Pricing, value, and program design
Agentic AI capabilities and governance are important, of course, but one of the biggest drivers for adopting agentic AI in security comes down to economics. Security leaders want to know: How much money and time does this save us? The answer is not always straightforward.
“Pricing remains a friction point,” says fifthelement’s Garini. “Vendors are playing with usage-based models, but organizations are finding value when they tie spend to analyst hours saved rather than raw compute or API calls.”
Mindgard’s Glynn notes the variability in AI pricing models available today. “A charge can be per subscription, per seat, or per alert. Other vendors may offer usage-based plans, too,” he says. “Advanced agent systems are usually costly as they have wider impact and opportunity of savings on analyst workloads.”