CitrusGlaze vs Netskope

Netskope routes your AI traffic through their cloud. Every prompt your developers send to ChatGPT, Claude, or Copilot passes through Netskope's inspection infrastructure. They terminate TLS, they see the raw HTTP body — they can see what's inside.

But Netskope treats api.openai.com like any other HTTPS endpoint. It applies general-purpose DLP pattern matching to the raw POST body. It doesn't parse AI protocols — it doesn't know that a JSON field is a system prompt, a tool call, or an assistant response. It can't enforce policy per-tool, detect prompt injection, or count tokens.

CitrusGlaze runs as a local prompt firewall. It parses the OpenAI, Anthropic, Google, and Mistral API schemas. It knows the difference between a user message and a tool result. Policies are enforced at the prompt level, not the domain level — and everything is inspected on your device before it leaves.

If your threat model is "don't send proprietary source code through a third-party cloud to prevent it from leaking to a different third-party cloud" — that's exactly what Netskope does. CitrusGlaze inspects everything locally. Nothing leaves your device.

51.4% of AI traffic comes from programmatic sources — Node.js scripts, Python SDKs, CLI tools like Claude Code, and automated agents. This is not browser traffic.

Netskope's strength is inline web/cloud traffic inspection. Their coverage of terminal-based AI tools depends on the Netskope Client being installed, properly configured for SSL interception, and the application respecting system proxy settings.

Many CLI tools and SDKs bypass system proxy settings or use their own certificate stores. We've tested 39 AI tools through our local AI inspection engine and verified compatibility with each one.

There's another gap: Netskope exempts certificate-pinned applications from TLS inspection. Native Google apps (including Gemini), some Electron apps, and mobile clients pin their certificates — Netskope passes this traffic through uninspected. CitrusGlaze's local proxy handles cert-pinned apps because it operates at the system level before traffic leaves the device.

Netskope's DLP is a general-purpose data loss prevention engine — PII, PHI, PCI data across all traffic. It can match patterns in the raw HTTP body of an AI API call, but it doesn't parse the AI protocol structure. It can't distinguish a secret inside a user prompt from one inside a cached tool result or system message.

CitrusGlaze's Rust engine scans for 349+ secret patterns specifically tuned for what developers paste into AI prompts: AWS access keys, GitHub tokens, database connection strings, private keys, and high-entropy strings.

96.4% of detected secrets in AI traffic are API keys and passwords (Nightfall AI, 2025). These are the patterns we optimize for.

Netskope doesn't do this. Their product is security-focused — they tell you what data is leaking, not what it costs.

CitrusGlaze tracks tokens per request, calculates cost per provider, and attributes usage per application. The average organization spends $85,521/month on AI — up 36% year-over-year (CloudZero, n=500, 2025). Without per-request cost visibility, you can't identify waste.