AGENT SECURITY FABRIC
Secure every Agentic interaction with our family of lightweight, high-performance models for industry-leading conversational context awareness. Deploy anywhere, from cloud to edge.
Highflame’s family of specialized, compact AI models is purpose-built for the unique security challenges of Agentic workflows. Designed from the ground up for efficiency and performance, Javelin models deliver robust protection without the latency and cost burdens of larger, general-purpose models.
Our next-generation models are designed to detect intent and perform continuous stateful security analysis. These models are designed for real-time enforcement and to maintain conversational context, enabling detection of sophisticated, multi-turn attacks and real-time conversation threat scoring.
Our foundational suite of ultra-fast, low-parameter models is optimized for stateless, single-request analysis. Perfect for detecting threats like prompt injection and toxicity with minimal overhead.
Javelin models are purpose-built for agentic systems, designed to operate in line with every decision, action, and tool call. From ultra-fast single-turn enforcement to deep, context-aware multi-turn analysis, they deliver real-time security without slowing agents. Lightweight and explicitly trained for AI threats, Javelin Models deliver precise, production-grade protection where modern AI actually runs.
Traditional guardrails treat every request in isolation. They have no memory. This makes them blind to sophisticated attacks that unfold over multiple turns, such as gradual jailbreaks, complex social engineering, or subtle topic drift that bypasses single-shot defenses.
Javelin DeepContext represents a paradigm shift in AI security. Leveraging a novel architecture optimized for understanding sequences and maintaining memory, these models track the state and context of a conversation turn by turn. This inherent "memory" allows them to:
Javelin DeepContext is designed for scenarios where single-request analysis falls short, providing robust, stateful protection for chatbots, agents, and complex interactive AI systems.
The foundation of the Highflame model family lies in our Javelin Pulse models. As detailed in our research (arXiv:2506.07330), these models utilize a highly optimized architecture. These compact classifiers deliver exceptional results on tasks like:
Benchmarks: Our Javelin Pulse models consistently outperform larger, more costly alternatives, achieving over 95% F1-score on our internal JavelinGuard benchmark while maintaining sub-100ms latency.
Javelin Pulse delivers state-of-the-art accuracy comparable to larger models but with significantly lower latency and a dramatically smaller footprint. This makes it well-suited for real-time applications and resource-constrained environments, such as edge devices, where larger LLM-based solutions are often impractical.
*\Latency estimates are illustrative, highly dependent on hardware (CPU type, RAM), batch size, and specific task. Javelin Pulse latency is based on internal testing on standard CPU instances. Other latencies are representative estimates.
*\*Accuracy can vary significantly based on the specific dataset and attack types used for evaluation. Javelin Pulse F1 is reported on the Injection-Guard dataset.
The efficiency of the Javelin Model family means you can deploy cutting-edge AI security wherever you need it:
AI Gateways & Agents
Embed Javelin as a Guardrail API call to enforce policies inline—at the gateway or inside the agent loop.
On-Premise
Maintain data sovereignty, privacy, and full operational control.
Edge
Run real-time, on-device security with ultra-low latency and a small footprint.
Developer Environments
Get instant feedback and protection in CI/CD and local development.
