Zero Trust Security for AI Agents
Project description
Cerone — Governance and Zero Trust Runtime for AI Agents
Powered by AZTP (Agent Zero Trust Platform)
Cerone gives every AI agent a cryptographic identity, validates that its actions align with its declared purpose, and produces an auditable runtime trail across identity, validation, governance, and delegated token exchange.
Most teams deploying agents in production still have weak runtime control over what those agents actually do. Cerone is built to fix that.
Why developers try Cerone:
- start immediately with hosted trial access from the SDK
- add governance without replacing the rest of the agent stack
- keep your own model-provider key and model spend
- get explicit
approved,flagged, orrejectedruntime decisions - use a lean runtime trust layer instead of a heavy control-plane rewrite
Install
The current hosted SDK package name is cerone.
pip install cerone
If you are working from source, clone this repository and install it locally:
git clone https://github.com/AnantDhavale/cerone_sdk.git
cd cerone_sdk
pip install -e .
Access Modes
Cerone now has two usage paths:
-
Hosted API trial
CeroneClient()can bootstrap an anonymous hosted trial token automatically- the current hosted trial is designed for evaluation and demo use
- if the trial is exhausted, contact us for persistent access
-
Python SDK usage
- use
CeroneClient()with no key for hosted trial bootstrap - use a provisioned key for persistent POCs or production environments
- use
Hosted signup and support:
Hosted service terms:
Quick Start
import asyncio
from cerone import CeroneClient
async def main():
client = CeroneClient(
base_url="https://aztp-homer-semantics.onrender.com",
)
try:
health = client.health_check()
print(f"Health: {health}")
certificate = client.create_agent(
purpose="Customer billing support",
capabilities=["db_read", "billing_api"],
)
print(f"Agent ID: {certificate.agent_id}")
print(f"Trust score: {certificate.trust_score}")
result = await client.validate_async(
agent_id=certificate.agent_id,
action="database_query",
parameters={"table": "billing", "customer_id": "123"},
)
print(f"Validation result: {result}")
trust_score = client.get_trust_score(certificate.agent_id)
print(f"Trust score: {trust_score}")
audit_log = client.get_audit_log(certificate.agent_id, limit=10)
print(f"Audit log: {audit_log}")
finally:
await client.aclose()
asyncio.run(main())
What Cerone Validates
| Check | What it catches |
|---|---|
| Cryptographic identity | Impersonation, spoofed agents |
| Semantic alignment | Agents acting outside their declared purpose |
| Trust scoring | Behavioural drift over time |
| Capability scope | Agents calling tools they were never granted |
| Lineage integrity | Unauthorized parent-child relationships |
Bring Your Own Model Key
Cerone governs agent behaviour, not inference.
You keep your own OpenAI, Anthropic, or other provider key and pass it directly to your model calls. Cerone validates the agent action and records the governance trail, but it does not sit in the middle of your model billing path.
import asyncio
import openai
from cerone import CeroneClient
async def main():
client = CeroneClient(
base_url="https://aztp-homer-semantics.onrender.com",
)
openai_client = openai.AsyncOpenAI(api_key="sk-...")
try:
certificate = client.create_agent(
purpose="Summarise support tickets",
capabilities=["read_ticket", "write_summary"],
)
validation = await client.validate_async(
agent_id=certificate.agent_id,
action="write_summary",
parameters={"ticket_id": "T-001"},
)
print(f"Validation result: {validation}")
response = await openai_client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "user", "content": "Summarise ticket T-001"}],
)
print(response)
finally:
await client.aclose()
asyncio.run(main())
Validation Pattern
The current cerone SDK exposes validation through CeroneClient.
Validate the intended action before running the local tool or model call you
control.
from cerone import CeroneClient
client = CeroneClient(
base_url="https://aztp-homer-semantics.onrender.com",
)
certificate = client.create_agent(
purpose="Customer data analysis",
capabilities=["db_read", "analytics"],
)
validation = client.validate(
agent_id=certificate.agent_id,
action="database_query",
parameters={"customer_id": "123"},
)
print(f"Validation result: {validation}")
# Run your local tool after validation.
customer = {"customer_id": "123", "name": "Jane Doe"}
print(customer)
client.close()
Tiers
| Trial | Startup | Pro | Enterprise | |
|---|---|---|---|---|
| Validations / 30-day window | Hosted evaluation flow | 50,000 | 500,000 | Custom |
| Agents | Limited | 25 | 250 | Custom |
| Audit retention | Limited | 30 days | 90 days | 365 days |
| Model access | BYO | BYO | BYO now, managed later | BYO or managed |
| Support | — | Priority | Dedicated | |
| Commercial model | Evaluation | Contact us | Contact us | Contact us |
Current commercial motion:
- evaluate first
- contact us for provisioned persistent SDK access
Architecture
Your Agent Code
│
▼
Cerone SDK ──────────────────────────────────────────┐
│ │
▼ ▼
AZTP Platform (aztp-homer-semantics.onrender.com) Your LLM Provider
├─ Identity Manager
├─ Semantic Validator
├─ Trust Engine
└─ Audit Logger
Integration Direction
Cerone is being shaped to govern:
- agent frameworks
- custom tool-calling runtimes
- business workflows that need identity, validation, and audit
If you want a specific framework or business-system integration, contact us directly.
Usage and Quota
curl https://aztp-homer-semantics.onrender.com/usage \
-H "X-API-Key: sk_startup_..."
This returns current usage, remaining quota, reset date, and tier feature flags.
Documentation
License
License
This SDK repository currently uses a proprietary commercial SDK license.
The SDK source license and the hosted Cerone service terms are separate:
- SDK / package code: LICENSE
- Hosted service usage: TERMS_OF_SERVICE.md
Free trial and hosted commercial terms are subject to change.
Contact and Feedback
- Website: homersemantics.com
- Support: info@homersemantics.com
- Founder: anantdhavale@gmail.com
If you are using Cerone, feedback is genuinely useful. POCs and design partners are welcome.
Disclaimer
Cerone is provided for evaluation and operational governance support, but final deployment, enforcement choices, and production use remain your responsibility. Use the SDK and hosted service at your own discretion and risk. To the maximum extent permitted by law, Homer Semantics and Anant Dhavale are not liable for any direct, indirect, incidental, consequential, business, data, model, or security losses arising from use, misuse, non-use, or reliance on Cerone.
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