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Mid-market

LLM / AI Application Security for Mid-Market

Fifty to one thousand seats, several production LLM features. Hyperscaler-native plus one runtime specialist is the standard shape.

50-1K
Seats
$100-400K
Typical year-1 spend (illustrative)
0.5-1.5
AI-security FTE
1-2
Specialist vendors

Recommended mid-market stack

  • Hyperscaler-native (AWS Bedrock, Azure Prompt Shields, or Google Model Armor).
  • One specialist runtime guardrail (Lakera Pro, Prompt Security, Pillar) under quote.
  • Promptfoo open source or Lakera Red for one external engagement per year.
  • SIEM integration via your existing logging provider.
Mid-market year-1 illustrative cost
Illustrative example, not a real company
  1. 01.Hyperscaler at 50M calls / yr$48,000
  2. 02.Specialist runtime guardrail (quote midpoint)$60,000
  3. 03.One external red-team engagement$40,000
  4. 04.Eval engineer 0.5 FTE$120,000
  5. 05.SIEM + SOC integration delta$25,000
  6. 06.Latency-overhead inference$15,000
Year-1 (illustrative)$308,000
Illustrative example, not a real company

See /llm-security-for-enterprise when you enter regulated workloads or cross 1,000 seats.

Last verified June 2026Source: vendor pricing pages. See /methodology.