What CISOs should know about AI runtime security | TechTarget
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CISOs recognize the cybersecurity implications of AI, but many remain focused on preventing AI-enabled data loss and compliance breaches. Few are paying attention to the full scope of AI-related cybersecurity yet.
Runtime security focuses on protecting running models from compromise. This means monitoring, protecting and controlling AI systems while they are actively running and making decisions -- rather than only securing them during development and deployment.
Preventing compromise of a running AI tool protects the organization not only from data leaks and compliance breaches, but also from AI being used as a weapon to launch or assist in other attacks. It protects the AI tool and it protects the business from theAI tool. It safeguards models against threats such as prompt injection attacks, unauthorized tool use, excessive permissions and model abuse.
Protection at runtime requires safeguarding access, vetting inputs and checking outputs. It also means...
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