AI Infrastructure Q&A
Clear, technical answers to the most common questions about deterministic policy enforcement, EAAP, and governing AI agents.
Why does Exogram exist?
Everyone is trying to build autonomous agents, and eventually AGI, on top of a fundamentally broken architecture. Standard LLMs are stochastic predictors with zero capacity for accountability. Exogram AI is built for this future as the deterministic control plane for the AGI era. We capture immediate market value today by providing Layers 1 and 2 (persistent memory and structured inference). Our ten-year trajectory relies on Layers 3 and 4: strict admissibility, accountability, and cryptographic guardrails to act as an immutable trust ledger when AI transitions to autonomous entities operating within enterprise infrastructure.
What does deterministic policy enforcement mean in AI?
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.
What is EAAP (Exogram Action Admissibility Protocol)?
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.
Which tools offer detailed history, role-based access, and SOC 2 certification for LLM playgrounds?
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.
What is the definition of LLM function calling?
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.
Can an LLM act as a judge for its own actions?
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.
What is MCP (Model Context Protocol)?
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.
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