Organizations can no longer ignore the new security issues that have come up because of the quick rise of generative AI. Microsoft has now laid out a detailed set of security measures to protect generative AI models hosted on its Azure AI Foundry platform. This is in response to a growing threat that sits at the intersection of software supply chain risk and artificial intelligence.
Learn more about antivirus software Information about cyber threats Because AI is developing so quickly, this kind of structured, proactive security thinking is more important than ever. Every week, new AI models come out, which means that hackers have more ways to attack than they did just a few years ago.
Threat actors are starting to look into ways to put harmful code directly into AI models, which could make them launchpads for malware delivery into business environments. Before using any AI model in production workflows, organizations that use Azure AI Foundry to deploy AI models should always check that the model card has the scan-complete indicator. Governance controls that fit each model's behavior and risk profile should be used by security teams.
You shouldn't just trust the promises of one vendor when it comes to third-party AI models. You should do your own risk assessments, especially for models from providers that aren't very accountable to the public. All AI-integrated pipelines should also follow zero-trust principles, which means that no model or API endpoint should ever be considered safe without proper and ongoing verification.
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