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Many large companies have spent the past few years investing in artificial intelligence infrastructure, software and implementation.
Summary
Boards approved the plans. Finance built the business cases. Procurement negotiated for computing capacity.
One question remained. How would they manage the data underneath those systems? This isn’t the kind of failure that makes headlines yet.
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.
Coverage details
We've archived 896 other articles touching the same topic (news, gaurav chawla, ai) , see the full security news archive.
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