit Modeling

Behavioral Psychology

Cialdini’s 6 Principles of Influence

Robert Cialdini's seminal persuasion framework models how social engineering actors weaponize human cognitive heuristics: Authority (executive spoofing), Scarcity & Urgency (panic triggers), Consistency (commitment traps), Reciprocity (quid pro quo), Social Proof (herd compliance), and Liking (affinity pretexting). HVI measures resistance against these exact behavioral levers.

Human Vulnerability Index (HVI)Scientific Model →
warningSystemic Failure Precursors

Human Reliability Engineering

The Dirty Dozen Human Factors

Derived from high-reliability aviation safety, the Dirty Dozen isolates the 12 psychological and environmental conditions—including Pressure, Urgency, Fatigue, Complacency, Distraction, and Norms—that precede 80%+ of security breakdowns. CyberPosture models situational context rather than assigning punitive blame.

Human Factor AnalysisScientific Model →
verifiedAudit-Grade Verifiability

High-Assurance Evidence Governance

ALCOA / ALCOA+ Data Integrity

Originating in regulated life sciences and pharmaceutical compliance, ALCOA+ mandates that every risk signal and RAMP audit workpaper is Attributable, Legible, Contemporaneous, Original, and Accurate (+ Complete, Consistent, Enduring, Available), providing audit-ready cryptographic defensibility.

Audit Integrity StandardScientific Model →
paymentsDollar-Value Pricing

Actuarial Financial Loss Modeling

FAIR™ Quantitative Risk ($VaR)

Factor Analysis of Information Risk (Open FAIR™) replaces subjective 'High/Medium/Low' heatmaps with probabilistic Value-at-Risk ($VaR) loss distributions. It prices risk exposure in concrete dollars using value at risk across productivity loss, incident response, regulatory fines, and reputation impact.

VALORA AI & RAMPScientific Model →
smart_toyAlgorithmic Exposure Guardrails

AI Governance & Algorithmic Safety

NIST AI RMF 1.0 & ISO/IEC 42001

The premier global benchmarks for Artificial Intelligence Management Systems (AIMS). The VALORA engine benchmarks autonomous LLMs, agentic workflows, and training data pipelines—uncovering surprising algorithmic exposure and pricing it into concrete dollar figures using value at risk.

VALORA AI EngineScientific Model →
fact_checkSOC 2 · GDPR · HIPAA · PCI DSS

Day 1 Audit Readiness

Multi-Regulation Baseline & Test of Design (ToD)

Tech-stack tailored control cross-mapping that verifies control design integrity in 30 seconds across SOC 2 Type II, EU GDPR, HIPAA Security Rule, and PCI DSS v4.0, packaging signed, immutable workpapers ready for export to day-to-day CCM tools.

RAMP ArchitectureScientific Model →

Day 1 Audit Readiness for Enterprise GRC.

Build your verified control baseline, quantify AI financial exposure, and generate signed audit workpapers ready for continuous compliance monitoring.