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Sinch reports that three-quarters of healthcare AI agents fail due to private data exposure, highlighting a critical need for better infrastructure and compliance.
KazaSec's take
AI-related security incidents are a genuinely new category, prompt injection, model manipulation, and data leakage through an LLM integration don't map cleanly onto traditional application security testing, and are worth assessing deliberately rather than assuming existing controls already cover them.
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We've archived 412 other articles touching the same topic (intelligent agent, sinch ab, data breach) , see the full security news archive.
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