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Runtime: The new frontier of AI agent security

“I’ll never say runtime isn’t important,” Badhwar tells CSO. “But you want to fix as much as you can early. The average cost of a runtime security finding is $4,000, versus $40 at build time. So, guess what? You want to fix as much as you can before it ever gets there.”

A vulnerability caught while a developer is still writing code takes minutes to fix. That same vulnerability, once deployed into a container, run through QA, and pushed to a production environment, requires retracing every step of that journey before it can be addressed — at roughly a hundredfold the cost. Badhwar uses the analogy of a car manufacturing line: Quality controls on the assembly line are always cheaper than recalling 70,000 cars from the street.

His framework is simple: Shift left, shield right. Shift as many security controls as possible into the development process — catch problems while agents are being built, not after they’re running. Then shield right with runtime monitoring as your last-mile safety net, because some things will always slip through, and zero-day vulnerabilities by definition can’t be anticipated at build time.



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