The question this answers
Where should leaders act first?
Bring exposure, weak coverage, trend, and concentration into one view with a clear next move.
Risk Analytics
Know your AI risk. In dollars.
A live risk score, Monte Carlo loss simulations, insurance tower analytics, and liability tracking, all driven by real governance data, not surveys.
How It Works
From raw data to dollar-value risk.
Governance data flows in
Every action your AI agents take, every correction, every block, every pass, feeds into the risk engine automatically.
Actuarial models run
Real actuarial models crunch the numbers. Monte Carlo simulations, Markov chains, and loss distributions, running continuously.
Dollar-value risk comes out
You get a risk score, a loss forecast, and exact dollar values. No surveys. No guesses. Just math based on what actually happened.
Interactive Demos
See the numbers for yourself.
One number that tells you where you stand
The Agentic Risk Score rates your AI governance from 250 to 1,000, like a credit score. It updates in real time as your agents work. Higher is safer.
CRITICAL (250–399)
Composite governance posture rating
Advanced Analytics
Markov state risk modeling.
Track how your agents move between risk states over time. See transition probabilities and predict where risk is heading, before it gets there.
Markov Risk State Model
30-Day State History
Capabilities
The full risk quantification suite.
Agentic Risk Score
A 250 to 1,000 composite score. Tracks governance coverage, policy compliance, vendor risk, and NHI posture. Updated in real time.
Monte Carlo Simulations
10,000 scenario runs model expected losses, tail risk, and breach probability. See VaR at 95% and 99% confidence.
Liability Value Tracking
Every violation type gets a dollar value. PII leaks, compliance failures, data breaches. You see the cost before it happens.
Insurance Telematics
Live telemetry data for your insurers. Measured behavior replaces questionnaires. Get better premiums with proof.
Value at Risk (VaR)
95th and 99th percentile loss estimates. Know the dollar amount you could lose in the worst 5% and 1% of scenarios.
Stress Testing
Simulate extreme events: mass agent failures, coordinated attacks, vendor outages. See how your governance holds up under pressure.
Risk Decay Curve
Watch your risk shrink over time as governance improves. Show auditors a measurable trend, not a promise.
ROI Attribution
Every dollar saved is traced back to the policy that saved it. Know which governance rules deliver the most value.
Total Liability Shielded
$0
Coverage Tower
Excess
$500K
Primary
$250K
Retention
$100K
Monitoring...
Governance ROI
Every correction has a dollar value.
Every violation that gets corrected instead of blocked has a dollar value. See the total liability your governance layer has prevented, broken down by PII, financial, compliance, and security categories.
The definitive answer to 'what is AI governance worth?', backed by real incident data, not estimates.
Correction Value — Liability Comparison
Without Governance
$0k
estimated annual liability
SHIELDED
$0k
With Governance
$0k
residual exposure
PII Exposure
$0k saved
residual
prevented
Financial Commitments
$0k saved
residual
prevented
Compliance Violations
$0k saved
residual
prevented
Security Incidents
$0k saved
residual
prevented
Governance Maturity
Watch your novel risk decline over time.
The declining novel violation rate is the single best indicator of governance maturity. Novel risks become rarer as policies mature, governors improve, and edge cases get covered.
Show the board that your AI risk is improving, with data, not promises.
Risk Decay Curve
Decay Score:
0/100
Novel violations
Repeat violations
Declining novel violation rate = governance maturity improving over time
Actuarial Analysis
Loss development for AI incidents.
Actuarial loss development analysis adapted for AI incidents. Project ultimate losses from reported history. The standard actuarial tool, now applied to AI liability.
Insurance professionals and risk managers already know how to read loss triangles. Now they have one for AI.
Available on: EnterpriseLoss Development Triangle
0mo
3mo
6mo
9mo
12mo
Q1 2025
$45k
$52k
$54k
$55k
$56k
Q2 2025
$38k
$44k
$47k
$49k
—
Q3 2025
$42k
$49k
$52k
—
—
Q4 2025
$35k
$41k
—
—
—
Q1 2026
$28k
—
—
—
—
Failure Analysis
Survival analysis for governance failures.
Kaplan-Meier survival analysis for governance failures. How long between incidents for each governor? Compare survival profiles to identify which governors need attention.
The same statistical framework used in clinical trials, applied to AI governance. Rigorous, visual, and actionable.
Available on: EnterpriseGovernor Survival Analysis
PII Shield
Financial Guard
Content Safety
Time between governance failures (months) — higher is better
Scenario Modeling
Model worst-case scenarios before they happen.
Model worst-case scenarios: major provider outage, mass PII incident, coordinated adversarial attack. See the financial impact, the blast radius, and the recovery timeline, before it happens.
Stress testing isn't optional for regulated industries. Now you can run it continuously, not just once a quarter.
Available on: EnterpriseStress Testing — Scenario Comparison
P=2.1%
Major Provider Outage
Primary AI provider offline for 72+ hours
Revenue Impact
$2.4M
Agents Affected
89%
Recovery Time
72hr
P=0.8%
Mass PII Incident
Simultaneous PII exposure across 5+ agents
Regulatory Fines
$1.2M
Records Exposed
45k
Legal Costs
$600k
P=4.3%
Coordinated Prompt Attack
Adversarial campaign exploiting agent chain
Financial Loss
$890k
Agents Compromised
3
Containment
4hr
FAQ
Automated risk analytics, answered.
What is automated risk analytics for AI?
Automated risk analytics turns live governance data into a dollar-value risk picture without analysts assembling it by hand. Every correction, block, and pass your agents produce feeds the engine; actuarial models such as Monte Carlo, Markov chains, and loss distributions run continuously; and out comes an Agentic Risk Score from 250 to 1,000, a loss forecast, and Value-at-Risk at the 95th and 99th percentiles. No surveys, no quarterly guesswork.
How does risk analytics and scenario modeling fit together?
Risk analytics is the live posture: the score, liability tracking, and ROI attribution driven by what your agents actually did. Scenario modeling is the forward look: Monte Carlo futures, stress tests, loss triangles, and survival curves that project what could happen. The deeper modeling toolkit lives in scenario analytics, and both read from the same governance feed.
Is the Agentic Risk Score updated in real time?
Yes. The Agentic Risk Score is a composite of governance coverage, policy compliance, vendor risk, and NHI posture, and it updates as your agents work rather than on an audit cycle, so the number on the board deck matches the number in production.
Ready when you are
Stop guessing what AI failures cost you.
Thirty minutes against your real agent fleet. Leave with an Agentic Risk Score and a liability-shielded figure in dollars.