Originally Published Research by Richard EwingCanonical Reference ↗
Architecting Deterministic Security Gates for AI Agents
Richard Ewing··7 min read
Deploying autonomous AI agents into production without deterministic security gates exposes enterprise systems to un-sanctioned API mutations, prompt injection exploits, and unchecked loop execution.
The Probabilistic Safety Trap
Relying on system prompts or model-level safety alignment (such as Constitutional AI or LLM-as-a-Judge) leaves execution safety bound to probabilistic inference. Natural language instructions can be bypassed or misconstrued when processing complex multi-turn context.
Sub-Millisecond Admissibility Gates
To achieve operational reliability, tool call validation must execute before reaching the target API or database. Exogram evaluates every proposed tool invocation in 0.07ms using in-memory logic rules.
Enforcement Architecture
- • Pre-Execution Interception: Catch tool calls upstream at the client or gateway adapter.
- • Zero LLM Inference: Pure code-level policy evaluation ensures zero false negatives and constant 0.07ms latency.
- • Signed JWT Tokens: Authorize downstream tools with ephemeral cryptographic execution credentials.