SOURCE CODE PROTECTION

Engineers use AI coding tools. Source code leaves in every prompt.

GitHub Copilot, ChatGPT, and Claude are now standard tools in every engineering team. Unbound lets engineers use them while keeping your IP, your architecture, and your unreleased code off external servers.

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def calculate_risk_score(user_id, transaction):
    # REDACTED: proprietary algorithm
    account = get_account(user_id)
    if account.tier == "enterprise":
        return _enterprise_score(
            transaction,
            account.risk_model
        )
    return _standard_score(transaction)

# API_KEY = "sk-prod-[REDACTED]"
# DB_URI  = "postgres://[REDACTED]"

UNBOUND: source-code + secrets detected
ACTION: redact before send

THE PROBLEM

AI coding tools train on what they receive. Including your code.

88%

of developers regularly paste substantial code context when prompting AI coding assistants.

3+ files

of source context sent per complex debugging prompt on average, including internal configuration and API structure.

Invisible

Source code in AI prompts travels as HTTP POST body. Network DLP rules cannot see inside HTTPS payloads without MITM decryption.

WHAT UNBOUND DETECTS

Every form of source code exfiltration, caught inline.

Function Bodies

Complete function or method definitions, class structures, interface declarations. ML classification identifies code regardless of language, including Python, TypeScript, Go, Java, Rust, and SQL.

Embedded Credentials

API keys, tokens, and database credentials embedded in code context. Engineers routinely paste production configuration files when debugging. Secrets are redacted from code context before it leaves.

Architecture Fragments

Import graphs, schema definitions, internal service names, and data model structures that reveal proprietary system architecture even without full function bodies.

Repository Metadata

File paths, module names, and comment references that reveal internal naming conventions and codebase organization. Often pasted as context alongside code questions.

Config Files

Infrastructure configuration, environment variables, and deployment manifests. These are often pasted verbatim when troubleshooting and contain infrastructure topology details.

Policy Actions

Per-team rules: block source-code prompts to public tools, allow with redaction applied to secrets only, or log for review. Engineering teams can be granted elevated code-send permissions when needed.

PROTECT YOUR IP

Let engineers use AI coding tools. Keep your code internal.

Request a demo and see source-code detection running live on your own codebase.

Request Demo