Mend AI: Pricing, Tiers and What's Actually Covered
AI / ML BOM and AI security inside the Mend application-security platform. Model discovery, scanning and AI policy enforcement.
Why we do not invent a number for Mend AI
Mend AI publishes no public list price on its pricing page or any sales collateral we have verified. Our methodology forbids inferring a rate from third-party speculation. To get a quote, contact the vendor directly at https://www.mend.io/mend-ai/.
Pricing tiers
Verbatim from the Mend AI pricing page on 2026-06-19. Quote-only tiers are surfaced as such, never with an inferred price.
| Tier | Price | Free allowance | Notes |
|---|---|---|---|
| Mend AI | Quote only | - | Quote only. Sold alongside Mend SCA / SAST. |
Source: https://www.mend.io/mend-ai/ | Verified 2026-06-19
OWASP LLM Top 10 coverage
What Mend AI defends against, as claimed on its product pages and security documentation. Coverage flags are binary: an item is listed only if the vendor names the attack class explicitly.
- LLM01 Prompt injection
- LLM02 Sensitive information disclosure
- LLM03 Supply chain
- LLM04 Data and model poisoning
- LLM05 Improper output handling
- LLM06 Excessive agency
- LLM07 System prompt leakage
- LLM08 Vector and embedding weaknesses
- LLM09 Misinformation
- LLM10 Unbounded consumption
Hidden costs
Beyond the line-item price, every runtime AI guardrail carries operating costs the vendor page does not surface. Plan for these in any board paper.
- Per-call latency overhead. Guardrail check sits in the request path; budget 50 to 300 ms extra per LLM call.
- False-positive remediation. Allocate engineering time to tune policies after every guardrail rule change.
- Logging and retention. Guardrail decisions need to land in your SIEM. See siemcostcalculator.com.
- On-call coverage. Treat AI security alerts like SOC alerts. See securityoperationscost.com.
- Procurement cycle time. Quote-only vendors add weeks of contract negotiation before the first invoice arrives.
What Mend AI is best for
AI / ML BOM and AI security inside the Mend application-security platform. Model discovery, scanning and AI policy enforcement.