— the six categories of harm the tool is designed to surface before technology is deployed."> — Preventing Harm Before It Happens"> Skip to main content
Alt-TAB
Evidence, not claims

What the data shows

Alt-TAB doesn't ask you to take its word for it. With the consent of people who completed assessments, anonymised patterns are published here. Nothing is tracked without permission. Your product description and answers are never stored. What you see below comes only from assessments where users chose to contribute to the research. This is what happens when builders stop and ask the right questions before they deploy. The gaps are consistent, common, and almost always preventable.

Assessments completed
97%
Had serious gaps before deployment
Most common gaps identified
Loading...

These figures reflect assessments completed since 16 May 2026, when privacy-preserving analytics were introduced. Domain-level data is still accumulating and will become more representative over time.

Blindspot patterns found across all assessments
Bar length shows count relative to the most common blindspot type. Numbers show total instances found across all assessments.
Second-order risks 61 instances
People consistently miss how their product could be misused in ways they never imagined. A fitness app becoming a stalking tool. A messaging platform enabling coercive control. These aren't edge cases. They're the norm.
Missing context 56 instances
Gaps in understanding who is actually affected. Products built for "general users" that will inevitably reach vulnerable people, including children, people experiencing family violence, and communities with no digital literacy support.
Confident ignorance 53 instances
The most dangerous gap. People who are certain they've considered the risks, but haven't. Shows up when someone answers "yes" to safeguards and "no" to harm severity, then describes a product that contradicts both.
False safety 40 instances
Relying on safeguards that don't protect against the actual risk. A terms of service. A contact email. A verbal assurance. These appear in the safeguards field but provide no meaningful protection.

Figures update live as new assessments are completed. Average: 5.7 blindspots per assessment.

Which risk areas appear most frequently

How often each risk area is identified across all assessments. Mandatory screens (technology-facilitated gender-based violence and cybersecurity) are checked in every assessment regardless of answers.

Data accumulating. Check back as more assessments are completed.
Mandatory in every assessment: Child safety, technology-facilitated gender-based violence, and cybersecurity are screened in every assessment regardless of how domain questions are answered. Child safety is the highest-priority screen: it applies to every product, not only those where builders identified children as users. These mandatory screens exist precisely because they catch risks builders did not recognise themselves.

A domain is flagged when a user answers "yes" or "maybe" to that risk area in their domain questions.

What people are assessing
Breakdown of assessments by type.
Child safety & exploitation

Products involving children carry the highest risk profile in any assessment. The gaps we find most often: features that let adults contact children without verification, missing age checks, no parental consent process, and AI-generated content with no child safety review.

What makes these gaps so dangerous is that they're usually invisible to the person who built the product. A platform for kids to share artwork, make friends, or access learning can become a place where harm happens, not through bad intentions, but through missing safeguards nobody thought to put in place.

Example scenario assessed
"A private messaging app for teenagers to chat with strangers anonymously, scored 9/100. Seven blind spots identified including no age verification, no grooming detection, no moderation, and no parental consent mechanism.

Indigenous & cultural harm

Products built for or deployed in Aboriginal and Torres Strait Islander communities, or any Indigenous community, carry obligations that most technology governance frameworks haven't caught up with yet. Alt-TAB applies the CARE Principles for Indigenous Data Governance and the AIATSIS Code of Ethics to find what's missing.

The most common failures: collecting cultural data, voice recordings, or location information without community consent; AI-generated content that could surface sacred or restricted knowledge; and deployment decisions made without Free, Prior and Informed Consent from the communities involved.

Example scenario assessed
"A gaming app for Aboriginal children aged 612 in remote NT communities, collecting voice recordings and cultural background data, funded through in-app advertising", scored 4/100. Identified as a systemic failure requiring immediate halt to launch plans.

Technology-facilitated abuse

Technology-facilitated abuse covers any product feature that can be turned into a tool for coercive control, stalking, harassment, or image-based abuse. These are usually features built with good intentions: location sharing, device monitoring, private messaging, AI-generated imagery. The harm comes from how they can be used, not how they were designed.

Alt-TAB applies the eSafety Commissioner's Safety by Design framework and the Technology-Facilitated Gender-Based Violence Industry Guide to find these risks. The gap we see most often: products that assume their users are safe, when some of them aren't, and that haven't thought through what their features look like in a coercive relationship.

Example scenario assessed
"A smart home management app with location sharing, remote device control, and family monitoring features", flagged for coercive control risk through location tracking and device access without consent withdrawal mechanisms.

Data exploitation

Data exploitation covers products that collect more than they need, use data in ways people wouldn't expect, share it with third parties without being upfront about it, or don't give people real control over their own information. In Australia, this triggers obligations under the Privacy Act 1988 and the Australian Privacy Principles.

The consent gaps we find most often: products relying on buried terms-of-service rather than genuine consent, products using third-party AI providers without checking what those providers do with the data, and products collecting sensitive information from vulnerable people without the safeguards those people deserve.

Example scenario assessed
"A workplace wellbeing platform using AI to analyse employee survey responses, identified gaps in employee consent for AI analysis, data retention policies, and third-party data sharing with the AI provider. Scored 97/100 after safeguards were documented.

Exclusion by design

Exclusion by design is what happens when a product simply doesn't work for people with disability, people from culturally and linguistically diverse backgrounds, people with low digital literacy, or people in low-bandwidth environments. These failures are rarely deliberate. They happen when products are built and tested only by people who don't face these barriers.

Alt-TAB's ninth domain applies WCAG 2.2, the Australian Disability Discrimination Act, the CARE Principles, and the Design Justice Network Principles to find these gaps. The finding we see most: products that have never actually been tested with the communities they say they're built for.

Example scenario assessed
"A government benefits portal for low-income Australians, identified no WCAG testing, no accessibility provisions, no multilingual support, and no engagement with First Nations communities. Scored 18/100.

Accountability failures

Accountability failures happen when nobody is clearly responsible for safety outcomes, there's no plan for when things go wrong, affected people have no way to seek help, and whatever governance exists lives in a document nobody looks at. These failures make every other risk worse, because when something goes wrong, there's no one positioned to act.

The finding we see most often: a contact email is not an accountability structure, and good intentions are not a safety plan. Alt-TAB applies the UN Guiding Principles on Business and Human Rights, the NIST AI Risk Management Framework, and the OECD AI Principles to find where the gaps actually are.

Example scenario assessed
"A mental health platform for teenagers using AI-generated wellbeing advice, no named accountability, no clinical oversight of AI outputs, no crisis escalation pathway. Scored 12/100. First recommendation: do not launch.

Technology-facilitated gender-based violence

Technology-facilitated gender-based violence gets checked in every Alt-TAB assessment, regardless of how you answer the domain questions. That's because the risk is almost always invisible to the builder. A fitness app, a smart home controller, a budgeting tool, a messaging platform, any of these can become an instrument of coercive control without a single line of malicious code.

Any product that stores location data, enables communication, controls devices, tracks activity, manages finances, or handles health data is a potential technology-facilitated abuse vector. We apply the eSafety Commissioner's Safety by Design Technology-Facilitated Gender-Based Violence Industry Guide and ask the questions most founders never thought to ask themselves.

Example scenario assessed
"A fitness tracking app with real-time location sharing and activity monitoring, technologyy-facilitated gender-based violence risk flagged despite founder answering 'No' to interaction and exposure risks. Questions generated: "Have you assessed whether this app could be used to stalk a partner?" and "Is there a safety exit feature for users experiencing coercive control?"

Cybersecurity failures

Any product that collects personal data gets checked against the ASD Essential Eight Maturity Level 1 as a cybersecurity baseline. Data breaches, weak access controls, unpatched vulnerabilities, and missing incident response plans aren't just technical problems. For products holding sensitive information about vulnerable people, they're harm events.

The gaps we find most: no penetration testing, no multi-factor authentication on backend systems, no data breach response plan, and no alignment with the Australian Signals Directorate's Essential Eight. Cybersecurity is an ethical obligation, not just a technical one.

Example scenario assessed
"A mental health platform for teenagers using AI-generated wellbeing advice, cybersecurityity flagged alongside child safety gaps. Questions generated: "Has your app undergone independent penetration testing?" and "Do you have a documented incident response plan aligned with the ASD Essential Eight?"

Sound familiar?

If any of this resonates with what you're working on, that's exactly why Alt-TAB exists. Free, about 15 minutes, no account needed.

Start your free assessment

Want to understand the frameworks behind these findings? Read the plain-language framework guides