Risk Quantification
RANSOMWAREAvg financial impact ₹4.8Cr per incident · Recovery time 23 days · Probability 34% annually DATA BREACHAvg cost ₹17.9Cr (India 2024) · DPDP penalty up to ₹250Cr · Notification within 72 hrs BEC FRAUDAvg loss ₹1.2Cr per incident · 89% of orgs targeted · 62% recovery rate DOWNTIME₹5.4L per hour for mid-market · 16 hrs avg recovery · 43% of incidents cause downtime RANSOMWAREAvg financial impact ₹4.8Cr per incident · Recovery time 23 days · Probability 34% annually DATA BREACHAvg cost ₹17.9Cr (India 2024) · DPDP penalty up to ₹250Cr · Notification within 72 hrs BEC FRAUDAvg loss ₹1.2Cr per incident · 89% of orgs targeted · 62% recovery rate DOWNTIME₹5.4L per hour for mid-market · 16 hrs avg recovery · 43% of incidents cause downtime
AI Powered Full Stack Cyber Resilience
Gordon Financial Impact · by Mitigata

Your Board Wants Numbers,
Not Jargon.

Gordon Financial Impact quantifies your cyber risk exposure in financial terms — so your board understands it, your budget reflects it, and your insurance covers it. Stop guessing. Start measuring. FAIR-based risk quantification in INR and USD, with board-ready reports in one click.

FAIR-Based Risk Quantification — annualised loss expectancy in INR and USD
Board-Ready Risk Reports — one-click executive reports for your CISO and board
Security Investment ROI — justify every rupee of security spend with data-driven calculations
₹17.9Cr
Avg breach cost India
3.2x
Avg security ROI
94%
Board approval rate
Gordon Financial Impact — Risk Dashboard
LIVE
Total Annual Cyber Risk Exposure
₹0
Security Spend ROI
3.2x
Platform Capabilities

Translate risk into
financial language.

FAIR-Based Risk Quantification

Gordon uses the FAIR (Factor Analysis of Information Risk) methodology — the global standard for cyber risk quantification — to calculate the probable financial loss from each threat scenario, expressed as a range with confidence intervals.

Board-Ready Risk Reports

Generate executive-level risk reports in one click — showing total cyber risk exposure, top risk scenarios, year-over-year trend, and recommended investments. Formatted for board presentations, audit committees, and regulatory submissions.

Security Investment ROI

Model the financial return on every security investment. Gordon calculates the risk reduction value of each proposed control — so you can prioritise the investments that deliver the highest financial return and build a data-driven security budget.

Regulatory Penalty Modelling

Gordon models the financial exposure from regulatory penalties — DPDP Act (up to ₹250Cr), RBI IT framework, SEBI cybersecurity guidelines, and IRDAI regulations — so you understand the full cost of non-compliance before an incident occurs.

Cyber Insurance Optimisation

Use Gordon's risk quantification output to right-size your cyber insurance coverage — avoiding both under-insurance (leaving you exposed) and over-insurance (wasting premium). Gordon's reports are accepted by leading cyber insurers for underwriting.

Scenario-Based Stress Testing

Run financial stress tests for specific attack scenarios — ransomware, supply chain breach, insider threat, DDoS. See the worst-case, most-likely, and best-case financial outcomes for each scenario, with probability distributions and confidence intervals.

How It Works

From security data
to financial insight.

LIVE RISK QUANTIFICATION PIPELINE — FAIR MODEL
CALCULATING
High financial exposure
Medium exposure
Mitigated / Insured
01

Connect Your Security Stack

Gordon integrates with your existing security tools — SIEM, vulnerability scanners, EDR, and GRC platforms — to automatically ingest your current risk posture data. No manual data entry required.

02

Define Business Context

Input your revenue, employee count, industry, and critical assets. Gordon uses this context to calibrate risk calculations to your specific business — a ₹500Cr manufacturing company has very different risk exposure to a ₹50Cr SaaS startup.

03

Run Risk Quantification

Gordon runs Monte Carlo simulations across 50+ threat scenarios, calculating the annualised loss expectancy (ALE) for each. Results are expressed as financial ranges with 10th, 50th, and 90th percentile outcomes.

04

Generate Reports & Act

Generate board-ready reports, investment ROI models, and insurance coverage recommendations in one click. Track how your financial risk exposure changes as you implement security controls over time.

Real-World Impact

Risk in numbers.
Decisions in confidence.

MANUFACTURING

Board Approved ₹8Cr Security Budget

CHALLENGE

A ₹1,200Cr manufacturing company's CISO needed board approval for an ₹8Cr security investment but couldn't articulate the financial justification beyond "compliance requirements."

OUTCOME

Gordon's quantification showed ₹34Cr annual cyber risk exposure. The ₹8Cr investment would reduce exposure by ₹26Cr — a 3.25x ROI. The board approved the budget in the same meeting.

₹34Cr
Risk quantified
3.25x
Security ROI
1 meeting
Board approval
BANKING

Right-Sized Cyber Insurance

CHALLENGE

A mid-sized private bank was paying ₹2.4Cr annually for a ₹50Cr cyber insurance policy — but had no data on whether ₹50Cr was the right coverage amount for their actual risk exposure.

OUTCOME

Gordon's analysis showed the 90th percentile loss scenario was ₹78Cr — meaning they were underinsured by ₹28Cr. They increased coverage and reduced premium by 18% by using Gordon's risk data to negotiate with insurers.

₹28Cr
Coverage gap found
18%
Premium reduction
₹78Cr
P90 exposure
HEALTHCARE

DPDP Penalty Risk Quantified

CHALLENGE

A hospital chain with 2M+ patient records needed to understand their financial exposure under the DPDP Act — specifically the penalty risk from their current data protection gaps.

OUTCOME

Gordon modelled ₹180Cr in potential DPDP penalties from identified gaps. A ₹3.2Cr remediation programme reduced the penalty exposure to ₹12Cr — a 56x risk reduction. The CFO signed off within a week.

₹180Cr
Penalty exposure
56x
Risk reduction
1 week
CFO sign-off
Pricing

Full-Stack Cyber Resilience, Powered by AI.

Choose the plan that fits your team. Upgrade or cancel anytime.

Monthly
Annual SAVE VS MONTHLY
Free
$0
15-day trial
 

Explore the platform with limited access. No credit card required.

Get Started
Mid-Market
$33,820
/yr
Save ~$6,764 vs monthly

For companies with 100–500 employees. Expanded limits across all modules.

Start Free Trial
Enterprise
$66,070
/yr
Save ~$13,214 vs monthly

For large enterprises 500+ employees. Unlimited scale, dedicated support, and custom SLAs.

Talk to Sales
Included Not available limit = Usage limit
Features Free Startup
$1,787/mo
Mid-Market
$3,382/mo
Enterprise
$6,607/mo
Attack Surface Monitoring12 scans/year
Monitored Assets (Domains, IPs, Mobile Apps)3 assets10 assets
Exposed subdomains & open ports
SSL/TLS certificate health
DNS anomalies & misconfigurations
Web technology fingerprinting
CVE & vulnerability scoring
Continuous monitoring & alerts
SOC Monitoring24/7
Monitored EndpointsUpto 500Upto 2,000
AI-powered alert triage
Kill-chain reconstruction (MITRE ATT&CK)
Automated response playbooks
CERT-In 6-hour incident reporting
Threat intelligence (IOCs, Campaigns)50 threats, 20 IOCsUnlimited
Workforce Risk & Security Awareness
Monitored EmployeesUpto 500Upto 2,000
Email phishing simulation
Custom phishing templates
Security awareness training + LMS
Dark Web Monitoring
Monitored Keywords (brand, legal name, vendors)1 keyword5 keywords
Tor forums, paste sites, Telegram channels
Breach databases & data dumps
Ransomware & APT group monitoring
Cloud Security & Billing Monitoring
Cloud Instances Monitored2 instances5 instances
Misconfiguration detection (CIS 572 benchmark)
IAM & privilege escalation checks
S3 / Blob public exposure alerts
Cloud billing tracking & optimisation
GRC & ComplianceAudit charges extra
Compliance Frameworks4 frameworks5 frameworks
Automated control mapping
AI gap assessment & remediation tasks
Policy & procedure auto-generation
Risk register automation
AI-based internal audit & audit-ready reports
Trust center
Third Party Risk Management (TPRM)
Vendors Monitored250 vendors1,000 vendors
AI security questionnaire dispatch & scoring
Continuous external surface scan
Breach & dark web alerts for vendor
Risk rating (A–F) with trend
Gordon AI
AI Credits / Tokens1,000 credits1,000 credits
Auto-generated risk narratives
One-click remediation playbooks
Executive summary generation
AI-assisted questionnaire filling (CRQ)
Threat intelligence summaries
Brand Intelligence & Takedowns
Brand Assets Monitored3 assets, 60 keywords5 assets, 100 keywords
Fake domain / phishing page / typosquat monitoring
Reverse imaging / logo detection
Social media & counterfeit listing monitoring
Takedowns (Rogue app, DMCA, Phishing pages)100 takedowns125 takedowns
Consent Manager (DPDPA)
Unique Consents (website / mobile app users)100K consents500K consents
Granular consent collection & withdrawal
15+ platform integrations
22 Indian language translation (DPDPA Art. 18)
Cookie scanner, data deletion & grievance requests
Google Consent Mode V2 support

All plans include a 15-day free trial — no credit card required.

FAQ

Common questions
answered honestly.

FAIR (Factor Analysis of Information Risk) is the international standard for cyber risk quantification, developed by the Open Group. It provides a rigorous, repeatable methodology for calculating the probable financial loss from cyber events — moving beyond qualitative red/amber/green ratings to actual monetary values. Gordon uses FAIR as the foundation for all risk calculations, ensuring your results are defensible to auditors, boards, and regulators.
Gordon uses Monte Carlo simulation to generate probability distributions rather than single-point estimates — so instead of saying "your ransomware risk is ₹5Cr," we say "there is a 10% probability of a loss exceeding ₹12Cr, a 50% probability of a loss exceeding ₹4.8Cr, and a 90% probability of a loss exceeding ₹1.2Cr." This range-based approach is more honest and more useful for decision-making than false precision.
Yes. Gordon's risk quantification reports are accepted by leading cyber insurers including Bajaj Allianz, HDFC Ergo, and international underwriters for policy underwriting and renewal negotiations. Using Gordon's data, clients have achieved premium reductions of 15–25% by demonstrating their actual risk posture rather than relying on generic industry benchmarks.
Yes. Gordon includes specific models for DPDP Act penalties (up to ₹250Cr for significant data fiduciaries), RBI IT framework penalties, SEBI cybersecurity guidelines, and IRDAI regulations. These regulatory penalty models are updated as regulations evolve, ensuring your exposure calculations always reflect the current regulatory environment.
Gordon integrates with common SIEM platforms (Splunk, Microsoft Sentinel, IBM QRadar), vulnerability scanners (Qualys, Tenable, Rapid7), EDR solutions (CrowdStrike, SentinelOne), and GRC tools. Data is ingested automatically to populate risk models — reducing the manual effort of risk quantification from weeks to hours.
Gordon runs continuous background risk monitoring, with full quantification reports generated monthly. We recommend quarterly board reports and an annual deep-dive risk quantification exercise. Significant events — a major vulnerability disclosure, a breach at a competitor, or a new regulatory requirement — trigger automatic re-quantification of affected scenarios.
Get Started Today

What is your cyber risk
actually worth?

Run a free risk quantification assessment and find out your total annual cyber risk exposure — in rupees and dollars — in under 30 minutes.

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