RELIQ turns your cyber risk into a real rupee figure (FAIR-based, grounded in your live posture) — so you can prioritise by exposure, justify security ROI, right-size insurance, and give your board a number they can actually govern.
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This page covers RELIQ — risk quantification. The rest of the stack:
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
Mitigata’s cyber-risk quantification engine — turns your cyber risk into a real rupee figure (FAIR-based) you can actually manage.
What consolidation actually replaces, dimension by dimension.
| Dimension | Unprotected / signature email | Mitigata RELIQ (Mitigata) |
|---|---|---|
| How risk is expressed | High/medium/low, colours | A rupee figure |
| Comparing risks | Meaningless | By financial exposure |
| Justifying spend | Guesswork / politics | Risk-reduction ROI |
| Sizing insurance | A guess | To real quantified exposure |
| Board governance | Ungovernable colours | A governable number |
| Method | Arbitrary / gut | FAIR (the standard) |
| Inputs | Static questionnaire | Live real posture |
| Connection | Standalone report | Drives security & insurance |
Cyber risk in high/medium/low colours is useless — you can't prioritise, fund, insure or govern it. RELIQ makes it a defensible rupee figure (FAIR-based) that drives your security and insurance.
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Analyses your actual exposure — your assets and their value, the threats you face, and your vulnerabilities (informed by the live security Mitigata runs) — the real basis for quantification.
Applies the FAIR methodology (Factor Analysis of Information Risk — the recognised cyber-risk-quantification standard) to express your risk as loss magnitude × likelihood, in financial terms.
Produces a real financial figure for your cyber risk — how much you stand to lose, with what likelihood — turning vague qualitative risk into a measurable, comparable rupee number.
Lets you prioritise the risks with the biggest financial exposure, and justify security investments by the risk-reduction (ROI) they buy — funding decisions grounded in money, not hunches.
The quantified exposure right-sizes your cyber insurance (to your real figure, not a guess) and informs your security-linked cover — so risk, security and insurance connect through one number.
One FAIR-based model of your exposure — cyber risk expressed as a financial figure that ranks spend and sizes cover.
RELIQ quantifies your cyber risk financially (FAIR) and connects it to real decisions. What it delivers:
One accountable partner — not a dozen point vendors. TechBag scopes exactly what you need in INR/GST.
Cyber risk in colours is useless — RELIQ makes it a rupee figure you can manage — part of the Mitigata portfolio.
Uses the FAIR methodology, the recognised standard for cyber-risk quantification, so your figure rests on a defensible method.
Expresses cyber risk as how much you stand to lose and how likely it is, replacing high/medium/low with a comparable number.
Grounded in the live security Mitigata runs via Gordon, so the figure reflects your current posture, not a static questionnaire.
Models specific scenarios — a ransomware hit, a data breach, a system compromise — in financial terms, so you see their exposure.
Prioritises by financial exposure, so budget goes to the biggest potential losses, not whatever is loudest or newest.
Justifies security spend by the rupee risk-reduction it buys, so you pick controls that cut the most risk per rupee.
Sizes cyber insurance to your quantified exposure, so you’re neither over-insured nor dangerously under-covered.
As risk is a number, you can compare risks and track it trending down as you remediate — measurable progress.
Gives your board a business-terms figure for cyber risk, so they govern it like any other risk, as DPDP and SEBI expect.
FAIR-based and grounded in real posture, the figure stands up with regulators, auditors, insurers and your board.
The quantified exposure feeds Mitigata’s security-linked cyber insurance, right-sizing the cover you buy from the same partner.
Runs in the Gordon console alongside security, compliance and insurance, so risk, controls and cover form one picture.
The overview, getting started, and the core workflows.
Quantified risk driving insurance & security.
Want a live, India-context walkthrough for your environment?
Book a guided demo →Here’s what genuinely sets RELIQ apart.
Most organisations express cyber risk as high/medium/low or red-amber-green heatmaps, which can’t rank risks, justify spend, size insurance or let a board govern. RELIQ uses the FAIR methodology to express cyber risk as a rupee figure — how much you stand to lose, with what likelihood — so it is managed like any other business risk.
A risk figure is only useful if it is defensible. RELIQ uses FAIR, the recognised quantification standard, and grounds its inputs in the live posture Mitigata sees through the SOC, VAPT and Gordon rather than a questionnaire, so you can stand behind the number with regulators, auditors, insurers and your board.
With rupee figures you can rank risks by real exposure rather than whichever is loudest, justify a control by the risk it removes per rupee spent, and size cyber insurance to your actual exposure instead of over- or under-insuring. Because RELIQ sits in Mitigata’s stack, that figure feeds its security-linked cover directly.
Boards govern in money, but cyber risk reaches them as colours and jargon. DPDP puts data-protection accountability on leadership and SEBI’s framework requires board oversight of cyber resilience, so RELIQ gives the board a FAIR-based rupee figure to compare with other risks, judge investment against and track over time.
RELIQ’s figure isn’t a standalone report. It is grounded in the live security Mitigata runs and updates as posture changes, it steers security priorities through Gordon towards the largest exposures, and it right-sizes the security-linked cyber insurance you buy from the same partner: one number linking posture, decisions and cover.
RELIQ turns cyber risk into a FAIR-based rupee figure grounded in real posture and linked to Mitigata’s security and cyber insurance. Dedicated CRQ specialists such as RiskLens and Safe Security go deeper on standalone modelling and scenario libraries; RELIQ’s edge is a connected, actionable figure in rupees.
How you express risk today, the decisions you struggle with (prioritise, fund, insure) and board needs. TechBag scopes it free.
RELIQ analyses your assets, threats and vulnerabilities, informed by live posture, and produces a FAIR-based rupee risk figure.
Prioritise by financial exposure, justify security ROI, and right-size your insurance to your quantified figure — decisions grounded in money.
Give the board a governable figure, track risk as you remediate, and feed security and insurance. TechBag models it in INR/GST.
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
“A rupee figure let us prioritise by real exposure and justify security spend with actual ROI. High/medium/low never did that.”
“Our board can govern a financial figure like any other risk, which matters now that DPDP and SEBI make cyber a board duty.”
“FAIR-based and grounded in our real posture, the figure held up with auditors, regulators and our insurer. A heatmap colour wouldn’t.”
“RELIQ sized our cyber cover to our quantified exposure, no guessing, and it fed Mitigata’s insurance directly.”
“We justified a security investment to finance by the rupee risk-reduction it bought. Quantification got our security funded.”
“One number tying our live security, priorities and insurance together is far more useful than a standalone quantification report.”
“Watching our quantified risk trend down as we remediated gave us measurable proof of progress, not vague reassurance.”
“A pure CRQ specialist might go deeper on modelling, but RELIQ’s connected figure fit our need to drive real decisions.”
Analyst firms bury this view behind paywalls, and review-site grids score satisfaction, not fit for your estate. So here’s TechBag’s synthesis of the cybersecurity market — tap any vendor to see why it sits where it does.
Execution strength vs product vision — the classic market map, minus the paywall.
Connected FAIR CRQ — drives security & insurance. This page's product.
The grid nobody publishes — risk-quantification depth vs posture-connected actionability.
Connected + posture-grounded + India-native.
Positions are TechBag’s illustrative synthesis of public review-platform data and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.
RiskLens, Safe Security, qualitative heatmaps and none — honest lanes; the edge is FAIR-based CRQ grounded in your live security, that drives your security priorities AND right-sizes your insurance.
| Dimension | RELIQ (Mitigata) | RiskLens | Safe Security | Qualitative heatmaps | No quantification |
|---|---|---|---|---|---|
| Position | FAIR CRQ in a connected stack | The FAIR CRQ pioneer | CRQ platform | Colours on a grid | The gap |
| Financial figure (money, not colours) | Rupee figure | Yes (its core) | Yes | No | No |
| FAIR methodology (defensible) | Yes | FAIR co-creators | FAIR-based | No method | N/A |
| Grounded in LIVE security you run | Yes — from Mitigata's ops | Data inputs / integrations | Integrations | Questionnaire | No |
| Drives security priorities | Feeds Gordon / the SOC | Informs, separately | Informs | No | No |
| Right-sizes your INSURANCE | Feeds Mitigata's cyber cover | Informs (separate insurer) | Informs | No | No |
| Board-ready & defensible | Yes | Yes (deep) | Yes | Simple but vague | No |
| India-native (rupees, context) | India-native | Global | Global | Generic | N/A |
| Part of one accountable stack | Security + compliance + insurance | Standalone CRQ | Standalone CRQ | A tool/spreadsheet | None |
| Best fit | Orgs wanting connected, actionable CRQ that drives security & insurance | Deepest standalone FAIR CRQ | Standalone CRQ platform | Nobody serious — colours don't enable decisions | Nobody — unmeasured risk is unmanageable |
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Drag the sliders (count users; IT-hour cost as loaded security rate). Estimates assume ~1.5 hours per user per year of manual effort this tool automates away, with ~70% of that effort removed — the avoided-risk value is the larger, unpriced win. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models your actual environment and modules.
RELIQ is typically scoped within the Gordon platform (so the figure is grounded in your live security and feeds your insurance) — priced by your organisation and quantification depth. TechBag scopes it and quotes in INR/GST.
Best for risk quantification
Best for a broader rollout
Best complete
Whatever the list prices above, TechBag negotiates a significantly better deal — with GST-compliant INR invoicing and local support. Ask us for your discounted quote.
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Are you stuck with high/medium/low colours that can't support real decisions?
Turn your cyber risk into a defensible FAIR-based rupee figure with RELIQ.
Base the figure on your real, live posture — not a static questionnaire.
Prioritise your risks by financial exposure, not by what's loudest.
Justify security investments by the risk-reduction (₹) they buy.
Right-size your cyber insurance to your quantified exposure.
Give your board a governable cyber-risk figure (DPDP/SEBI governance).
Feed the figure into your security priorities and insurance — TechBag quotes in INR/GST.
Scope RELIQ (FAIR-based cyber-risk quantification in rupees, grounded in your live posture, that drives security priorities and right-sizes insurance), give your board a governable figure, or let a TechBag advisor plan your risk quantification.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.