Integration

Three steps. Full control.

Register Your Agent

One function call issues a verifiable identity certificate for your agent. mTLS is configured automatically.

nayker.register({
  name: "invoice-agent",
  scopes: ["gmail.send"]
})
Certificate Issued

Define Permissions

Set granular scopes for what each agent can access. Everything else is denied by default.

gmail.read
ALLOWED
gmail.send
ALLOWED
banking.transfer
BLOCKED
slack.post
ALLOWED
api.admin
BLOCKED

Ship with Confidence

Nayker monitors every action in real-time. Anomalies pause the agent and notify your team. Context is preserved — every time.

[09:41:52]✓ Approved by sarah@nayker.ai

[09:41:52]Restoring agent context...

Task: "Process invoices for June"

Progress: Step 47 of 203

Next action: gmail.send → sarah@nayker.ai

[09:41:53]Agent resumed at exact checkpoint.

All systems nominal. Certificate valid. Audit complete.

Under the Hood

The Architecture

Nayker uses a three-layered approach. Each layer handles a specific part of agent security, and they work together to create a complete zero-trust system.

STEP 1
STEP 2
STEP 3
1

Layer 1:
Credential Vault

Stores OAuth tokens, API keys, and session credentials in an AES-256 encrypted vault. Handles automatic token refresh, MFA interruption state, and secure proxying. Agents never see raw passwords.

In practice:

  • Your passwords and API keys are locked in an encrypted safe
  • Agents use credentials without ever seeing them
  • If a token expires, Nayker refreshes it automatically — zero downtime
2

Layer 2:
Policy Engine

A declarative, code-driven policy layer that defines exactly what each agent is allowed to do. Policies are evaluated at runtime before every action, supporting allow, deny, or approval-required states.

In practice:

  • You write simple rules: "Agent can read emails, but not send them"
  • Every action is checked against your rules before it runs
  • Change permissions instantly — no redeployment needed
3

Layer 3:
Human-in-the-Loop

When an agent hits a sensitive action, Nayker pauses execution, saves state to Redis, and notifies the human via Slack or Push. Execution resumes exactly where it stopped post-approval.

In practice:

  • High-risk actions automatically pause and wait for your approval
  • You get a Slack notification: "Agent wants to transfer $5,000. Approve?"
  • After you approve, the agent continues from the exact point it paused