OpenSecureAI Prompt Firewall vs Splunk Guardrails

OpenSecureAI Prompt Firewall evaluates text before it reaches an LLM and applies a policy to allow, flag, or block it. Separate engines check for prompt injection and for PII or secrets. Under the described policy, injection or secrets trigger a block, while PII is redacted and flagged. The same middleware logic can be applied to model inputs and outputs. The live demonstration runs client-side and states that nothing is uploaded. Developers can use the open-source, dependency-free core as an npm package or CLI for applications and CI. The CLI reads files or standard input and can return a nonzero exit code when findings reach a selected threshold. An API key unlocks hosted detections for additional risks, including obfuscation or encoding evasions, indirect injection, tool abuse, and multilingual overrides. The LLM Gateway supports OpenAI, Anthropic, xAI, and Groq with bring-your-own-key operation; the company says gateway provider keys are never stored or logged. The Free plan is free and includes 2,000 API requests per month. Pro costs $49 a month and includes 50,000 monthly requests.

Splunk Guardrails has no write-up on Specifiction yet; its figures are above.