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Use Case

Lock Down Your Coding Assistants

AI coding agents see your source code. AI Identity controls what goes where — with per-repo identities, model restrictions, and a tamper-proof audit trail of every interaction.

The Challenge

Your code is your most valuable IP. AI coding assistants create new attack vectors.

Code Exfiltration

Coding assistants send your proprietary source to LLM providers. No visibility into what code leaves your environment or where it goes.

Shared Credentials

One API key for all coding agents across all repos. A leak in one repository compromises your entire fleet of AI assistants.

No Visibility

Which model saw which file? When? What was the response? Security teams are flying blind when AI assistants access source code.

How AI Identity Solves This

Complete visibility and control over every AI-code interaction.

Per-Repository Identities

Each coding agent gets its own identity scoped to a specific repo or team. Isolate blast radius and revoke access per-project.

Model Access Policies

Control which agents can access which models. Restrict sensitive repos to approved models only — block experimental or preview models.

Full Code Audit Trail

Every code snippet sent to an LLM is logged with HMAC integrity. Know exactly what left your environment and when.

Anomaly Detection

Spot unusual patterns: bulk code submissions, off-hours access, unauthorized model switching. Get alerts before damage is done.

See It in Action

Register a coding agent with model restrictions and time-based policies.

Python
from ai_identity import AIIdentityClient

async with AIIdentityClient(api_key="aid_sk_...") as client:
    # Register a coding assistant for the payments repo
    agent = await client.agents.create(
        name="copilot-payments-repo",
        description="Coding assistant — payments service only",
    )

    # Restrict to approved models and working hours
    await client.policies.create(
        agent_id=agent.agent.id,
        rules={
            "allowed_models": ["gpt-4o", "claude-sonnet-4-20250514"],
            "blocked_models": ["*-preview", "*-experimental"],
            "time_window": {
                "start": "08:00",
                "end": "20:00",
                "timezone": "US/Eastern",
            },
        },
    )

    # Full audit trail of every code interaction
    logs = await client.audit.list(agent_id=agent.agent.id)
    print(f"Tracked {logs.total} code interactions")

Ready to protect your source code?

Start with AI Identity for free — per-repo agent identities, model policies, and full audit logging.