Highis not a number.
RysQuant turns the security data you already collect into dollars. You see what you can expect to lose, what each fix is worth, and what your cyber, AI and quantum exposure costs the business.
Executive view, ISO 31000 scoring, FAIR quantification and the live register, in the RysQuant platform.
Scanners, SIEM, GRC, threat feeds and a CMDB. Heavy investment, thousands of findings, and still no single view of what cyber risk costs the business.
“We have 14,000 open findings and our risk posture is High.”Every quarterly board report, everywhere
“High” cannot be compared across business units, weighed against a control investment or defended to an auditor. Directors are now personally accountable for cyber oversight, and a colour is not evidence.
What leadership asks, and nobody can answer
A record, up 12% in a year
More than double the global figure
Rising after five years of improvement
Adding about $1M to the average
Source: IBM Cost of a Data Breach Report 2026, 602 organisations worldwide.
This register is ordered the way your scanner orders it, by technical severity. Reveal what each risk costs, then rank by business impact and watch the list turn upside down.
Every item carries the same red label, so every item competes for the same budget. Press “Reveal the cost” to see what each one is worth a year.
Illustrative register. RysQuant derives these values from your own asset, data, threat and control information.
Most tools score a threat against a weakness and stop. That tells you a server is exposed, not whether it matters. RysQuant puts the value of your assets and data inside the calculation, so the same weakness on a test server and on your customer database produce very different numbers.
Your CMDB, data classification, scanners, SIEM/SOC, cloud and threat intelligence feed one platform. Nothing to rip out.
Every risk is assessed under ISO 31000, with an owner, a context and a treatment plan.
The same record is priced with FAIR-based Monte Carlo simulation: expected annual loss and a realistic range.
Risks ranked by money at stake. Treatments costed against the risk they remove. Reports for every role.
Start with one engine and add the others when you are ready. Every engine writes to the same live register, so cyber, AI and quantum exposure rank side by side.
Context, risk appetite, identification, analysis, evaluation, treatment and review, with an owner at every step.
Produced the way insurers, auditors and regulators expect to see them.
A financial figure for every AI system you run, not a maturity score.
A future quantum computer will break the encryption your systems depend on today, and data stolen now can be decrypted later. RysQuant prices that exposure before it becomes a breach.
| Feature | Outcome |
|---|---|
| Executive view: total annual loss expectancy, severity split, impact by category | Leadership sees exposure as a number, not a colour, with nothing to translate |
| Analyst workspace: likelihood × impact scoring, live heat maps, drill-down | One consistent method across every business unit |
| FAIR modelling: Monte Carlo, P10–P90 ranges, loss exceedance curves | Numbers that survive scrutiny from finance, auditors and insurers |
| Live register: owner, rating, dollar value and mitigation status per risk | Audit and disclosure evidence exported on demand |
| Treatment costing | Every control investment shown against the risk it buys down |
| 300+ native threat database, MITRE ATT&CK and OWASP mapping | Threat intelligence that changes the risk figures, not just the alerts |
| AI/ML layer: correlation, anomaly detection, predictive analytics | Emerging risk surfaced before the next quarterly review |
| Quantum exposure modelling | A defensible budget for post-quantum migration |
RysQuant adds to your stack. Every integration raises the return on tools you already own.
Inventory and business value
Sensitivity of the data each asset holds
Technical weaknesses and exposure
Detection events and incident history
Misconfiguration and exposure
Techniques, actors and campaigns
Secure sign-in, role-based access
Custom sources and exports
“Which of these 14,000 findings threatens the business, and what happens to that number if you fund me?”
Findings ranked by money at risk. Control investments shown against the exposure they remove.
Rebuilding the same board slide every quarter from a spreadsheet that was out of date when you exported it.
“What is our cyber exposure worth, and is this proposal better value than everything else competing for the money?”
Exposure as a number with a range. Security proposals costed like any other investment case. Insurance limits tested against modelled loss.
Approving spend on the strength of a colour and a confident tone of voice.
“Is cyber risk assessed the same way across the whole group, and can I prove it?”
One ISO 31000 lifecycle, one register across every entity, and quantification without a consultancy each time.
Reconciling four business units that each scored the same risk differently.
“If a regulator asked how we oversee cyber risk, would our answer hold up?”
Materiality supported by a modelled figure. An evidence trail as a by-product of the work. Trends, not an annual snapshot.
Accepting “High” as a report on something you are personally accountable for.
Resilience evidence for supervisors, a defensible materiality threshold, and quantum exposure on long-lived customer data.
Patient records priced by sensitivity and retention period, so protection follows the data that costs most to lose.
Operational technology scenarios that scanners never score but boards must fund.
Downtime-driven loss modelling for plants and supply chains, beside IT risk in one register.
Customer-trust exposure and AI system risk, quantified for board and investor reporting.
One consistent method across departments, with evidence for oversight bodies.
Four questions and an indicative figure, with no form to fill in. This is a simple public model. RysQuant builds the real one from your own systems.
Expected loss across a year, before any reduction from better prioritisation.
Indicative only. Based on published breach-cost averages, adjusted for size, data volume and security maturity. Your real figure depends on your own assets, data and controls, which is exactly what RysQuant measures.
Compliance platforms manage the process and specialist tools model the money, but almost nobody does both on the same risk record. RysQuant runs ISO 31000 risk management and FAIR quantification together, so every risk carries an owner, a rating and a dollar value. We put the value of your assets and data inside the calculation, which changes the ranking, and the ranking is what you fund. The same engine prices cyber, AI and quantum risk, and it connects to the tools you already own.
| Approach | Strength | Risk process | Money | AI & quantum | Typical buyer |
|---|---|---|---|---|---|
| Enterprise GRC | Compliance, policy and audit workflow | Yes | Weak | No | Large regulated enterprises |
| Specialist quantification | Deep financial loss modelling | Partial | Yes | No | In-house risk teams |
| Security ratings | Outside-in scoring of third parties | No | No | No | Vendor risk teams |
| Vulnerability platforms | Finding and tracking technical issues | No | Partial | No | Security operations |
| RysQuant | Both, on one record, with business value in the calculation | Yes | Yes | Yes | Regulated mid-market to enterprise |
Annual subscription. Begin with structured risk management and add financial, AI and quantum quantification when your programme is ready.
A first formal risk programme
Regulated organisations
Multi-entity groups
Add-ons: AI risk module · Quantum risk module · Third-party risk module · Extra integrations · Private cloud or on-premise deployment · Multi-year terms
Cybersecurity leader with 20+ years advising executives on cyber risk strategy, security architecture and cloud security across government, financial services and regulated industries. Specialist in risk quantification, GRC transformation and AI security, and in turning complex cyber risk into clear business decisions.
Data transformation leader with 16+ years driving data strategy, analytics and large-scale transformation in banking and finance.
Digital transformation leader with 20+ years in high-performance computing, cloud and security transformation, risk, governance and software development.
Point RysQuant at a slice of your own environment and we will produce your real exposure figure, the one you can take into your next board meeting.
A 30-minute demo on your own risk scenarios. No slides.
