Highflame sits between your agents and everything they can reach. Each one gets a real identity. Every action is authorized before it runs, then signed, so "who did what, on whose authority" is already answered.
And when every agent can call tools, touch data, and trigger workflows without verifiable identity and scoped authorization, the flaw that once took weeks to exploit now runs in seconds across the production fleet.
A coding agent deletes production records faster than any human can intervene. Nothing stops the action mid-flight.
Credentials stay live long after the workflow ends. A standing door, never closed.
A sub-agent inherits more authority than it should, scope growing instead of shrinking with every hop.
One compromised credential moves laterally across systems. The breach is capped by nothing.
Give every agent identity and scoped authority, and unsafe actions become stoppable by design
When agents outnumber people 100 to 1, you can't review every action. Authorization is zero-trust by default
It comes down to three questions: which agents exist and who they act for, what each one can reach and is allowed to do, and what it actually did. Discover, control, govern.
Agents are multiplying across every team and ecosystem, most of them unmanaged. Highflame discovers them all, connects the identities they already have, and mints verifiable ones where they don't, then maps the whole graph: which agent, acting for whom, reaching what.
A signal-detection engine raises hundreds of signals on every agent run, then scores them against a guardrail layer with adaptive controls that tighten as new patterns appear: every decision made inline, at every boundary the agent crosses.
Every action is attributed to the agent that took it and the human who owns it: a signed, tamper-evident record, mapped to the frameworks you report against. For audit, GRC, and risk teams, the answer is a query, not a quarter-long scramble.
Agents often run through inherited permissions, shared secrets, and fragmented controls. With Highflame, agents become governed identities: attributable to a human, authorized at every boundary, constrained by policy, and auditable by default.
The agent rides the user's token. Nothing to scope, revoke, or trace.
Every agent carries a verifiable SPIFFE identity, an owner, and a trust tier.
PII, keys, and logic sit in the context window, in reach of every tool.
PII and secrets are stripped before they reach the model or any tool.
Nothing stands between a decision and the action. Injection reroutes tool calls.
Every action is judged against policy and live signals before it runs.
Long-lived shared keys, full access, no per-request scope.
Short-lived, per-tool credentials. Task scoped by default.
Unaudited sessions. Incident response ends in "we don't know."
A tamper-evident receipt on every decision, mapped to your frameworks.
Security-critical infrastructure should be inspectable. Highflame’s identity core is open source as Highflame ZeroID, giving teams a transparent, standards-based foundation they can audit, self-host, and extend. Highflame Identity brings that same foundation to a managed Agent Identity & Authorization layer built for production teams.
Highflame maps every policy decision to frameworks like the EU AI Act, NIST AI RMF, OWASP LLM & Agentic, and MITRE ATLAS, turning runtime enforcement into audit-ready proof.
To Engineering it's leverage, to Security it's exposure, to IT it's another identity to manage, to Compliance it's an obligation. Highflame Agent Fabric address each one.
Security approves policy and we enforce it at runtime. Teams move faster because the controls are already in place.
Authorization every prompt, tool call, and delegation, not alerts after the fact. One policy, every boundary. Revoke access in seconds.
Discover every agent across clouds, IDEs, and SaaS, mint identities for the unattributed, and grant access just-in-time, with no standing permissions.
Every action ties to a named human, signed, with framework mappings built in. Generate Audit packs from controls that actually ran.
45 minutes. Your real AI footprint, your highest-risk gaps, and what a deployment looks like in your stack.
* Gravitee, State of AI Agent Security — 750 technology leaders, 2026
