Shokan is a real-time intent orchestration control plane that evaluates every AI agent action against your policies — before execution. Deterministic. Least-privilege. Auditable.
shokan debug --trace agent-run-4f2a ✗ BLOCKED support-bot → databricks.query (schema:sales.pipeline) Why: intent=customer_support sales.pipeline outside approved scope Fix: databricks.query on schema:sales.tickets Scope: this session · revoked on completion shokan apply --fix✓ Applied. Agent unblocked.Traditional IAM verifies WHO the agent is — but not WHY it is acting. It cannot evaluate the intent of an action or the contextual risk of execution.
Shokan translates agent intent into enforceable, fine-grained access policies — at runtime, before any action executes, across every tool and system your agents touch.
Run the debugger against any failed agent call. Start from existing traces and logs — no new infrastructure required.
Get a precise grant recommendation scoped to the exact task, session, and agent. Apply it in one command.
From debugging into monitoring, policy enforcement, and full governance — when your team is ready.
Agents act faster than any human can review.
Agents execute at machine speed. Post-action monitoring is too late, and manual approvals quickly become rubber stamps.
Multi-step agents across diverse tools are impossible to predict — or audit.
Multi-step reasoning over diverse tools, data, and sub-agents makes agent actions difficult to predict, track, or control.
Your agents inherit everything you can do — even when they only need a fraction of it.
Human permissions reflect the union of all tasks and roles. Agents executing a single task inherit the entire footprint — including overscoped credentials with no way to distinguish agent identity from human identity.
When something goes wrong, you need to know which agent did it — not just that 'an agent' did.
Issues verified machine identities to every agent and sub-agent, establishing a cryptographically attested trust chain from user delegation to execution context.
You can't secure what you can't see — map every resource your agents can reach before they reach it.
Automatically identifies agent workflows, tools, credentials, and all accessible resources — creating a comprehensive operational map.
Your agent made dozens of MCP calls in production — do you know what any of them were?
Captures full telemetry across every Model Context Protocol call — which tools agents invoke, with what arguments, and against which resources.
By the time you see the error, the damage is done — stop unsafe actions before they execute.
Evaluates every tool action against established policies before execution. Sensitive or destructive operations trigger step-up verification — no agent bypasses elevated-risk action gates without explicit clearance.
What your agent is allowed to do should be enforced at runtime, not documented in a README.
Binds each agent to a machine-readable charter defining its purpose, resource scope, and risk envelope — then enforces that charter at every access decision, before any tool call executes.
You secured your REST API but forgot your agent also uses a CLI — enforcement gaps are how things go wrong.
Enforces policy uniformly across REST APIs, CLIs, MCP servers, and direct SDK calls — no enforcement gaps regardless of how agents communicate.
When something goes wrong, 'the agent did it' isn't a postmortem — you need the full trace.
Generates immutable audit evidence for all agent actions and provides instant kill-switch capabilities for immediate threat containment.
You shouldn't need to become a security engineer just to ship safe agents.
Integrate via a standard SDK hook or sidecar — no custom policy authoring, no YAML schemas, and no security engineering prerequisites to get started.
A long-lived API key sitting in your agent's memory is a breach waiting to happen.
Issues per-tool-call credentials scoped to task, agent, user, and environment — held in memory only, never written to disk, fully reaped after each session.
Sub-agents inheriting your orchestrator's full permissions is how blast radius explodes.
Sub-agents cannot escalate beyond the privilege scope granted by their parent. Every delegation is bounded, auditable, and enforced at the control plane.
Permissions set at deploy time drift — your agent's access should adapt as your posture changes.
Leverages real-time signals from CAEP/RISC/SSF and other intelligence sources to continuously adapt and fine-tune agent permissions.
Already running OpenClaw or NemoClaw? Shokan adds the governance layer they don't provide.
Wraps OpenClaw and NemoClaw deployments with charter enforcement, scoped credentials, and immutable audit — giving teams a governed path to adopt these frameworks without inheriting ambient OS-level or network exposure.
Join enterprise security and platform leaders who are shaping the future of agentic AI governance.
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