Silo

The layer

Govern. Silo is the control plane that keeps autonomous agents accountable — machine-speed guardrails with evidence that satisfies regulators, boards and insurers.

The problem

Hundreds of thousands of AI agents now operate inside enterprise networks with direct access to production databases, code repositories, financial systems and customer data. Today’s tools watch the wrong things: EDR detects malware, SIEM correlates logs, firewalls filter traffic — none can detect an AI agent exfiltrating data while completing its assigned task. No security product monitors the agents themselves. Silo is the first.

Five-layer defence — silicon to cloud

Silo enforces observation at five independent trust boundaries, from the hardware up:

L0 Silicon → L1 Phantom → L2 Guardian → L3 Mesh → L4 Cortex.

Because each layer watches independently, tampering with one shows up as a discrepancy in another. Compromise has to defeat all five at once — making it physically, not just computationally, hard to fake.

What exists today

This is not a concept. Silo is 1.4 million lines of code, shipping via CI/CD across 6 platform targets on every major enterprise OS, documented in 10 technical papers (240+ pages), and red-teamed to >90% detection accuracy at under 1% false positives. Independent assessment put the replacement cost at $5–8M and 12–18 months.

The category

There is no Gartner quadrant or Forrester wave for AI-agent security yet — because Silo is creating the category. The market goes from roughly $0 today to an estimated $2–4B by 2029 as agents move into production everywhere. The first mover defines the space.