# Highflame

> The authority system for the agentic enterprise. Highflame gives every AI agent a trusted identity and every action an authorization decision. Discover, govern, and control agents across your environment, whether built in-house, bought from vendors, or downloaded from marketplaces.

Highflame is the Agent Control Fabric: one identity, policy, and enforcement layer that governs every AI agent and authorizes every action it takes, whether the agent is built in-house, bought from a vendor, or pulled from a marketplace. This file is an LLM-friendly index of the site; links resolve to Markdown mirrors of each page. Every page's full Markdown in one fetch: https://www.highflame.com/llms-full.txt. See https://www.highflame.com/sitemap-index.xml for the complete URL set and https://www.highflame.com/sitemap.md for the Markdown sitemap.

## Platform
- [Platform overview](https://www.highflame.com/platform.md): The full Agent Control Fabric: identity, authorization, and enforcement at every boundary an agent crosses.
- [Why Highflame](https://www.highflame.com/why-highflame.md): Why governing agents takes identity and authorization, not just observation or a bundle of point tools.
- [Code agents](https://www.highflame.com/code-agents.md): Govern IDE and CLI coding agents (Cursor, GitHub Copilot, Claude Code) with policy enforced before each action runs.
- [AI gateway performance](https://www.highflame.com/benchmarks.md): Benchmark of four AI gateways (Highflame, Bifrost, Portkey, LiteLLM) on a two-host AWS rig with five-minute sustained runs: sustained throughput, p99 under a 5,000-connection rush, and behavior past the throughput ceiling, with full methodology.

## Solutions
- [For Engineering](https://www.highflame.com/engineering.md): AI is writing code and calling tools across your org. Highflame gives every agent an identity and authorizes every action (in the IDE, the CLI, and at the gateway) so you can move faster without re-inventing safety per project.
- [For Security](https://www.highflame.com/security.md): Agents act in your environment with authority no one scoped. Highflame gives every agent a verifiable identity and decides, inline, whether each action is allowed, instead of alerting after the fact.
- [For IT & Platform](https://www.highflame.com/it.md): Agents are non-human identities exploding across your stack. Highflame discovers them, connects them to the identity providers and access policies you already run, and manages their full lifecycle, so agents are governed like the rest of your fleet.
- [For Compliance](https://www.highflame.com/compliance.md): Every agent action is attributed to the agent that took it and the human who owns it, recorded as signed evidence and mapped to the frameworks you report against. Your audit answer is a query, not a quarter-long scramble.

## Research and resources
- [Research](https://www.highflame.com/research.md): Highflame research on agent identity, authorization, and runtime defense.
- [Resources](https://www.highflame.com/resources.md): White papers, guides, and reference material.
- [Glossary](https://www.highflame.com/glossary.md): 41 defined terms across agent security, identity, and governance.

## Learn
- [Learn index](https://www.highflame.com/learn.md): Evergreen reference guides on agent identity, authorization, and governance.
### Foundations
- [Agent Identity](https://www.highflame.com/learn/ai-agent-identity.md): Agent identity is a verifiable credential for a non-human actor that carries its owner, trust tier, and delegation depth, so every action traces to a human.
- [Agent Authorization](https://www.highflame.com/learn/ai-agent-authorization.md): Agent authorization decides what an agent may do at request time, not just whether it logged in, and how to hold least privilege across delegation chains.
- [Enterprise Managed Authorization (EMA)](https://www.highflame.com/learn/enterprise-managed-authorization.md): Enterprise Managed Authorization (EMA) lets your identity provider decide which MCP servers an agent can reach through corporate SSO. What it covers, and where it stops.
- [MCP Authorization](https://www.highflame.com/learn/mcp-authorization.md): How MCP authorizes access: the OAuth 2.1 roles, authorization-server discovery, the PKCE flow, and audience-bound tokens, explained plainly with diagrams.
- [Tool Poisoning](https://www.highflame.com/learn/mcp-tool-poisoning.md): MCP tool poisoning hides instructions in a tool's description so an agent follows them without the user ever seeing. How the attacks work, and how to detect and stop them.

### Controls
- [MCP Gateway: Build vs Buy](https://www.highflame.com/learn/mcp-gateway-build-vs-buy.md): Should you build your own MCP gateway? Routing is easy; identity, policy, audit, and threat detection are a perpetual burden. Why most enterprises should buy.
- [LLM Security Tools](https://www.highflame.com/learn/llm-security-tools.md): An honest, categorized map of LLM security tools in 2026: input/output filters, firewalls, runtime enforcement, red teaming, and observability, and how to choose.
- [LLM Firewall](https://www.highflame.com/learn/llm-firewall.md): An LLM firewall filters prompts and responses at the model's edge. What the category covers, and the agent tool calls and cross-turn escalation it can't see.
- [MCP Server Security](https://www.highflame.com/learn/mcp-server-security.md): MCP servers are third-party code your agents load at runtime. The threats, tool poisoning, rug pulls, cross-origin escalation, credential exposure, and how to harden against them.

### Governance
- [Agent Governance](https://www.highflame.com/learn/ai-agent-governance.md): Agent governance is how an organization controls what its agents may do and proves it: a framework, the controls at each layer, and a four-level maturity model.
- [AI Observability](https://www.highflame.com/learn/ai-observability.md): AI observability is seeing everything your agents do: LLM calls, tool calls, and file activity, across code, web, and custom agents. Not just model logging.
- [Shadow AI](https://www.highflame.com/learn/shadow-ai.md): Shadow AI is the AI tools and agents employees adopt without IT's approval. Why it spreads faster than shadow IT, and how to bring it under governance.
- [AI Agent Audit Trails](https://www.highflame.com/learn/ai-agent-audit-trails.md): What a good AI agent audit trail captures, how to keep it tamper-evident and attributable, and the mistakes that make one useless when you actually need it.

## Blog
- [Blog index](https://www.highflame.com/blog.md): All articles.
- [MCP Is Now Stateless: A Guide to 2026-07-28](https://www.highflame.com/blog/mcp-2026-07-28-spec-stateless.md): MCP 2026-07-28 removes the initialize handshake, sessions, and server-initiated requests. What changed at the wire level, and how to migrate a server or client.
- [Claude Code Permissions and Auto Mode: The 44 KB Rulebook You Can't Print](https://www.highflame.com/blog/the-44kb-of-claude-codes-rulebook-you-cant-print.md): How Claude Code permissions and auto mode actually work: the five gates, the classifier's consent model, the rules no approval clears, and cross-session permission laundering.
- [Inside OpenAI's Hugging Face Breach: A Reward-Hacking Teardown](https://www.highflame.com/blog/openai-huggingface-breach-july26.md): How an OpenAI model chained a zero-day to breach Hugging Face and steal a benchmark answer key, plus the isolation and identity controls that stop it.
- [AI Runtime Security: How to Protect Agents and GenAI Apps at Request Time](https://www.highflame.com/blog/ai-runtime-security-how-to-protect-your-genai-stack-from-real-world-threats.md): AI runtime security protects agents and GenAI apps at request time, when prompt injection, data leakage, and rogue tool calls actually happen, not at build time.
- [AI Gateway Benchmarks: Highflame vs LiteLLM vs Bifrost (2026)](https://www.highflame.com/blog/the-three-moments-your-ai-gateway-can-ruin.md): AI gateway benchmarks on real timing: Highflame adds ~2 ms to the first token, answers 100% of 5,000 held conversations, and adds 17 ms to an MCP tool call.
- [AI Agent Incident Response: What to Do When an Agent Is Compromised](https://www.highflame.com/blog/your-agent-has-been-compromised-now-what.md): AI agent incident response starts with the blast radius: when a compromised coding agent spawns 50 subagents, revoke the entire delegation chain in one atomic step.
- [AI Gateway Load Testing: What Breaks at Concurrency (and How to Fix It)](https://www.highflame.com/blog/your-ai-gateway-is-fine-until-everyone-hits-it-at-once.md): AI gateway load testing on a two-host AWS rig: under a 5,000-connection rush, Highflame answers in 0.83s where LiteLLM takes 17 seconds and drops a third of calls.
- [Claude Code Sandboxing: How Anthropic Contains Coding Agents (and How to Cover Your Fleet)](https://www.highflame.com/blog/how-anthropic-contains-its-own-coding-agents-and-get-that-coverage-across-your-fleet.md): Claude Code sandboxing: Anthropic's three-layer containment model, a real attack walked end to end, and the governance gap no single sandbox closes across a fleet.
- [MCP Enterprise Managed Authorization (EMA): What It Is and How Highflame Supports It](https://www.highflame.com/blog/mcp-enterprise-managed-authorization.md): MCP Enterprise Managed Authorization (EMA) lets your identity provider decide which MCP servers an agent can reach via corporate SSO. How it works, and where it stops.
- [MCP Gateway, LLM Gateway, Agent Gateway: Three Gateways, One Decision Fabric](https://www.highflame.com/blog/three-gateways-one-decision-fabric.md): Three gateways govern AI agents: LLM for content, MCP for tools, agent for authorization. The risk is running them as three vendors, not one decision path.
- [Highflame + Tailscale Aperture Now Blocks Risky AI Traffic in Real Time](https://www.highflame.com/blog/highflame-tailscale-aperture-now-blocks-risky-ai-traffic-in-real-time.md): Highflame and Tailscale Aperture now enable real-time AI traffic enforcement at the network layer, helping teams detect, govern, and block risky LLM requests before they reach model providers.
- [Mission Drift: Why AI Agents Fail at Step 100](https://www.highflame.com/blog/mission-drift-why-ai-agents-fail-at-step-100.md): Description: AI agents do not always fail with a crash. They drift. Learn why Step 1 testing and passive observability cannot stop Mission Drift, and how Highflame Compass provides runtime enforcement to keep autonomous agents aligned through Step 100.
- [The Uniformed Guard Problem: Why AI Agent Sandboxes Need Identity, Not Just Policy](https://www.highflame.com/blog/the-uniformed-guard-problem-why-ai-agent-sandboxes-need-identity-not-just-policy.md): AI agent sandboxes aren’t enough. Learn why identity, not just policy, is critical to securing autonomous AI systems and preventing misuse.
- [Your agent followed every rule. It still broke policy.](https://www.highflame.com/blog/your-agent-followed-every-rule-it-still-broke-policy.md): A new Atlassian paper reveals “policy-invisible violations”, when LLM agents make correct decisions that still break policy. Learn why prompts and DLP fail, and how state-aware enforcement fixes it.
- [When AI Monitors Betray You: The Failure of LLM-as-Judge Architectures](https://www.highflame.com/blog/when-ai-monitors-betray-you.md): A new Berkeley study shows AI models will lie, cheat, and sabotage tasks to protect other models. This breaks LLM-as-judge architectures and exposes a critical flaw in AI safety. Here’s why deterministic guardrails are now essential.
- [Why Meta’s AI Alignment Director Couldn't Stop Her Own Agent, and How to Fix It](https://www.highflame.com/blog/why-metas-ai-alignment-director-couldnt-stop-her-own-agent--and-how-to-fix-it.md): A technical breakdown of Summer Yue’s 2026 OpenClaw incident. Learn why "in-band" prompt engineering fails and how ZeroID provides out-of-band deterministic control for agents.
- [Deconstructing “Agents of Chaos”: Failures Behind Autonomous Agent Attacks](https://www.highflame.com/blog/deconstructing-agents-of-chaos-authorization-failures-behind-autonomous-agent-attacks.md): Deconstructing “Agents of Chaos” to reveal why AI agent failures stem from missing identity, authorization, and execution control layers.
- [Who Sent You? Solving the Agent Identity Crisis with Highflame ZeroID](https://www.highflame.com/blog/who-sent-you-solving-the-agent-identity-crisis.md): Enterprise security teams are blocking AI agents due to identity gaps. Learn how ZeroID provides cryptographic identity, scoped delegation, and instant revocation for autonomous agents.
- [Introducing ZeroID: Open Source Identity for Autonomous Agents](https://www.highflame.com/blog/introducing-zeroid-open-source-identity-for-autonomous-agents.md): Introducing ZeroID, an open source identity platform built for autonomous agents. Cryptographically verifiable agent identities, explicit delegation chains, and auditable authorization. Built for the agentic era.
- [Highflame Partners with Tailscale to Help Secure AI Agents at the Network Layer](https://www.highflame.com/blog/highflame-partners-with-tailscale-to-help-secure-ai-agents-at-the-network-layer.md): Highflame and Tailscale partner to secure AI agents at the network layer. Monitor and evaluate LLM prompts, tool calls, and responses in real time, without modifying agents.
- [The LiteLLM Supply Chain Attack Wasn’t Just a Supply Chain Problem](https://www.highflame.com/blog/the-litellm-supply-chain-attack-wasnt-just-a-supply-chain-problem.md): The LiteLLM attack exposed a critical gap in AI security. Learn why the focus must shift from data access to controlling agent actions at runtime.
- [Traditional Authentication Isn’t Enough for Agent & MCP Security](https://www.highflame.com/blog/authentication-isnt-enough.md): As AI agents gain the ability to call tools through MCP (Model Context Protocol), they move from generating text to executing real actions inside production systems. Most implementations rely on authentication to secure these interactions, assuming that verifying user identity is enough. In practice, authentication only answers who made a request, not whether the request should be allowed. This article explores the security gaps that emerge when AI agents can autonomously choose which tools to execute. We walk through how privilege escalation, cross-tenant data access, and unexpected destructive actions can occur even when requests are properly authenticated. We then outline the additional layers MCP systems need in order to operate safely in production: authorization policies that govern tool execution and inspection mechanisms that analyze the content flowing through MCP requests and responses. For teams building MCP-enabled systems, authentication should be the starting point, not the security model.
- [Securely Rolling Out Claude Cowork Across Your Organization](https://www.highflame.com/blog/securely-rolling-out-claude-cowork-across-your-organization.md): Learn how to safely roll out AI tools like Claude Cowork in the enterprise using identity-aware MCP access control to manage permissions across teams and systems.
- [Securing Intent : The Next Frontier in AI Agent Protection](https://www.highflame.com/blog/securing-intent.md): As agents gain autonomy and multi-step reasoning becomes the norm, security systems must evolve from snapshot classifiers to trajectory-aware monitors. Because in agent systems, risk isn’t a single moment. It’s a direction. And direction can only be detected if your security layer remembers where you’ve been.
- [Unified Control Plane for Enterprise Code Agent Security](https://www.highflame.com/blog/unified-control-plane-for-enterprise-code-agent-security.md): Unified threat detection, exfiltration prevention, safe MCP usage and global policy enforcement for Claude Code, Cursor, and all your enterprise code agents.
- [Agent Context Graphs and Safe Autonomy](https://www.highflame.com/blog/agent-context-graphs-semantic-intelligence-safe-autonomy.md): Why logs fail for agentic AI and how context graphs and semantic intelligence create a system of record for governing autonomous systems.
- [Palisade is now available on Github Marketplace](https://www.highflame.com/blog/palisade-is-now-available-on-github-marketplace.md): Palisade is now available on Github Marketplace
- [DeepContext: Defending Against Multi-Turn LLM Attacks with Context-Aware Guardrails](https://www.highflame.com/blog/deepcontext-defending-against-multi-turn-llm-attacks-with-context-aware-guardrails.md): LLM attacks evolve across turns. Learn why memory, semantic intelligence, and continuous defenses are essential for safe AI systems.
- [Launching Palisade: Zero-Trust Security for the AI Model Supply Chain](https://www.highflame.com/blog/launching-palisade-zero-trust-security-for-the-ai-model-supply-chain.md): The AI ecosystem has a security blind spot.
- [How We Built Highflame RedTeam: An Agent-Powered AI Red Teaming System](https://www.highflame.com/blog/how-we-built-highflame-redteam-an-agent-powered-ai-red-teaming-system.md): Our security platform, Highflame Red, uses a team of specialized AI agents to automatically discover vulnerabilities in LLM applications. Taking this system from a concept to a production-ready platform taught us critical lessons about system architecture, dynamic attack generation, and automated evaluation.
- [Introducing Overwatch: Code Agent Security](https://www.highflame.com/blog/code-agent-security-at-the-developers-fingertips.md): Protect your development environment with Overwatch, a lightweight IDE plugin that monitors local MCP servers, blocks unauthorized connections, and prevents malicious code injections. Secure your code agents effortlessly while keeping your workflow fast and uninterrupted.
- [When Agents Chain Tools, The Risk Multiplies](https://www.highflame.com/blog/when-agents-chain-tools-the-risk-multiplies.md): AI agents can unintentionally chain tools and expose sensitive data. Learn how to prevent privilege escalation, enforce policies, and scale AI securely.
- [Announcing the Ramparts MCP Toolkit on Docker Hub](https://www.highflame.com/blog/announcing-the-ramparts-mcp-toolkit-on-docker-hub.md): Get an MCP security scan in under two minutes. Ramparts makes setup as simple as a Docker pull.
- [Why Enterprise AI Agent Security Can’t Rely on Platform Providers Alone](https://www.highflame.com/blog/why-enterprise-ai-agent-security-cant-rely-on-platform-providers-alone.md): 73% of enterprises face AI security incidents. Platform-native tools miss runtime threats and compliance. Learn why specialized AI agent security is essential.
- [Highflame joins Coalition for Secure AI](https://www.highflame.com/blog/highglame-joins-the-coalition-for-secure-ai.md): Highflame is proud to partner with the Coalition for Secure AI (CoSAI), working alongside industry leaders to advance open standards, strengthen AI supply chain security, and support responsible enterprise adoption.
- [Securing the Bridge: Where AI meets Enterprise Data](https://www.highflame.com/blog/securing-the-bridge-where-ai-meets-enterprise-data.md): Secure AI with MCP security: mitigate risks like prompt injection, tool poisoning, and excessive permissions across enterprise data and AI workflows
- [Why GPT-5’s Capabilities Are a Double-Edged Sword for Enterprise Security](https://www.highflame.com/blog/why-gpt-5s-capabilities-are-a-double-edged-sword-for-enterprise-security.md): With GPT-5, enterprises gain new automation and reasoning potential, but attackers move just as fast. See how Highflame secures agents and MCP-connected tools
- [5 Blackhat 2025 Takeaways on AI & Automation Security](https://www.highflame.com/blog/5-blackhat-2025-takeaways-on-ai-automation-security.md): Secure AI models, agents, and pipelines with governance, identity-aware access, runtime protections, AI-vs-AI detection + model hardening, and human-in-the-loop controls.
- [Announcing Ramparts: Securing MCP usage](https://www.highflame.com/blog/ramparts-mcp-scan.md): Ramparts is a high-performance Rust MCP scanner that uncovers security vulnerabilities in Model Context Protocol servers. Lightweight, safe, and CI-ready.
- [Why traditional DLP hurts LLM accuracy?](https://www.highflame.com/blog/why-traditional-dlp-hurts-llm-accuracy.md): Traditional data loss prevention (DLP) tools distort LLM prompts and outputs, degrading accuracy and trust. These disruptions lead to unreliable responses, broken user experiences, and slower enterprise AI adoption. Discover why modern LLM security offers a better path forward.
- [Javelin Guard: Next-Generation Security Models](https://www.highflame.com/blog/next-gen-security-models.md): Static rules and blacklists weren’t built for the complexity of modern LLM interactions. Discover a new approach: next-gen security models that evaluate intent, adapt in real time, and align with how enterprise teams actually use generative AI.
- [​AI Agent Authentication Security: Prevent Spoofing, Prompt Injection, and Abuse](https://www.highflame.com/blog/ai-agent-authentication-security.md): Protect enterprise AI workflows from agent impersonation, unauthorized access, and data exposure. Explore security-first practices for LLM agent authentication and control.
- [Top 5 Takeaways for CISOs from RSAC 2025:](https://www.highflame.com/blog/top-5-takeaways-for-cisos-from-rsac-2025-66as2.md): From RSAC 2025: AI security demands a full-lifecycle strategy, identity is now the new perimeter, and open-source collaboration is reshaping threat defense. Explore five key insights every CISO needs to navigate the evolving landscape of enterprise and AI security.
- [Enterprise Strategies for MCP Integration](https://www.highflame.com/blog/securing-the-model-context-protocol.md): Model Context Protocol (MCP) integrations unlock flexible AI agents, but also introduce new security challenges. Explore how to protect MCP workflows with strong authentication, tool permissions, input/output controls, real-time monitoring, and auditability.
- [Highflame achieves SOC2 compliance](https://www.highflame.com/blog/highflame-achieves-soc2-compliance.md): Highflame is the end-to-end real-time AI platform for enterprises building and adopting AI products

## Company
- [About](https://www.highflame.com/about.md): Who Highflame is and what we are building.
- [Contact](https://www.highflame.com/contact.md): Book a demo or get in touch.

## Optional
- [Newsroom](https://www.highflame.com/newsroom.md): Press releases and company milestones.
- [Highflame ZeroID (open source)](https://github.com/highflame-ai/zeroid): Open-source agent identity on open standards.
- [Privacy policy](https://www.highflame.com/privacy-policy.md)
- [Terms of use](https://www.highflame.com/terms-of-use.md)
- [Cookie policy](https://www.highflame.com/cookie-policy.md)