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Intelligence View
⚡ tsecurity.de Intelligence

Why I Built a Child-Safe AI App After ChatGPT Terrified My Kid

My child asked ChatGPT about snakes. What came back wasn't a fun fact about how snakes shed their skin or where they live. It was a detailed description of the world's most dangerous snakes, how they kill, and which ones could be found…

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My child asked ChatGPT about snakes. What came back wasn't a fun fact about how snakes shed their skin or where they live. It was a detailed description of the world's most dangerous snakes, how they kill, and which ones could be found nearby.



Weeks of nightmares followed. Anxiety at bedtime. Questions I wasn't ready to answer.



That's when it hit me: AI isn't built for children.



The Problem Nobody Was Solving



Every major AI assistant is designed for adults. When companies add "kid safety," they bolt on content filters after the fact. But filtering adult AI isn't the same as building for kids from the ground up.



Children need:



• Age-appropriate language (not just censored adult language)

• Developmentally suitable responses (a 5-year-old and a 12-year-old need different answers)

• Encouraging, educational interactions (not just "safe" ones)

• Parental visibility into what's being said

So I Built Askie



Askie (https://kidsai.app) is an AI voice chat and art creation app designed specifically for children ages 4-15. It's not ChatGPT with a filter. It's a completely different experience.



Voice-First Design



Nearly half of our active users hit their voice chat limits. Kids don't want to type. They want to talk. Askie lets them have natural voice conversations powered by Google Gemini, in an environment that understands they're children.



AI Art Creation



Kids can create images with AI. The image generation is designed to produce age-appropriate, creative content. No violence, no inappropriate imagery. Just imagination.



Parent-First Trust



• COPPA compliant from day one

• Full conversation transcripts parents can review

• Parental controls built into the core experience

• Ad-free. Always.

What I Learned Building This




  1. Safety Isn't a Feature, It's the Architecture - You can't add child safety as an afterthought.

  2. Voice Is the Killer Feature - Kids gravitate to voice interaction naturally.

  3. Small Markets Win - We're #1 for "AI for kids" in Israel and have strong UK traction.

  4. Parents Buy, Kids Use - Marketing speaks to two audiences.
    The Numbers



• 2,500+ families trust Askie

• Available on iOS, Android, and web

• Freemium with premium plans

Try it: https://kidsai.app

CTI Threat Relationship Graph2 Knoten / 1 Relationen
CVE / Incident Software MITRE ATT&CK CWE Weakness IoC
SOC Incident Playbook: Vulnerability Remediation & Verification
Syntax validiert (0 Fehler)
title: Detect Exploitation - Why I Built a Child-Safe AI App After ChatGPT Terrified My Kid
id: 64f2228d-3a99-45c6-b448-476e0ec4e328
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-25
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
Syntax validiert (0 Fehler)
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-25"
        description = "YARA Signature for "
    strings:
        $str = "Why I Built a Child-Safe AI Ap" ascii wide
    condition:
        any of them
}
Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("Why I Built a Child-Safe AI App After Ch")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - count
Syntax validiert (0 Fehler)
message: "*Why I Built a Child-Safe AI App After Ch*"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "Why I Built a Child-Safe AI App After Ch"
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc
🎯
MITRE ATT&CK Matrix Navigator 14 Taktiken
Reconnaissance
-
Resource Development
-
Initial Access
Execution
Persistence
-
Privilege Escalation
Defense Evasion
Credential Access
-
Discovery
-
Lateral Movement
-
Collection
-
Command and Control
Exfiltration
-
Impact
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:

Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich Why I Built a Child-Safe AI App After Ch.... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.

🛡️ Angriffsfläche & Exposure

Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.

⚡ Empfohlene Sofortmaßnahmen
  • 1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
  • 2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
  • 3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.
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