Panorays Cyber Risk Quantification

Quantify Third-Party Cyber Risk in Financial Terms

Third-party cyber risk is difficult to translate into business impact. Knowing which suppliers pose a cyber risk isn’t enough. You need to understand what that risk could cost your business so you can prioritize what matters, justify investments, and make decisions with confidence.

Go Beyond Risk Identification to Understand Financial Impact

Panorays Cyber Risk Quantification (CRQ) translates third-party cyber risk into clear financial impact. Powered by the industry-recognized Open FAIR™ framework and the supplier intelligence already available in Panorays, CRQ calculates potential annual financial losses across key cyber risk scenarios. This gives security and business leaders the financial context they need to prioritize risk, guide investments, and make more informed decisions.

Panorays cyber risk quantification displaying annualized loss expectancy for a business.

Ready out of the box financial models. Flexible to your business.

Actionable Context

Access contextual security insights tailored to your unique requirements. Retrieve relevant information across your Panorays data, summarize complex findings, and perform direct actions in real time.

Faster Decision-Making

Leverage guided workflows defined by Panorays security experts to support key use cases and accelerate informed decision-making, including Questionnaire Submission Reports, Response Comparisons, Severity Status Reviews, Assessment Reports, and Supplier Onboarding.

Organization-Wide Access

Extend access to Panorays insights beyond daily platform users, enabling non-technical stakeholders and decision-makers to quickly retrieve relevant security information and stay informed.

Operational Efficiency

Streamline security workflows with a faster, simpler path to your data. Leverage Panorays’ rich cybersecurity insights to accelerate operational tasks and support faster, more confident decisions.

Go Beyond Risk Identification to Understand Financial Impact

You know which suppliers carry cyber risk through High, Medium, Low (or 1–5) ratings. Now take it a step further and show your board how much that risk could actually cost the business.

Panorays CRQ bridges the gap between technical cyber risk and financial decision-making. Quantify potential losses across your third-party ecosystem so security, risk, finance, and executive teams can make decisions using a shared language: financial impact.

Panorays CRQ dashboard UI with suppliers ranked by potential financial exposure.

Know the Cost of Third-Party Cyber Risk Before It Impacts Your Business

See the potential financial impact of 4 critical third-party cyber scenarios. Powered by Open FAIR™, CRQ uses existing supplier intelligence to estimate each scenario’s likelihood and financial impact, delivering an Annualized Loss Expectancy (ALE) in concrete financial terms.

Availability Loss

Understand the financial impact when a cyber incident at a critical supplier disrupts operations, including potential lost revenue and service-level consequences.

Data Leak Loss

Estimate the potential cost of sensitive data exposure resulting from a third-party breach, factoring in data sensitivity, volume, and regulatory exposure.

Fraud Loss

Quantify the financial impact of fraudulent activity stemming from a compromised supplier relationship, including transaction and financial exposure.

Supply Chain Attack Loss

Understand the potential financial impact when attackers compromise a supplier as a pathway into your organization, exposing your business to broader downstream risk.

From Supplier Intelligence to Financial Risk, In One Platform

Panorays CRQ puts the supplier intelligence already in your platform to work, turning existing third-party cyber risk data into clear, explainable financial insights, without adding another standalone assessment process.

1. Put Your Existing Supplier Intelligence to Work

CRQ draws on the data already available in Panorays, including security posture, questionnaires, business context, relationship data, external exposure, certifications, cyber intelligence, and custom risk factors.

2. Quantify risk without the data burden

Skip rigid data requirements as AI automatically analyzes diverse third-party intelligence across sources and formats, turning the data you already have into financial risk insights without manual preparation, predefined templates, or additional effort.

3. Understand What’s Behind the Estimate

Go beyond a single number with transparent, explainable insights into the factors driving each estimate. Realistic financial ranges account for uncertainty, giving teams the context they need to understand and confidently act on the results.

Frequently Asked Questions