AGENT SECURITY FABRIC
As AI expands from single models to interconnected agents, tools, and data flows, most organizations lack the visibility, control, and governance to manage it safely. And without context-aware guardrails, real-time observability, and unified oversight, hidden risks, sensitive data exposure, and compliance gaps quietly erode trust and slow enterprise scale.






























As AI systems become increasingly interconnected, Highflame provides a unified layer of control across every model, agent, and tool, operating simultaneously across LLM, MCP, A2A, and A2P interactions. Its multi-turn, intent-aware guardrails understand context and purpose, enforcing security not just at the prompt, but across the full conversation lifecycle.
Scan models, MCPs, prompts, and tool configurations for hidden risks, then continuously apply policy as agents operate with users, data, and tools. Guardrails adapt to intent and context across multi-turn workflows to keep safeguards active throughout execution, not just at the first turn.
Defend your agents against malware, phishing, prompt injection, and unsafe tool behavior in real time. Highflame applies adaptive security across multi-turn workflows, protecting agents, data, and users while continuously enforcing your policies in production.
Highflame’s Agentic Context Graph connects what your enterprise agents see, decide, and do across every workflow—linking agents, models, tools, and data access into a unified, continuously updated view. Security and engineering teams get always-on context for faster debugging, stronger governance, and more precise runtime enforcement as agents evolve.
Highflame embeds governance, transparency, and auditability into every AI workflow, so teams can move fast without sacrificing control. Every policy, prompt, and agent action is traceable and explainable—continuously aligned with enterprise security and regulatory frameworks. Compliance becomes an always-on assurance layer, not a one-time checkbox.
Highflame was built to solve the hardest problem in AI security: protecting autonomous, context-aware agent systems without slowing teams down. Grounded in deep research across prompt security, multi-turn reasoning, and enterprise-grade governance, Highflame helps organizations move fast—safely.
As AI agents proliferate, most enterprises can’t protect what they can’t see. Highflame discovers every AI asset and agent across your enterprise, providing full visibility and preventing data leaks, misuse, and insecure code execution.
With research-backed guardrails trained on adversarial and contextual data, Highflame detects unsafe actions — such as data exfiltration, code misuse, and compliance drift — before they impact operations.
AI threats evolve by the minute. With Highflame’s adaptive runtime defense and Red Team engine, enterprises detect and neutralize attacks up to 4× faster than traditional AI security tools.
Modern AI isn’t a single model behind a chat box: it’s a dynamic network of agents, tools, and data flows making decisions autonomously. Traditional, static defenses can’t interpret these shifting interactions, enforce intent across multi-step workflows, or reliably protect systems they can’t fully observe.
Most gateways focus on single-turn prompt filtering. Highflame goes deeper: contextual, multi-turn guardrails combined with a unified policy engine and real-time observability. The result is a living map of how agents behave across model calls, tool use, and coordination—so protections adapt to context and governance stays continuous, not periodic.
Highflame delivers <100ms enforcement at enterprise scale, giving security and compliance teams unified control without creating bottlenecks for developers. Teams can adopt and operate more agents with confidence, backed by consistent policy enforcement, complete auditability, and visibility into every agent interaction.
As AI expands from single models to interconnected agents, tools, and data flows, most organizations lack the visibility, control, and governance to manage it safely. And without context-aware guardrails, real-time observability, and unified oversight, hidden risks, sensitive data exposure, and compliance gaps quietly erode trust and slow enterprise scale.

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Highflame natively supports thousands of models across all AI providers.

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