What is Highflame?

Welcome! Highflame is the AI security platform built for modern enterprises. Here you'll get an overview of what Highflame is, the problems it solves, and how its building blocks work together to empower your organization to scale AI safely, efficiently, and confidently.

What Highflame Does

Think of HighFlame as a secure layer between your enterprise applications and the AI tools they connect to. By routing all AI-related traffic through HighFlame, your security and engineering teams gain unified visibility, control, and defense across your entire AI ecosystem.

• Discover — Gain deep insight into your AI landscape with end-to-end observability, tracing, and analytics that reveal how agents, models, and MCPs interact with enterprise systems.

• Govern — Oversee all AI traffic in real time, receive actionable threat alerts, and generate detailed audit reports to maintain compliance and policy alignment.

• Defend — Enforce fine-grained usage policies and precision contextual guardrails to block threats, prevent data exfiltration, and protect sensitive systems from unauthorized access.

• Protect — Continuously test AI agents and models with automated red teaming to expose vulnerabilities, assess risky behaviors, and validate alignment with frameworks like OWASP LLM Top 10, MITRE ATLAS, and NIST AI RMF.

Highflame Architecture at a Glance

Highflame enables enterprises to discover, monitor, and protect all your AI assets — AI agents, applications, custom ML/LLM models, and MCP resources. It integrates your assets into our AI Registry, which maintains a continuous inventory of all the resources deployed or used in the enterprise.

Each of Highflame's components addresses an essential part of AI security and governance:

• Agent Gateway: Unified AI Gateway for LLM, MCP, and multi-agent traffic routing, real-time contextual policy enforcement, and centralized governance that secures your AI initiatives.

• Multi-Turn Context Safety Guardrails: High-precision AI safety models based on a custom temporal recurrent classifier architecture that go beyond simple prompt/response detection to measure security across multi-turn conversations.

• Unified Policy: Governance for all your AI initiatives driven through an expressive policy engine designed for analysis using automated reasoning that flows seamlessly throughout the stack.

• Flexible Standards-Based Monitoring: Continuous monitoring for applications, agents that enable distributed monitoring of agents, MCP servers, and LLMS.

• Agentic Red Teaming: Agentic adversarial testing toolkit that enables Agent & Model Red Teaming that scans for vulnerabilities and simulates advanced attacks.

Getting Started Pathways

Highflame is built for the people who build, manage, and secure AI within their enterprise:

• Agent Developers who build AI-powered applications and agents

• Agent Testers & Red-Teamers who proactively test and identify vulnerabilities in their AI ecosystem

• Security Teams apply security policies, monitor for threats, and are responsible for security, audit & compliance

• DevOps Teams who set up the platform in the cloud of their choice

What's Next?

• Refer to our Installation Guide to set up your environment.

• Read up on the Getting Started guide for your role:

  • For Agent Developers

  • For Red Team Testers

  • For Security Teams

  • For DevOps Teams