← Silo

Executive brief · Governance & Security

SILO — the layer your AI can't lie to.

The first security architecture built to watch AI agents themselves. A five-layer defence from silicon to cloud, where compromise must defeat every layer at once — making it physically, not just computationally, hard to fake.

5-layer Silicon-to-cloud defence
3 OS Linux, Windows & macOS
1.8M Lines of production code
10 Technical papers · 240+ pages

The problem

Hundreds of thousands of AI agents now run inside enterprise networks with direct access to production databases, code, financial systems and customer data. A compromised agent authenticates with valid credentials and executes approved actions — it never trips a signature. The ultimate insider threat operates with perfect credentials, and no existing tool can see it.

EDR asks “Is this malware?”
SILO asks “Is this AI lying?”

Why it can't be faked

Detection is not about seeing the threat. It is about seeing the disagreement between layers. A rootkit can fool the OS kernel — but not the kernel and the hypervisor and the silicon at the same instant. When a lower, harder-to-spoof layer sees anomalies while the OS reports calm, that cross-layer discrepancy is the signal. It is physically unforgeable.

Five independent layers — silicon to cloud

  • L0 · Silicon Sentinel Ground-truth hardware visibility below the reach of the operating system — bus transactions, DMA and CPU instructions.
  • L1 · Phantom Visor Hypervisor isolation and observation enforced at Ring -1, independently of OS state.
  • L2 · Guardian Complete OS-kernel coverage — every syscall, file and network action an agent takes.
  • L3 · Agent Mesh A per-agent behavioural baseline with real-time anomaly detection — intent, not signatures.
  • L4 · Neural Cortex Cross-layer signal fusion and graduated, human-gated response.

What exists today

Not a concept. SILO ships via CI/CD across major enterprise platforms — Linux, Windows and macOS — documented in ten technical papers (240+ pages, available on request) and red-teamed to high detection at a low false-positive rate in internal testing on real production telemetry (methodology and a live demo on request). Beta-ready, with general availability inside six months. NVIDIA Inception member.

The category

There is no Gartner quadrant for AI-agent security yet — because SILO is creating it. Category creators compound: Microsoft shipped Defender and CrowdStrike still became a ~$75B company; AWS shipped GuardDuty and Wiz still reached ~$12B.

  • ~$0 → $2–4B — AI-agent security market, today to 2029
  • 100Ks → tens of millions — AI agents in production, today to 2029
  • $5–8M · 12–18 months — Independently assessed replacement cost

SILO retires the technical risk first — the architecture is built, documented and red-teamed. For the full executive summary and a category walkthrough, request a briefing.

Silo.Red · Agencie.io Labs · part of Agencio APAC Pte Ltd · Proprietary & confidential beyond this brief.