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Zero Trust Security for AI Agents

Project description

Cerone Python SDK (Beta)

Zero Trust security and production governance for AI agents. Cryptographic identity and run-time validation for AI agents in production.

AI agents are being deployed into production systems that handle real decisions, real data, and real consequences, yet most teams have no runtime control over what those agents actually do. Cerone fixes that.

Cerone enforces cryptographic identity, semantic intent validation, and continuous trust scoring on every agent action; ensuring agents only do what they were authorized to do, and nothing else. Deploying AI agents in production without this layer of protection is an unacceptable operational and security risk.

The SDK is currently in early-access beta for selected teams building production AI systems that require accountability, auditability, and control.

Install

pip install cerone

Access (Beta)

API access is currently managed through early access:

Quick Start

from cerone import CeroneClient
import os

client = CeroneClient(api_key=os.getenv("CERONE_API_KEY"))

# Create agent
agent = client.create_agent(
    purpose="Email classifier",
    capabilities=["read_email", "move_email", "send_reply"]
)

# Validate action before executing
response = client.validate(
    agent_id=agent.agent_id,
    action="move_email",
    parameters={"email_id": "123", "folder": "spam"}
)

if response.result.value == "approved":
    mailbox.move_email("123", "spam")
else:
    print(f"Action rejected: {response.violations}")

What the SDK Provides

  • Authenticated client access to Cerone services
  • Agent registration and identity-bound operations
  • Sync and async validation calls
  • Batch validation support
  • Governance-oriented telemetry surfaces

Usage Terms

Usage limits and commercial terms are defined in TERMS_OF_SERVICE.md.

Current free trial: up to 25 validations in the first 5 days.

License

Proprietary commercial license. See LICENSE.

Contact

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