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Practical AI security in multi-cloud environments
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3 Articles
A new study reveals significant gaps and inconsistencies in the security mechanisms protecting large cloud language model platforms. The study evaluated the effectiveness of content filtering and prompt injection defenses and found that the success rate of detecting malicious prompts ranged from 53% to 92%. Attackers used sophisticated means such as role-playing to bypass defenses, showing the limitations of current defense mechanisms that rely …
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Malware Analysis, News and IndicatorsPractical AI security in multi-cloud environments
As artificial intelligence solutions become ubiquitous, AI security is a key consideration for organizations that want to leverage AI as a competitive advantage. Security teams face considerable obstacles as AI proliferates through various implementation models: externally managed AI platforms (AWS Bedrock, GCP Vertex, Azure OpenAI), custom-built AI services within cloud infrastructures, and on-premises AI systems. Larger organizations frequentl…
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