Observed Signal · Jul 5, 2026 · Technical Release · Source: DEV Community · Impact: 2/5 · Sentiment: Positive
AI Guard Gateway v0.1.0 Released for LLM Endpoint Security
AI Guard Gateway v0.1.0 is an open-source inverse proxy released to protect exposed AI/LLM inference endpoints from attacks such as endpoint hijacking and prompt injection. Built with a Spec-Driven Development (SDD) approach, the gateway implements mandatory authentication (API keys/JWT), sliding-window rate limiting, prompt-injection detection, automatic PII redaction, and static policy support via Open Policy Agent (OPA). The project includes a pytest test suite for critical routes, a Bandit security scan reporting no High/Medium vulnerabilities, and a CI/CD pipeline integrated with SonarCloud. The code is available on GitHub under the AGPL-3.0 license. The post was published on DEV Community on 2026-07-05 by the author MagoPredator (Fenix).
An open-source security proxy addressing prompt injection and endpoint hijacking is useful to engineers operating LLM inference endpoints, but it is a niche technical release rather than a platform-level or industry-shifting announcement.
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Key Takeaways & Evidence Grounding
- AI Guard Gateway v0.1.0 released as an open-source inverse security proxy for language-model endpoints.
- Mitigations implemented include mandatory authentication (API Keys / JWT), sliding-window rate limiting, prompt-injection detection, PII redaction, and integration with Open Policy Agent (OPA).
- Project uses Spec-Driven Development (SDD) and includes components such as auth.py, rate_limiter.py, detect_prompt_injection (main.py), pii_redactor.py, and policy.rego.
- Quality controls: pytest test suite for critical routes; Bandit scan reported 0 High/Medium severity vulnerabilities; CI/CD pipeline configured with SonarCloud.
- Source code repository published on GitHub and licensed under AGPL-3.0.
Connected Companies & Entities
2 Entities mapped“The article warns about exposed inference APIs such as Ollama being published without security layers, allowing anonymous access and resourc...”
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