Ship agents fast. Keep them governed
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.
The most privileged AI in your company is the least governed
Coding agents and MCP tools reach your source, secrets, and production systems. And most teams have no controls at the surfaces where it actually happens.
Agents in the IDE see everything
Cursor, Copilot, and Claude Code read source, secrets, and run shell commands. And most orgs have zero visibility into what they actually do.
MCP turns every agent into an integration
Tools pulled from registries, npm, and DMs; corporate tokens pasted into configs, distributed to laptops, never rotated.
Security is the launch bottleneck
Every AI feature waits weeks for review, and each team re-invents its own guardrails from scratch.
Controls at the surfaces engineers actually use
Highflame sits where agents act (the IDE, the CLI, and the tool gateway) and authorizes each action against one policy engine before it executes.
IDE & CLI controls
Every file read, command run, and suggestion is checked against policy before it executes. Across Cursor, Copilot, and Claude Code.
Identity-linked tool calls
Every MCP, A2A, or tool call carries the agent’s identity; the gateway authorizes by destination, scope, and delegation depth.
Delegation that flows and narrows
Orchestrators spawn sub-agents; scope attenuates at each hop, and the on-behalf-of chain stays attributable.
Drop-in, any stack
Adopt it where it fits: at the gateway, in the IDE and CLI, or via JavaScript, TypeScript, Go, and Rust SDKs. Works with your favorite agent platforms like LangGraph, CrewAI, and AgentCore, one policy across all of it.
Ship agents faster, with controls built in
Sign off once, not per project
Security pre-approves policy; you ship without the back-and-forth.
More autonomy, safely
Grant broader tool access and real delegation. Not read-only leashes.
Same controls, build or buy
Homegrown or marketplace, every agent is governed the same way.
From agent sprawl to agent control
- Fleet-wide discovery of every coding agent: typically 3–4× more than estimated
- Policy enforced before an action executes, not flagged after
- Full session replay for incident response: every file read, every command run
- One Cedar policy across model traffic, the IDE, and the tool gateway
- Credentials brokered centrally: never pasted into configs or shipped to laptops
Engineering FAQ
Will it slow my agents down?
Decisions are made inline in under 1 ms, and clean traffic takes the fast path. There’s no human in the loop for routine actions.
Do I have to change my code?
No. Integrate through the SDK when you want deep control, or enforce at the gateway and IDE with no code changes at all.
Which agents and frameworks are supported?
LangGraph, CrewAI, AutoGen, AWS AgentCore, Cursor, GitHub Copilot, Claude Code, and any MCP server: built or bought.
Can I self-host?
Yes. Deploy in your own VPC, on the open-source identity core. The platform above it is what you license.
See it against your own agents
A 45-minute session covers your real agent footprint, where the highest-risk gaps are, and what a deployment looks like in your stack.