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Breaking News: Only 17% of Organizations Can Actually Stop AI Data Leaks, Kiteworks Survey Reveals
- A survey by Kiteworks reveals that only 17% of organizations have technical controls in place to prevent AI data leaks.
- 27% of organizations admit that over 30% of the data fed into AI tools is private or confidential.
- The survey highlights a significant gap between AI adoption speed and security readiness, posing a potential data breach crisis.
- Kiteworks executives discuss the challenges of traditional security approaches with AI, emphasizing the need for technical protection over hope-based strategies.
- Organizations are blind to the risks of data exposure through AI ingestion, with 44% operating without visibility over their sensitive data.
- Legal firms face challenges leveraging AI efficiency while maintaining confidentiality, exemplifying the struggle in implementing effective AI security measures.
- Prevention at the point of entry is highlighted as the most effective strategy to mitigate AI data leaks, as organizations focus on output monitoring rather than input controls.
- Many organizations are overwhelmed by rapid regulatory changes regarding AI data flows, underestimating the potential consequences of non-compliance.
- The survey points out a fundamental failure in technology adoption across industries, with organizations equally vulnerable to AI-related attacks and breaches.
- Successful AI adoption requires a balance between innovation and security, with technical controls playing a critical role in enabling safe experimentation and protection.
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