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Platform

Turn control evidence into a funded decision and reviewable proof.

Bring a failed control and its source evidence. Valty compares feasible actions against one budget, shows the modeled financial tradeoff, names the owner, and packages the chosen path as a board pack, IC brief, or audit artifact.

Source evidenceCompare actionsFund one pathExport proof

The product model

One decision, carried through four stages.

Company context and source evidence support every stage. The supported evaluation scope determines which sources, actions, and reporting paths are available.

01

Quantify loss

Frame one company, one loss objective, and the evidence and assumptions behind the modeled annual-loss range.

02

Fund next

Compare supported actions against the company budget and chosen loss objective, with missing inputs kept visible.

03

Authorize change

Name the owner and required approval before supported work proceeds; execution remains bounded by connected tools and permissions.

04

Prove reduction

Return at the scheduled review with current evidence. State whether movement is modeled or observed and keep unsupported claims blocked.

Your existing tools

Keep your source systems. Add a decision layer.

Bring the evidence your teams already maintain. Agree source coverage and the decision to model before a scoped evaluation.

Above the source

Valty reads. No rip-and-replace to start.

Scanners, EDR, SIEM, GRC, cloud posture, identity, and financial systems stay the authoritative record. Valty normalizes their evidence into financial language and proof artifacts.

Evidence first

Inspect the evidence behind a claim.

Review source coverage, confidence, and evidence dates alongside modeled figures. Missing or stale evidence belongs in the review, with a named owner.

Proof is the product

Take the evidence into the decision.

The supported reporting workflow pairs modeled outcomes with assumptions, sources, and unresolved evidence gaps for finance and security reviewers.

Decision support

Numbers carry their caveats.

Financial estimates are decision-support ranges with method, confidence, and limitation next to the claim, built to be challenged by CFOs and operating partners before approval.

Inside the Valty workspace

Follow a decision through Valty.

Explore individual Valty application captures with illustrative data. Each shows a product surface; together they are not a reconciled transaction or a customer result.

Quantify loss

Understand the range. Challenge the assumptions.

Inspect modeled annual loss and the assumptions behind it. The P95 marks a loss threshold exceeded in 5% of simulated years; it is not a forecast or a maximum possible loss.

Valty loss exposure workspace for illustrative Portco E showing the annual loss exceedance curve, model version, and P95 of $14.2 million
Real Valty application · illustrative dataInspect this screen
Governed actions

Connect control gaps to a remediation plan.

Turn supported control findings into proposed work with an owner and approval requirements. Review authorization, execution status, and failures in the same workspace. Supported actions depend on your connected tools and permissions.

Valty agent control center showing governed actions awaiting authorization, one failed execution, and completed review requests
Real Valty application · illustrative dataInspect this screen
Reporting

Choose the report format.

Select an IC Update, Board Summary, or another format. This screen shows template selection before a report is produced.

Valty executive report builder showing template selection, including IC Update and Board Summary formats
Real Valty application · illustrative dataInspect this screen

Fictional sample · 2026-09-05

Example Manufacturing Co.

Annual gross loss · baseline
$3,512,449

P95 annual loss · no insurance recovery modeled

No optional action: the sponsor-required tabletop is included, with no modeled loss reduction. Synthetic assumptions, not a customer forecast.

Mean $791,066P50 $124,681P95 $3,512,449

About 5% of modeled years exceed P95. It is an outcome percentile, not a worst case or a confidence interval. These synthetic inputs have not been externally calibrated.

Read the sample decision memo · Review the method

A separate worked example

Inspect the assumptions behind the decision.

The sample memo models one fictional company using a pinned product Monte Carlo engine. It compares competing actions against one budget and makes the objective explicit: the action with the lowest modeled mean loss differs from the one with the lowest P95. These synthetic assumptions are separate from every actual application capture on this page.

  • Mean, median, and P95 are labeled as different annual-loss measures
  • Input assumptions, engine provenance, and sensitivity are inspectable
  • An action with missing cost and effectiveness evidence stays out of the ranking

Reproducing this example establishes its arithmetic, not calibration to a real company. It models gross annual loss without insurance recovery and makes no EBITDA adjustment, valuation, or customer-outcome claim.

What leaves the platform

See what supports each decision.

Inspect sources, input assumptions, and unresolved evidence before acting on a modeled number. The sample shows how those distinctions affect a funding recommendation.

Board claim

Source
Loss estimate + evidence pack
Confidence
Model-based, source-linked
Freshness
Reviewed before export

Audit claim

Source
Control catalog + proof card
Confidence
Evidence-backed, tier-stamped
Freshness
Freshness visible to auditor

Insurance claim

Source
Risk scenario + control proof
Confidence
Decision-support only
Freshness
Requires current source coverage

Blocked claim

Source
Missing or stale evidence
Confidence
Not publishable
Freshness
Requires owner action before export
Connect your sources

Bring the evidence you already have.

Valty reads the scanners, cloud posture, identity, EDR, and GRC exports you agree to share, and maps that evidence onto the framework catalogs in scope for the engagement, so coverage is measured, not assumed. Mapping is not certification. No rip-and-replace to get started.

Import

Bring what you already export.

Findings, control catalogs, SBOMs, and supplier assessments load as evidence objects: CSV, SARIF, and structured exports, with owner and freshness attached.

Connect

Connectors scoped with you.

Scanners, cloud posture, identity, EDR, and GRC systems connect as evidence sources scoped in the design-partner engagement, so coverage is measured, not assumed.

Roadmap

More sources, same contract.

New connectors join the same evidence contract: every signal carries source, confidence, and freshness, so the financial model stays honest as coverage grows.

Next step

Choose the workflow you want Valty to prove first.

Explore the platform in a free 30-minute demo. If there is a fit, agree one initial company and decision, supported users and evidence, onboarding, and the next review before evaluation access. Recurring reviews and additional companies follow only when the supported scope is agreed.

PE / Operating partner

Request a platform demo

See the supported platform workflow in a free demo, then agree company scope, users, evidence handling, capabilities, onboarding, and commercial terms before evaluation access.

Request a platform demo
CISO

Map your evidence sources

Connect findings, controls, owners, and proof artifacts.

Map your evidence sources
CFO

Review the financial-risk model

Inspect assumptions, confidence, and source citations around dollar estimates.

Review the financial-risk model
Compliance / Federal

Discuss readiness package

Factual readiness, component provenance, and crosswalk for review.

Discuss readiness package

Valty product screen

Real Valty application · illustrative data