Quantum Pipes
Backed by Google DeepMind Research

8 Layers of Defense.
Zero Layers of Obscurity.

The Membrane protects your AI agents from adversarial content manipulation. Open-source, air-gap compatible, post-quantum ready.The code is public. The math is unbreakable.

8
Defense Stages
22
Threat Vectors Covered
157
Security Tests
100/100
Security Score
Explore SecurityView on GitHub
The Threat

AI agents consume content. Attackers weaponize it.

Google DeepMind identified 6 categories of "AI Agent Traps": adversarial content designed to manipulate, deceive, or compromise AI agents through the information they process.

Poisoned documents in your knowledge base
Hidden instructions in PDFs and emails
Approval fatigue attacks on human reviewers
Compositional attacks across multiple benign files
The Defense

Screen every document. Monitor every retrieval. Protect every approval.

The Membrane is an 8-stage defense pipeline modeled on biological immune systems. Layered, diverse, adaptive, and context-aware.

Cryptographic provenance on every upload
Semantic screening via Paranoid Twin LLM
Query-context re-evaluation at retrieval time
Approval fatigue defense with budget limits
Biological Defense

8 Stages. 8 Independent Defenses.

Each stage is modeled on a biological immune system component. An attacker must defeat all 8 simultaneously.

INGEST

Stage 01

Biological analog: Skin barrier

Cryptographic provenance. Every document gets an Ed25519-signed attestation of who uploaded it, when, and how.

Stage 02

All 6 Threat Categories. Covered.

Mapped against Google DeepMind's complete "AI Agent Traps" taxonomy (2026).

PerceptionSTRONG

Content Injection

Air-gap + ExternalContentGuard

4 attack vectors defended
ReasoningSTRONG

Semantic Manipulation

Paranoid Twin + source diversity

3 attack vectors defended
MemorySTRONG

Cognitive State

Provenance + 2D trust + quarantine

3 attack vectors defended
ActionSTRONG

Behavioural Control

Air-gap + sandbox + kill switch

3 attack vectors defended
Multi-agentSTRONG

Systemic

CAT architecture + fragment detection

5 attack vectors defended
Human overseerSTRONG

Human-in-the-Loop

Approval budgets + anomaly detection

4 attack vectors defended
Kerckhoffs's Principle

The code is public.
The combination is private.

Every secure system in history (AES, TLS, SSH, WireGuard) is open-source. Security comes from mathematical mechanism strength, not code secrecy. Your team can audit every line.

Public in source
Pipeline logic, pattern rules, trust scoring formula, quarantine state machine
Private per deployment
Screening prompts, detection thresholds, learned attack patterns, approval budgets
attacker's view
# What the attacker sees (public source code):
scan_text() # mechanism known
quarantine_pipeline() # mechanism known
2d_trust_scoring() # mechanism known
# What the attacker cannot see:
screening_prompt = ??? # deployment config
thresholds = ??? # deployment config
learned_patterns = ??? # per-instance
vault_content = ??? # runtime state
user_queries = ??? # runtime dynamic

What No Other Platform Has

Agent trap defense features unique to Quantum Pipes.

Open-source defense logic
RAG poisoning defense
Approval fatigue protection
Compositional fragment detection
Content provenance (Ed25519)
Query-context re-evaluation
Air-gap compatible
Post-quantum ready
QP
Others
🛡️

Your agents are only as safe
as the content they consume.

The Membrane ships with Quantum Pipes. Open-source. Air-gap ready. Post-quantum signed. 100/100 security audit.

Get StartedRead the Capsule Spec
✓ Open source (Apache 2.0)✓ Air-gap compatible✓ Post-quantum cryptography✓ 157 security tests