AI budgeting: Estimating tokens for enterprise cybersecurity | TechTarget
As security tools like SIEM, SOAR, vulnerability scanning tools and agentic response systems become embedded with AI and LLMs, CISOs face a new and somewhat unfamiliar challenge: budgeting for highly variable, token-based costs.
Traditionally, security spending has been largely predictable -- buy a software tool or appliance, purchase a license or subscription, and hire qualified teams to run them. Token consumption, on the other hand, scales with the security tools' needs. Above-average data volume, alert spikes and incident complexity can significantly affect the number of tokens used on any given day.
This unpredictability puts CISOs in a difficult position. They want to harness the power of AI to improve triage, conduct deeper investigations and strengthen defenses, but they must also keep a close eye on governance. For many, AI budgeting remains a guessing game. There are, however, some core concepts, estimation techniques, optimization strategies and governance practices CISOs can...
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