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Your Digital & AI Exposure.
Quantified. Assured.
In Dollars.

Your security tools and AI systems generate
massive exposure data — but the value is trapped.

The Thrivaca™ AI Engine transforms cyber and AI exposure into actuarially validated financial intelligence—enabling assurance, governance, and defensible decisions.

The era of guessing digital risk is over.

SEE EXPOSURE IN DOLLARS → THE AI BEHIND IT →
Thrivaca Engine Summary Dashboard

Developed in coordination with:

Trusted by enterprises and insurers covering 35% of the S&P 500:

Proven. Not Assumed.

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5X Stronger
Predictive Signal

Compared to outdated
traditional scoring models

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4X Better
Loss Outcomes


Measured against industry averages

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Within 7% of
Actual Loss Outcomes

Backtested against real-world breach data

Digital Twin Icon
Digital Twin Modeling:
Real-Time Simulation

Simulate exposure and financial impact
before events occur

NIST approved
Built on NIST-Designed
Methodology

Aligned across all major
cyber frameworks

Validated across 50,000+ real-world scenarios in 580 industries.
Continuously trained since 2016.

What makes ArxNimbus different?
Unlike traditional tools that score or rank risk, ArxNimbus uses actuarial modeling to
quantify loss exposure and prioritize mitigation based on financial outcomes.

From Fragmented Data to Financial Clarity.

[01] CONNECT →

Integrate your existing security tools, AI systems, software supply chains, and infrastructure.

 

Thrivaca ingests data from 50+ platforms including Qualys, Wiz, Armis, Snyk, Tenable, CrowdStrike, and ServiceNow. Automated SBOM/RBOM/AIBOM generation across CI/CD pipelines and model registries.

 

External threat intelligence, loss data, and dark web monitoring across 13 million domains.

[02] ANALYZE →

The Thrivaca AI Engine normalizes fragmented data through seven
AI-driven stages, mapping findings against 47,000 MITRE threat vulnerability pairings and NIST 800-53 controls.

 

Machine-to-machine translation creates one unified risk model from dozens of conflicting data sources.

[03] QUANTIFY →

Actuarial models developed with University of Chicago economists and validated by Yale Medical School statisticians produce financial exposure metrics: current risk in dollars, projected risk after controls, and ROI for every security investment.

 

Knowledge graph technology maps exposure from individual vulnerabilities and AI models through business processes to P&L impact.

 

Not scores. Not ranges. Dollars traced to the business processes they affect.

[04] DECIDE →

Boards receive two defensible numbers.

 

CISOs receive
AI-optimized remediation roadmaps.

 

CFOs see ROI by initiative.

 

Insurers underwrite with actuarial precision.

 

One engine.
One measurement.
Every stakeholder aligned.

The Intelligence Operating System for Digital Exposure. 

Built in 2016 in collaboration with US Strategic Command, MITRE Corporation, University of Chicago, and securely powered in part by Anthropic, the Thrivaca AI Engine is a seven-stage pipeline that sits between your fragmented digital exposure data and the financial decisions your organization needs to make.

 

The Thrivaca AI Engine creates a digital twin of your organization’s exposure landscape — from infrastructure vulnerabilities and software supply chains (SBOM/RBOM) to AI models and governance (AIBOM).

 

Knowledge graph technology maps dependencies from individual findings through business processes to P&L impact. Continuously updated, actuarially validated, and expressed in the financial metrics every stakeholder understands. 

EXPLORE THE AI ENGINE → BOOK DEMO →
 

Thrivaca AI Data Engine Visualization


One Actuarial AI Engine. Three Critical Markets.

CYBERSECURITY EXPOSURE MANAGEMENT FOR ENTERPRISE RISK

50+ security tools.
Zero common language.

The Thrivaca AI Engine translates fragmented vulnerability, CVE, and asset data into one financial exposure metric — with complete visibility across infrastructure, software supply chains (SBOM/RBOM), and AI models (AIBOM).

The financial exposure clarity boards and insurers require.

 

ThrivacaCORE: Point-in-Time → ThrivacaUNIFY: Enterprise →

AI EXPOSURE & GOVERNANCE WITH FINANCIAL ACCOUNTABILITY

$1T+ invested in AI since 2020.

Most organizations cannot quantify the financial risk their AI systems introduce.

ThrivacaAIQ integrates AI governance and technical assurance with actuarial financial quantification—turning AI exposure into dollarized risk.

Governance tells you where the gaps are.

Assurance proves what works.

Financial quantification tells the board what it costs.

ThrivacaAIQ: Secure AI →

CYBER INSURANCE OPTIMIZATION WITH ACTUARIAL INSIGHT

Underwriting cyber risk with incomplete, point-in-time data leads to volatility—and mispriced risk.

The Thrivaca™ AI Engine quantifies digital exposure with actuarial, data-driven insights—enabling insurers to model severity, validate controls, and price risk with precision.

From submission to portfolio, Thrivaca replaces static scoring with dynamic, financially grounded underwriting.

Improve loss ratios.
Increase underwriting confidence.
Scale with accuracy.

ThrivacaINSURE: Precision Pricing →

One Actuarial AI Engine. Three Expanded Use Cases.

What Changes for Your Organization.

CISOs & SECURITY TEAMS

One unified exposure metric across every tool in your stack — infrastructure, software supply chains, and AI models. AI-optimized remediation roadmaps with NIST-approved playbooks.

Complete SBOM/RBOM/AIBOM visibility. Stop drowning in alerts — start making decisions.

 


CFOs & BOARDS

Two defensible numbers: current exposure and projected exposure after controls.

Budget decisions grounded in actuarial data. ROI of $10–$144 per dollar invested.

 

 


INSURERS & UNDERWRITERS

Loss ratios one-quarter the industry average.

Forecast accuracy within 7% of actual breach losses.

Underwrite with precision, not professional opinion.

 

 


AI EXPOSURE LEADERS

Govern AI with financial clarity—not policy alone.

See where risk originates.
Prove what works.
Quantify impact in dollars.

From models to business processes to P&L—
AI exposure,
fully understood.

“This is the first time I’ve felt I can be comfortable.” - CEO, Sonora Quest Labs

Nine years of AI, not nine months.

Most AI security and governance companies were founded after 2022.

ArxNimbus has been building, training, and validating AI models for digital exposure since 2016 — before GPT-2 existed.

Read the full AI origin story →

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Stop Guessing. Start Quantifying. 

Most organizations cannot answer this question:
How much financial exposure are we actually carrying?

Thrivaca translates cybersecurity, AI, and digital risk into defensible dollar impact—
so you can decide with confidence.

NIST-approved methodology  |  35% of S&P 500 analyzed  |
Insurer loss ratios at 1/4 industry average |  Forecast accuracy within 7%

 

REQUEST AN EXECUTIVE BRIEFING → SEE THE AI ENGINE IN ACTION →