Competitors govern the session.
RaksHex governs the action.
Runtime authorization for autonomous AI agents. Semantic actions, delegated authority with parent-to-child attenuation, a hash-chained tamper-evident Action Ledger, and credential mediation so a DENY is enforced, not just logged.
Built-in capabilities
The Agent Firewall core, piece by piece: how an action gets authorized, delegated, enforced, and recorded.
Semantic actions
Policy is written against what an agent is doing, not the HTTP call underneath it.
- Actions like financial.refund, not raw endpoints
- One policy model across providers
- SDK-based integration into your agent's call path
- No proxy re-architecture required to get started
Session-Level vs Action-Level Control
Drag the handle to compare governing who has a session against governing what each individual action is actually allowed to do.
RaksHex Agent FirewallAction-Level
Parent-to-child attenuation — a child authority can never exceed its parent's scope.
A DENY blocks the credential itself — the secret never reaches a denied caller.
Every decision is recorded tamper-evidently for audit and dispute resolution.
Why Teams Move Past Session-Level Auth To RaksHex
A valid API key or session token proves who is calling — not whether this specific action, right now, should be allowed.
Govern the action, not the session
Every semantic action is evaluated against the caller's actual delegated authority, not just whether the session is valid.
A DENY that actually denies
Enforcement happens at the credential broker, so a blocked action can't fall back to a raw API key that still works.
Evidence you can hand to an auditor
The hash-chained Action Ledger gives you a tamper-evident record of every authorization decision, not a log you have to trust.
The credential broker mediates every brokered request. A DENY blocks the secret from ever reaching the caller — enforcement lives at the same layer as the credential, not in a dashboard someone has to watch.
One Policy Model, Every Provider
The same semantic action and delegated-authority model applies regardless of which LLM provider or coding agent is making the call.
RaksHex Agent Firewall
Action Authorization & Policy Engine
OpenAI
LLM ProviderAzure OpenAI
LLM ProviderAWS Bedrock
LLM ProviderGoogle Vertex / Gemini
LLM ProviderGitHub Copilot
Coding AgentCursor
Coding AgentOpenAI-Compatible
Self-Hosted / CustomVisibility Isn't Control. Enforcement Is.
Where RaksHex sits relative to logging, alerting, and session-scoped approaches teams already run today.
Agent Firewall
Each semantic action is authorized against attenuated authority in real time — no queue, no broad session grant.
How RaksHex Compares 1-on-1
Select a competitor below to see detailed side-by-side feature capabilities, security coverage, and operational differences.
RaksHex vs Snyk
Snyk scans repos and dependencies for known CVEs before code ships. It doesn't evaluate what an already-running AI agent is authorized to do at call time.
