CodeIntegrity

What it does

CodeIntegrity provides a runtime control layer for AI agents, acting as a translator and filter to enforce deterministic rules. It intercepts tool calls, data flows, and risky actions before execution, preventing prompt injection attacks and data leaks. The platform separates instructions, data, and actions using a dual-LLM architecture: one model controls the workflow, while another reads untrusted content and returns structured values inside a sandbox. Every sensitive action generates a security record with request, source context, destination, policy decision, and outcome.

Who it is for

CodeIntegrity is designed for enterprise security teams and developers deploying AI agents in production. It targets organizations that need to maintain compliance (SOC 2 Type II) and control over agent behavior, especially those handling sensitive data like PII, confidential records, or source code. The platform supports on-premise, self-hostable deployment for environments where agent traffic must stay within enterprise boundaries.

Why it matters

As AI agents autonomously execute tool calls, they introduce new risks: prompt injection can change intent, untrusted content can steer tool paths, and data can leak across systems. Traditional security tools lack visibility into runtime agent actions. CodeIntegrity fills this gap by providing deterministic controls before execution, aligning with recognized security frameworks. It turns every agent action into a control point, evaluating intent, data provenance, destination, and risk.

Launch signal

CodeIntegrity has raised $5M in seed funding from top investors. The company is backed by notable investors and has published research on agentic threats, including adaptive prompt injection and tool abuse. The platform is SOC 2 Type II compliant and offers on-premise deployment options.

Brand and naming

The name "CodeIntegrity" combines "code" and "integrity," emphasizing the product's focus on maintaining the integrity of code execution in AI agents. The tagline "Runtime guardrails for unpredictable AI agents" clearly communicates the value proposition. The brand positions itself as a security layer that brings determinism to inherently unpredictable AI behavior, appealing to enterprise buyers concerned about compliance and control.