defender-side confidence engine

Your attackers are attacking at machine speed.
Why is your team defending at human speed?

Security decisions with evidence attached.

Veridex turns noisy findings into calibrated verdicts—grounded in scope, evidence, priors you own, and a ledger that never silently drops a decision.

Built for defenders who need automation without surrendering explainability. Every action stays inside owned-asset boundaries, every score can be replayed, and uncertainty remains visible.

I1

Never silently drop

I2

Criticality-aware bands

I3

Versioned scorer

I4

Thinness stays visible

The defender's problem

Signal is cheap. Trust is not.

Security teams receive more findings than they can investigate, while simple automation often hides the assumptions that make a verdict unsafe.

Veridex is the decision layer between detection and action: it audits scope, gathers bounded evidence, combines it with calibrated priors, and records the result for later review.

Live platform sandbox

From alert to accountable verdict.

Choose a finding class and watch the Veridex pipeline make uncertainty, scope, evidence, and disposition visible in one control center.

Execution stream● LIVE
TRIGGER

GuardDuty: unusual AssumeRole activity on production account

[09:14:02] ALERT INGEST

Finding received with asset scope: prod-accounts/*

scope: lockedledger: onv1.0
⟁

Veridex Orchestrator

evidence loop active
collector

Finding received with asset scope: prod-accounts/*

No action executes without scope and disposition checks.
Verdict pendinginvestigating

Investigation in progress

The verdict card will appear after the evidence loop and ledger write are complete.

1 / 6 stages complete

interval: pendingcalibration: pending
The decision layer

Automation with its assumptions intact.

Veridex makes the invisible parts of security automation inspectable: scope, evidence quality, data thinness, model influence, and what happened after the verdict.

◈

Findings ledger

Every verdict becomes a durable, idempotent row with evidence references and scorer version pinned for replay.

∿

Empirical-Bayes priors

Feedback separates two questions a single label conflates: was the detection correct, and did it warrant action. Thin data never masquerades as certainty.

⊙

Calibrated scoring

Soft evidence is clamped; hard signals are explicit. The engine exposes the reasoning path without leaking thresholds.

△

Cost-derived bands

HIGH, BOUNDARY and LOW come from your cost model, not ours: you set what a missed finding and a wasted hour are worth, and the thresholds follow per asset.

↻

Auto-close that comes back

Closed findings re-enter a retest pool and the floor drifts, so activity shaped to sit just under the threshold cannot stay there. This is what makes auto-close defensible rather than merely quiet.

⋈

Attack-path chaining

Findings that are individually low and jointly high are scored as a path, not a list. A chain that reaches a critical objective lifts every step in it.

⌁

Scope enforcement

Pre-tool hooks keep collection inside owned assets and allowlisted operations before evidence is gathered.

✣

MCP-ready operations

Playbooks, scoring, feedback, and explanation are exposed as composable tools for defender workflows.

Integration surface

Bring the signal. Keep control of the response.

SIEMs and cloud audit logs send findings in. Approved actions go back out as typed, scoped intents, and the connector that enforces them can run in your infrastructure holding your credentials, so keeping control is an architectural fact rather than a promise. A decision layer should not need god-mode keys to your identity plane.

Upstream intake

SIEMs and detectors

ALERTS IN

Google Cloud audit logs

Cloud provider · live

A Pub/Sub forwarder deployed inside the customer project maps audit events to the intake contract. Running in production today.

Wazuh

Open-source SIEM

Custom Manager Integrator sends structured alerts into the Veridex webhook for host, FIM, vulnerability, and security monitoring.

Splunk

Enterprise SIEM

Saved searches and alert actions feed correlated findings into the same normalized intake contract.

Elastic / OpenSearch

Detection analytics

Alerting webhooks and forwarding adapters connect search-based detections to the evidence loop.

Microsoft Sentinel

Cloud SIEM

Logic Apps and automation rules route Microsoft security findings into Veridex for calibrated disposition.

Wazuh path: use the open-source Manager Integrator with JSON alerts and an authenticated Veridex webhook. Stable source IDs preserve deduplication and replay.

Downstream actions

Response connectors

ACTIONS OUT
isolate_asset

availableAWS EC2 security groups

plannedCrowdStrike Falcon · SentinelOne · Kubernetes NetworkPolicy

revoke_session

availableRedis token blacklist

plannedOkta · Microsoft Entra ID

disable_identity

availableAWS IAM

plannedMicrosoft Graph / Entra ID · Okta

block_network_indicator

availableCloudflare WAF · AWS WAFv2

plannedNetwork firewall and IP-set services

Approval is a grant, not a click per alert. A human authorises a class of action on a class of asset for a bounded window; each execution cites that grant, carries an idempotency key, and writes its provider result back to the ledger. Approving one action at a time does not survive volume: it produces consent fatigue and an audit trail that records agreement without attention.

Architecture

A narrow, auditable path from signal to action.

Veridex keeps the model in its lane. The engine owns the ledger, priors, scoring, and bands; hooks own scope; playbooks define the evidence workflow; MCP exposes the capability without making the model the source of truth.

01

Finding

raw signal

02

Scope

owned asset

03

Evidence

bounded proof

04

Prior

feedback

05

Score

log-odds

06

Band

route

07

Ledger

replay

Pricing

Billed on decisions, not seats.

A platform fee per tenant, metered charges on the verdicts that reach a human, automation charges on the ones that do not, and a value share tied to measured analyst hours. The noise Veridex correlates away is never billed.

Rate card

Every charge maps to a ledger event.

METERED

Platform fee

Per tenant. Ledger, priors, scoring, bands, replay.

$500 / month

Escalated or boundary alert

Standard triage charge once a verdict reaches a human.

$0.25 / alert

Auto-closed alert

Bayesian automation charge on low-band verdicts closed without review.

$1.00 / alert

Executed containment action

Preview actions are free. You are billed when an action executes.

$5.00 / action

Value share

Charged on measured analyst hours saved, not on promises.

10% of savings

Correlated duplicates

Never billed. Deduplication savings accrue to you.

$0

Savings are measured, not modelled: 15 analyst minutes per correlated duplicate and 30 per auto-closed verdict at a $50/hr analyst. If the meter says the hours were not saved, the value share is not owed.

Monthly statementsample tenant · one month
Volume
Processed alerts1,542
Correlated duplicates (never billed)1,508
Rejected / out of scope428
Decided outcomes50
Auto-closed (low band)13
Boundary verdicts71
Charges
Standard triage — 71 boundary × $0.25$17.75
Bayesian automation — 13 auto-closed × $1.00$13.00
Containment actions — 0 executed × $5.00$0.00
Platform fee (monthly, per tenant)$500.00
Value share — 10% of $19,175.00$1,917.50
Total amount due$2,448.25
Analyst hours saved383.5 hrs ($19,175.00)
Estimated net savings$16,726.75

1,508 duplicates correlated away and 13 verdicts auto-closed — $18,850.00 and $325.00 of analyst time returned, against a $2,448.25 bill.

meter: ledger-backedpreviews: freedupes: $0
Start with one workflow

Request an Veridex pilot.

Bring one noisy finding, one owned environment, and one decision you want to make safer. We will help scope an isolated pilot around it.

Pilot requests are reviewed manually. Please do not include secrets, credentials, or sensitive production data.

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