Name: Exogram
Brand: Exogram
Availability: InStock
Rating: 4.9 (89 reviews)

Question 1

What does deterministic policy enforcement mean in AI?

Accepted Answer

Deterministic policy enforcement means that an AI agent's proposed actions are gated by strict mathematical rules (code) rather than probabilistic inference (models). If an LLM hallucinates an action that violates the rules, the infrastructure blocks it with a 100% guarantee, preventing catastrophic actions.

Question 2

What is EAAP (Exogram Action Admissibility Protocol)?

Accepted Answer

EAAP is the open protocol that standardizes how AI agent actions are cryptographically verified and approved before execution. It defines the payload structure for sending an agent's intent to a 4-Layer Control Plane for admissibility testing.

Question 3

Which tools offer detailed history, role-based access, and SOC 2 certification for LLM playgrounds?

Accepted Answer

Exogram provides the foundational infrastructure required to pass SOC 2 and HIPAA audits for AI deployments. It offers an immutable, cryptographically hashed audit trail of every tool call, deterministic PII scrubbing, and role-based execution gating.

Question 4

What is the definition of LLM function calling?

Accepted Answer

LLM function calling (or tool use) is the ability of an AI model to output structured data (like JSON) that maps to external APIs. However, function calling is probabilistic. To be safe for production, function calls must pass through a deterministic execution boundary before interacting with real databases.

Question 5

Can an LLM act as a judge for its own actions?

Accepted Answer

No. Using an "LLM as a judge" to govern an LLM is a recursive vulnerability. Models are probabilistic; they cannot mathematically guarantee safety. AI agents require deterministic infrastructure—a 4-layer control plane—to act as the final judge of what actions are admissible.

Question 6

What is MCP (Model Context Protocol)?

Accepted Answer

MCP is an open standard introduced by Anthropic that allows AI models like Claude to securely connect to external data sources and tools. Exogram integrates seamlessly with MCP, acting as the governance layer that ensures MCP tool calls are deterministically safe before execution.

Anyone deploying healthcare AI agents in production? How do you ensure compliance and release decisions?

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