inference-api-abuse-prevention

What problem does it solve?

Review inference APIs for credential stuffing, rate limit bypass, quota exhaustion, account takeover, and systematic abuse patterns that exploit the high cost-per-request nature of LLM inference.

Core Features & Use Cases

• Credential abuse detection and key hygiene
• Rate limiting, quota enforcement, and anomaly detection across multi-dimensional boundaries (per-key, per-account, per-IP, per-org)
• Prompt-exfiltration risk assessment and mitigation
• Use Case: Guard production endpoints against abuse and unexpected cost spikes.

Quick Start

Apply automated checks and guardrails to your inference APIs to detect abuse and prevent credential stuffing.