API Key Protection & Exfiltration Prevention

AI agents operating via the Model Context Protocol (MCP) are highly susceptible to indirect prompt injection and the “Confused Deputy” vulnerability. If an agent is manipulated into running an open-ended terminal command or database query, it can easily read system environment variables containing production AWS keys, Stripe tokens, or internal database credentials.

Standard MCP pipes will stream these secrets directly out of your perimeter to a third-party LLM endpoint. Panovista eliminates credential exfiltration by acting as an inline firewall, abstracting and securing API keys entirely outside the agent’s contextual execution boundary.

Real-Time In-Flight Redaction

Panovista operates as an inline firewall that reads the payload of every MCP response before it leaves your internal network.

Using high-performance compiled regular expressions, Panovista actively scans for standard credential formats (e.g., AKIA... for AWS, sk_live_... for Stripe, or generic RSA private keys). When a secret is detected in the data stream, the proxy instantly neutralizes the payload, replacing the credential with a safe [REDACTED_SECRET] token.

Static Inversion of Credentials

Instead of forcing developer applications to load raw environment variables directly into the runtime context of the MCP server, Panovista implements Static Inversion of Credentials.

Your MCP servers communicate using localized, non-privileged proxy keys. Panovista holds the actual upstream enterprise secrets within its secure, encrypted configuration vault. When an agent invokes a tool, Panovista dynamically injects the correct authorization headers at the network egress point, meaning the AI agent never touches the actual secret keys.

Fail-Closed Architecture & Egress Whitelisting

Your enterprise security cannot rely on the AI model “behaving well.” Panovista’s stateless Go engine is built on a strict fail-closed paradigm.

If an agent attempts to forge an outbound network request to a rogue URL, or if an internal tool returns unexpectedly large unstructured data, the proxy drops the connection rather than risk a credential leak. This behavior is controlled via strict egress policies:

{
  "version": "1.0",
  "policy_name": "strict_egress_enforcement",
  "action": "allow_restricted",
  "allowed_domains": [
    "api.openai.com",
    "api.anthropic.com",
    "internal-billing.local"
  ],
  "default_action": "drop_connection"
}

By combining in-flight redaction, static credential inversion, and a fail-closed network perimeter, Panovista ensures your production credentials remain completely sealed from external extraction.