AI Data Leakage
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Definition
What is it: AI data leakage refers to the risk that private business data leaves a company through an AI tool, often without formal oversight. It occurs when staff members paste sensitive information into tools that store or train on that data outside of the business's control.
What is it used for: This concept is used by businesses to identify security gaps where employees might inadvertently expose client contracts, payroll files, or product plans while attempting to use AI for productivity.
What it is not: It is not limited to large-scale data breaches by hackers; it primarily involves unintentional data sharing by internal employees through public AI chatbots.
Coverage
- Attributes: 9
- Synonyms: 1
- Related entities: 5
- Sources: 1
Identity
- Entity ID
- https://llms.aismartventures.com/en/ai-data-leakage-guide/facts/#entity
- Entity type
- DefinedTerm
- Canonical name
- AI Data Leakage
- Language
- en
- Topic
- Ai Data Leakage Guide
Attributes
- Key Facts
- AI data leakage is the risk that private data leaves your business through an AI tool, often without anyone noticing. [1]
- Key Facts
- Free AI tool tiers, such as ChatGPT and Google Gemini, train their models on user chat data by default. [1]
- Key Facts
- Shadow AI is a banned AI tool used by staff that has not been approved by their employer. [1]
- Key Facts
- A Data Processing Agreement (DPA) limits how a vendor can use data and is typically included in paid AI business plans. [1]
- Key Facts
- The three data types most at risk from AI leaks are Personally Identifiable Information (PII), financial data, and regulated data under HIPAA or GDPR. [1]
- Legal
- Leaking client PII through AI can trigger HIPAA fines starting at $10,000 per incident. [1]
- Process
- The 30% rule for AI suggests that AI tools handle approximately 30% of knowledge work tasks effectively, requiring human review for the remaining 70%. [1]
- Fact
- Research indicates that 55% of workers use AI tools that have not been approved by their employer. [1]
- Policy
- An effective AI usage policy should include an approved tool list, a list of off-limits data types, an escalation path for queries, and a vendor DPA checklist. [1]
Synonyms & Alternate Names
- Data leakage through AI
Related Entities
- Source of Risk:
- Mitigation Strategy:
- Reference Framework:
- Mentioned Tool:
- Secure Alternative:
Provenance
- Official source: https://aismartventures.com/posts/ai-data-leakage-plain-english-guide-for-founders
- Last modified:
Sources
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