Scrubdrill

Three-minute security drills that fit into hospital shift handovers

Employers

TL;DR Scrubdrill gives hospital staff a three-minute, game-style security drill on their phones at each shift handover, based on what really happens on wards - shared logins, fake vendor emails and USB sticks in the lab. Hospital groups pay per bed per year. It asks for minutes, not half-day sessions nobody can attend.

The problem

In November 2022 a phishing email opened by one employee at AIIMS Delhi led to a ransomware attack. Emergency, outpatient, inpatient and lab services ran on paper, and online appointments took about 19 days to come back[1]. ThePrint reported that AIIMS spent more than two weeks trying to restore lost data[2].

And hospital staff are hard to train. Nurses work rotating shifts, and front-desk and billing staff turn over quickly. When researchers phished 819 staff at a big Norwegian hospital, more than half clicked - 65% of controls and 53% of the untreated group. An extra priming step didn't change that in any significant way[3].

So who's actually sitting in the annual classroom session? Not the people who are never off the ward at the same time.

The idea

Scrubdrill is a phone-based drill programme built around the hospital day. At each shift handover, staff open one drill. It's a short scenario with a choice to make. Maybe a lab analyser vendor emails a "firmware update" link, a colleague asks to borrow your login to finish a discharge, or a patient's relative asks the front desk to email reports to a new address. Each drill takes about three minutes and gives points for the right call, with ward-level leaderboards for teams that like them.

Content changes by role. Nurses get shared-workstation and login scenarios, billing gets payment and insurance fraud, and IT gets incident drills timed against the six-hour CERT-In reporting rule[4]. Phishing simulations run monthly by email, and every reported phish earns more points than a correct drill.

What it does in regulatory terms: staff training only. Scrubdrill does not touch patient records or clinical systems.

The seed pitched gamified micro-learning for everyone. I narrowed it to hospitals, because the cost of an attack there is measured in delayed care and because shift work breaks the usual training model.

Who pays

The users are nurses, ward clerks, front-desk, billing and lab staff. The payer is the hospital's IT head, often with the quality or accreditation team. Global per-seat awareness tools list at about ₹2,300–3,700 per seat per year (US$23.64–38.28)[5]. Pricing per bed and not per seat makes high-turnover staff cheaper to cover, and it makes the budget easy to compare across hospitals in a group.

Why now

DPDP penalties apply from 13 May 2027, up to ₹250 Cr for failing reasonable security safeguards[6], and hospitals hold some of the most sensitive data there is. The AIIMS attack made hospital ransomware real for Indian boards[1]. Staff now carry smartphones on shift, so a three-minute drill doesn't need a training room.

Market signal

I found no figure for spending on cyber training in Indian hospitals. The adjacent evidence is that general awareness tools sell at scale - one Indian awareness platform says it has trained more than 4.8 million employees[7], and the global market leader publishes its seat prices openly[5]. Neither number is specific to healthcare, so treat both as proof the category sells, not as its size.

Who's already doing this

An Indian awareness platform offers phishing simulation and an AI-personalised learning system[7]. The US market leader sells global awareness training with healthcare content[5]. Both assume staff sit at desks with company email, which nurses mostly don't.

The gap is training designed for rotating ward shifts, shared terminals and high turnover, sold in terms a hospital already budgets in.

How hard is it?

Difficulty Moderate (35/100)
Starting capital ₹35–70 L
Time to launch 3–5 months

The app is simple. Two things are hard. Scenarios have to feel true to Indian wards, so you need nurses and hospital IT staff writing them. And hospitals buy slowly, because the decision runs through IT, quality and finance and private groups will want a pilot with results before they roll anything out.

Licences and approvals

No sector licence. This is staff training software, so medical-device rules don't apply.

  • DPDP Act and Rules. Staff scores are personal data. The hospital is the fiduciary and you are its processor, so sign processor terms before the first pilot[6].
  • CERT-In directions. Hospitals must report listed incidents within six hours, so IT drills should rehearse that clock[4].
  • No patient data. Never use real patient records in scenarios. That keeps the product clear of clinical data rules from launch.
  • Baseline. Company or LLP registration with the MCA and GST once over the threshold.

Building this outside India? The categories above usually have a local equivalent, so check with your own regulator.

How AI can power this business

  • Scenario writing by role. AI drafts new drills for nurses, billing and front desk staff from recent attack patterns, and a reviewer checks them before release.
  • Language versions. It turns each drill into the languages ward staff use, so the three-minute format works across a hospital group.
  • Phish report triage. When staff report a suspicious email, a model sorts real threats from drills and sends real ones straight to IT.
  • Ward reports. It summarises completion and reporting trends per ward for the nursing head.

Keep AI well away from patient records and clinical systems. Scrubdrill trains staff only, and its scenarios should never use real patient data.

Want to work out the AI layer for Scrubdrill? Talk to Yash →

Biggest risks

  • Low participation. If ward managers don't make drills part of handover then completion drops within weeks.
  • Long sales cycles. Hospital groups may take two or three quarters to decide, which strains a small team's cash.
  • Proof of effect. Hospital studies show phishing behaviour is hard to shift[3], so any gains you promise have to be modest.

Our take

I'd back this for a founder with hospital operations or nursing experience who can win a pilot at one private hospital group. If you're a generic e-learning team then it's a poor fit. Prove first that drill completion stays above 70% for eight weeks on two wards, and that the phish-reporting rate goes up.

Questions founders ask

Plan for roughly ₹35–70 L, mostly on building role-based drills and winning the first hospital pilot.

Do I need a licence to start a cybersecurity training business for hospitals in India?

No. It's staff training software, so you need DPDP processor terms with the hospital, company registration and GST once over the threshold.

Can I start hospital staff cyber training in another country?

Yes. Hospitals everywhere face phishing and shared-login risks. Check the local health data and privacy law before you sell.

Download the kit

The free Scrubdrill validation kit has the line-by-line capital breakdown, the effort scoring, the data-protection and incident-reporting checklist, a 14-day validation sprint with pass/fail targets, a 90-day launch plan, 10 interview questions for hospital IT and nursing heads, and 5 assumptions to test. Download the kit →

Talk to Yash

Thinking about building Scrubdrill or something close to it? The make-or-break work is getting ward managers to make drills part of every handover, and I can help you figure out how to win them over. If you need a hand, you know where to find me. Talk to Yash →

Sources

  1. Wikipedia, "All India Institute of Medical Sciences, New Delhi" (2022 cyberattack section, citing Economic Times and Times of India), accessed 2026-10-21. https://en.wikipedia.org/wiki/All_India_Institute_of_Medical_Sciences,_New_Delhi
  2. ThePrint, Praveen Swami, "India is dangerously unprepared for Chinese cyber war, AIIMS ransomware attack shows why", 2022-12-08. https://theprint.in/opinion/security-code/india-is-dangerously-unprepared-for-chinese-cyber-war-aiims-ransomware-attack-shows-why/1254217/
  3. Yeng et al., "Cognitive dissonance-based priming intervention: in-the-wild phishing simulation in health care", JMIR 28:e68051, 2026. https://pmc.ncbi.nlm.nih.gov/articles/PMC13225503/
  4. CERT-In, "Directions under section 70B(6) of the IT Act", 2022-04-28. https://www.cert-in.org.in/PDF/CERT-In_Directions_70B_28.04.2022.pdf
  5. KnowBe4, "Security awareness training pricing", May 2026. https://www.knowbe4.com/pricing-kevin-mitnick-security-awareness-training
  6. Grant Thornton Bharat, "From mandate to momentum: DPDPA 2023 and final rules", 2025-11-25. https://www.grantthornton.in/globalassets/1.-member-firms/india/assets/pdfs/flyers/dpdpa___one_pager_final__25th_november_2025__3.pdf
  7. Threatcop, official site, accessed 2026-10-21. https://threatcop.com/

For illustration only. Names are fictional and ideas hypothetical; sourced facts are real but may be out of date. Nothing here is legal, financial or professional advice, and Yash Khatri is not personally liable for any use of it. Read the full disclaimer.

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