Highflame · AI Agent Security, Identity & Governance
Highflame Identity is now open source: agent identity on open standards.
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.
Govern every agent. Prove every action
Governs agents across
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The agent problem isn’t intelligence. It’s authority
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.
- 48% of production AI agents run unsecured
- 85% have no formal accountability for agent behavior
- 54% hit or suspected an agent security incident in the past year
Give every agent identity and scoped authority, and unsafe actions become stoppable by design.
From agent sprawl to fully governed
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.
LIVE AUTHORIZATION inline · before it runs
Agent
support-bot
spiffe://acme.highflame.ai/agent/support-bot
owner: Maya Chen Highflame Identity
▸ send_email →
Body carries injected instructions
request: Highflame control fabric
Identity: verified · trust tier ✓
Scope: write:email granted ✓
Detection: injection 82/100
01 · DISCOVER
Find every agent. Make each a first-class identity.
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.
- Continuous discovery across clouds, IDEs, and SaaS
- Connect existing identities or mint new ones with Highflame Identity
- A live graph of every agent, its owner, and its tools
02 · CONTROL
Authorize every action, inline
A signal-detection engine raises 150+ typed 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.
- 150+ typed signals on every agent run
- Adaptive guardrail layer, under 10 ms
- Inline decisions at every boundary
03 · GOVERN
Prove it to the board, to the auditor
Agent governance you can prove: 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.
- Every action tied to the agent, and its human owner
- OWASP · NIST · MITRE · EU AI Act, mapped by default
- Posture, blast radius, and exportable proof
Anatomy of an agent
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.
What only Highflame adds
- Cascade revocation, fleet-wide
- Mission & drift control
- In-house detection models
Open foundation for trusted Agent Identity
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.
Agent Identity: A Technical White Paper
A deep dive on agent-shaped credentials, delegation (RFC 8693), DPoP-bound tokens, and cascade revocation.
Agents create leverage. They also create exposure.
- Engineering: Ship agents without waiting on every sign-off
- Security: No agent acts outside your authority
- IT & Platform: Govern agents like every other identity
- Compliance: Turn "we think we're compliant" into proof
See it against your own agents.
45 minutes. Your real AI footprint, your highest-risk gaps, and what a deployment looks like in your stack.