Inspect every data source flowing into your LLMs — RAG context, tool results, external inputs — for prompt injection, jailbreaks, and output manipulation.
Custom classification models trained on adversarial datasets, delivering industry-leading detection rates with near-zero false positives.
An asynchronous stream-friendly architecture prioritizing latency. Requests are analyzed concurrently across deterministic and probabilistic layers.
Payload structural normalization. Extracts multimodal contexts (text, image, audio) and applies deterministic IP/Header validation against edge-cached policies.
Parallelized pattern-matching and ML classification. The fast pattern engine identifies known signatures instantly, falling back to the deep classifier for novel threat evasion.
Applies organization-level routing rules. Safe payloads are proxied transparently. Threats are mitigated with provider-shaped schema errors injected directly into the application flow.
Analyze raw text alongside embedded images and audio files. Identifies sophisticated attacks hidden in non-text structures targeting vision and audio-enabled models.
Robust security regardless of language. Proven 99.90% recall against Portuguese, German, French, and English injection attempts preventing cross-lingual bypass.
Resists advanced manipulation. Built to catch diacritics, leet speak, unicode smuggling, and homoglyph attacks specifically designed to break semantic analysis.
Protects downstream services. Prevents data exfiltration and blocks generated XSS, HTML injection, and malicious markdown from returning to your application layer.
Proxy architecture requires no SDK installations or logic changes. Simply point your client to Agenima and append your authorization header.
Native proxy adapters for OpenAI and Anthropic format matching.
Optimized async analysis for Server-Sent Events (SSE) responses.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.agenima.com/openai/v1",
defaultHeaders: {
"X-Agenima-Key": "sk_live_QpBy1a6Oqtj..."
},
});Segregate telemetry and API keys via auto-provisioned organizational boundaries with strict RBAC access controls.
Cascade security policies from global defaults down to organization or specific API key instances with granular sensitivity presets.
Searchable, immutable event logs coupled with real-time analytics mapping threat origination, vectors, and mitigation rates.
Deploy enterprise-grade runtime protection for your LLM architecture.
System.init(auth)