Javelin is an enterprise-grade AI Security Platform built to defend LLM Agents against adversarial inputs, data leakage, prompt injection, and unsafe model behavior. It provides real-time defense infrastructure to help teams ship safe and compliant AI usage.
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Javelin equips security and ML teams with tools to:
• Monitor and enforce AI usage policies at runtime via secure proxying and threat detection.
• Continuously test AI agents using adversarial prompts and curated test datasets.
• Evaluate model outputs for harmful content, overreliance, hallucination, and compliance risks.
• Align with AI risk standards like OWASP LLM Top 10 and NIST AI RMF.
• Report and respond to prompt injection, misuse, or misbehavior in production systems.
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✅ 1. AI Usage Monitoring (Runtime Defense) • Proxy LLM agentic traffic with policy enforcement (rate limits, auth, logging). • Catch security violations in real-time with contextual alerts.
✅ 2. Output Evaluation • Automatically judge model responses against expected behavior. • Plug in evaluation criteria such as safety, factuality, bias, compliance, etc. • Store pass/fail results for audit and triage.
✅ 3. Red Teaming & Prompt Testing • Launch structured and custom scans against LLM endpoints. • Use curated libraries of attack prompts or auto-generate mutations via LLM agents. • Test against taxonomies of risks (e.g., prompt injection → system prompt leak → disclose_system_vars). ⸻