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ai security
What 90 days and a small budget can buy in AI agent security
Prasad Tharippala, Field CISO at Versa, discusses the operational and financial burdens organizations face when deploying open-weight models in-house, including GPU infrastructure costs, licensing overhead, and staffing requirements. He outlines red-teaming approaches for artificial intelligence (AI) agents, defines success metrics for security testing, and identifies five key questions buyers should evaluate when selecting AI agent platforms. The interview addresses practical security considerations for resource-constrained teams implementing AI agents within compressed timelines.
Why it matters: Organizations deploying open-weight models need to understand that security hardening and incident response fall to the buyer, not the vendor, creating hidden costs and operational risks that must be factored into procurement and staffing decisions.
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- First seen by Cybersecurity Tracker