AI chatbots pose data exposure risk through inadequate access controls
An automotive company's customer service chatbot demonstrated potential to expose personal data when queried for customer information, highlighting broader security risks as AI agents become more autonomous. A South Korean security firm's survey of IT professionals identified AI-based threats as the top cybersecurity concern for 2026, citing risks from excessive permissions granted to AI systems.
What happened
An automotive company's customer service chatbot on its website produced personal data including fake ID numbers and addresses when prompted to retrieve customer information. The chatbot was not connected to actual customer databases, but security experts warned that if it had been connected, real data would have been exposed.
Samsung SDS conducted a survey of 667 South Korean IT and security managers and found that 81.2% identified AI-based security threats as the top concern for 2026. The company's report identified AI agent expansion as amplifying new security risks through excessive delegation and misuse of permissions, potentially leading to unauthorized work, data breaches, and system damage.
Reported impact
Over 80% of surveyed IT and security professionals reported concern about AI-based security threats impacting their organizations in 2026.
The World Economic Forum reported that 94% of global business executives identified AI as the technology most likely to impact cybersecurity in the coming year, with data exposure risks cited as the primary concern.
Index analysis
The risk arises from AI systems being granted excessive permissions and deployed with insufficient access controls. When chatbots or AI agents gain broad system access, they can access or generate sensitive information regardless of whether they are connected to actual databases.
Security experts emphasize that all AI tools deployed within organizations must undergo audits to identify vulnerabilities by model type. For open-source models, additional scrutiny is required to assess built-in safety mechanisms.
Governance controls
Samsung SDS recommended implementing minimum privilege principles, real-time monitoring through 'AI guardrails' for sensitive commands, and user approval requirements before execution. Guardrails are control technologies and solutions designed to ensure AI systems operate safely and within trustworthy parameters.
Organizations should conduct full inventories of all AI functions and services in use, assess safety levels by model or service, identify model-specific vulnerabilities, and extend authentication controls to both human and non-human users such as chatbots and AI agents.
Classification
Sources and evidence
Sources not yet published
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