The same tools and services being deployed to secure artificial intelligence usage may also provide the necessary visibility to manage AI spending, according to solution provider experts. Helping customers understand and control their large language model-related costs has emerged as a significant additional benefit of implementing AI security controls, according to a recent report by CRN.
Experts highlight that the opportunity for solution and service providers lies in assisting clients with controlling consumption-based spending on AI tokens and subscription costs for AI platforms. Businesses often have multiple AI subscriptions and API token purchases, leading to scattered and difficult-to-track expenses. By establishing controls around AI technologies, MSPs can help organizations gain visibility into what is running and its associated costs.
This visibility can uncover opportunities to reduce AI spending by implementing firewall rules, blocking certain usage, creating policies, and conducting user training. Companies like Presidio are leveraging their expertise in cloud cost management to provide visibility into AI usage across various systems, offering actionable insights to optimize spending. Microsoft's Project Perception also exemplifies this by providing clear visibility and control over token expenditure, integrating AI models with cybersecurity for performance, speed, and cost considerations.
Source: CRN
