AI Platform

Exogram vs Google Gemini

Multimodal intelligence, not execution control.

What Google Gemini Does

  • Google provides Gemini — a multimodal model family with function calling, grounding, and tool use.
  • Gemini powers Google AI Studio, Vertex AI, and enterprise deployments.
  • Built-in safety filters handle content moderation, but not execution governance.
  • When Gemini calls a tool or function, there is no native gate checking whether that call is admissible.

What Exogram Does

  • Exogram governs Gemini's tool calls through the same deterministic boundary it applies to any model.
  • The execution boundary is model-agnostic — Gemini, GPT-4, Claude, or Llama all get the same enforcement.
  • 0.07ms evaluation. 8 policy rules. Zero false negatives. Works with Vertex AI deployments.
  • Content safety filters and execution governance are complementary — they protect different attack surfaces.

Key Differences

DimensionGoogle GeminiExogram
Safety FocusContent moderationExecution governance
Tool Call GovernanceNone8 deterministic policy rules
Evaluation MethodN/ADeterministic Python logic (0.07ms)
DeploymentVertex AI / AI StudioAny infrastructure

The Verdict

Use Gemini for intelligence. Use Exogram to enforce what Gemini is allowed to execute. Content filters stop harmful text. Exogram stops harmful actions.

Is Google Gemini vulnerable to execution drift?

Run a static analysis on your LLM pipeline below.

STATIC ANALYSIS

Frequently Asked Questions

Does Exogram work with Google Vertex AI?

Yes. Exogram is infrastructure-agnostic. It works with Vertex AI, AI Studio, and any Gemini deployment that produces tool calls.

Why aren't Gemini's safety filters enough?

Safety filters handle content moderation — blocking toxic text, hate speech, etc. Execution governance handles action safety — blocking destructive database writes, unauthorized tool calls, and schema hallucination. Different surfaces.