ASAI Security ResearchIndependent public-source research
Public reviewread only

Solution approach

AI usage and cost controls

Attribute AI and model usage, set budgets or limits, and identify unexpected spend.

Use-case context

How this approach relates to the selected use case

AI spend and usage: Directly addresses — Track model and AI-service use, set budgets or limits, and identify unexpected spend.

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Research scopeVendorsPublicly documented vendor profiles
Evaluation guideRequirementsRequirements connected to the selected use case
Evidence basisSourcesPublic claims linked to their original sources
Unresolved itemsQuestionsMissing support is labeled instead of assumed
View research coverageThese counts describe available public research, not product quality or suitability.Expand
Vendor profiles
8 shown in this view
Security requirements
1 to review
Strong public support
5 requirement records
Limited public support
3 requirement records
Open research
0 with no supporting claim · 0 incomplete

Evaluation guide

What to verify for this use case

Additional security requirement

AI cost and usage controls

Visibility, attribution, budgeting, rate limiting, anomaly detection, and optimization for AI usage and spend across models, agents, workflows, and owners.

Questions to test
  1. A controlled AI usage event is attributed to user, team, model, workflow, or owner with cost or token metrics.
  2. A budget, rate-limit, or routing policy triggers an alert, block, throttle, or report during the test.
  3. An anomaly or runaway-usage report flags an unusual token, spend, model, or workflow pattern.
Related frameworks

Commercial Metadata · NIST AI RMF Playbook · NIST Cybersecurity Framework 2.0 · ISO/IEC 42001 · OWASP Agentic AI Security Solutions Landscape

Vendor research

Vendors with public research for this approach

Choose vendors to compare →

Only requirements explicitly connected to the selected use case are shown. Vendors are grouped by whether this approach is a core product focus or related coverage, then ordered by documented support across the requirements shown. This organizes public research coverage; it is not a product ranking or recommendation.

Evidence labelsStrong public supportLimited public supportNo supporting claim foundResearch incomplete
VendorAI cost controlsSourcesAction
Core product focusThis approach is central to how these vendors present the product · 1 vendor
Iterate.ai AgentWatchEmergingSupport found for 1 of 1 requirementStrong public support1Profile →
Related coverageThese vendors address the requirements through another core product focus · 7 vendors
Cloudflare AI Security SuiteEstablishedSupport found for 1 of 1 requirementStrong public support1Profile →
Island Enterprise BrowserScaledSupport found for 1 of 1 requirementStrong public support1Profile →
JetStream SecurityGrowth stageSupport found for 1 of 1 requirementStrong public support1Profile →
Speakeasy AI Control PlaneGrowth stageSupport found for 1 of 1 requirementStrong public support1Profile →
Kong AI GatewayScaledSupport found for 1 of 1 requirementLimited public support1Profile →
ModelOpEmergingSupport found for 1 of 1 requirementLimited public support1Profile →
RunlayerGrowth stageSupport found for 1 of 1 requirementLimited public support1Profile →

Company maturity remains a filter and profile attribute; it does not affect the research-coverage order.