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How runtime attacks turn profitable AI into budget black holes
AI inference attacks drain enterprise budgets, derail regulatory compliance and destroy new AI deployment ROI.
The result is a cascade of cost inflation: Breach containment can exceed $5 million per incident in regulated sectors, compliance retrofits run into the hundreds of thousands and trust failures can trigger stock hits or contract cancellations that decimate projected AI ROI. Vineet Arora, CTO at WinWire, notes that many organizations “focus intensely on securing the infrastructure around AI while inadvertently sidelining inference.” This oversight, he explains, “leads to underestimated costs for continuous monitoring systems, real-time threat analysis and rapid patching mechanisms.” As Mike Riemer, Field CISO at Ivanti, observes, defenders are beginning to “harness the full potential of AI for cybersecurity purposes to analyze vast amounts of data collected from diverse systems.” This proactive stance is essential for building a robust defense, which requires several key strategies:
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