Securing AI Innovation: Enterprise Strategies for LLM and Generative AI Security | Qualys
Summary: Qualys reports that over 1,255 organizations have deployed AI/ML software across 2.8 million assets, with 6.2 percent of those assets, roughly 175,000, classified as critical and at high risk. The post cites research that 55 percent of data leaders rank sensitive information exposure as a top concern, and names adversarial attacks such as evasion, poisoning, and model inversion, along with model theft and EU AI Act requirements, as risks organizations must address.
What's compelling: Roughly 175,000 of the 2.8 million AI/ML assets Qualys observed are already rated critical and high risk, and LLMs can memorize the sensitive data they are trained on, so the exposure is sitting inside systems already in production.
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- Topics
- Governance, Risk & Compliance
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