Vertical 16 — Mobile AI Agent Security

AI Shield Mobile

The app is the surface. The agent is protected.
3 modules. 433 tests. Defensive counterpart to NIGHTFALL SIGNAL.
3
Modules
433
Tests
16
Vertical
8
Attack Vectors Covered

Protection Modules

Three Layers of Mobile AI Defence

M200, M201, and M202 defend mobile AI agents across three distinct attack surfaces — runtime, API, and session. Each module maps directly to NIGHTFALL SIGNAL attack vectors.

M200
Mobile AI Agent Runtime Monitor
Port :8200  |  FastAPI + SQLite

Runtime behavioural monitoring for mobile AI agents. Detects anomalous agent behaviour, push notification injection, BLE-based injection attacks, and AI model extraction attempts during live operation.

116 tests SIGNAL INTERCEPT + INJECT
  • Real-time agent behaviour scoring
  • Push notification payload inspection
  • BLE channel anomaly detection
  • AI model fingerprint drift alerting
  • SIEM export: Splunk HEC, Sentinel CEF, QRadar LEEF
M201
Mobile API Integrity Guard
Port :8201  |  FastAPI + SQLite

API call integrity validation for mobile AI agents. Intercepts impersonation attempts, validates identity tokens, detects spoofed API endpoints, and blocks credential harvesting at the mobile API layer.

144 tests SIGNAL IMPERSONATE
  • API call chain integrity verification
  • Identity token validation + replay detection
  • Endpoint spoofing pattern matching
  • Credential harvesting attempt blocking
  • SIEM export: Splunk HEC, Sentinel CEF, QRadar LEEF
M202
Mobile Session Integrity Monitor
Port :8202  |  FastAPI + SQLite

Session-layer protection against mobile AI agent drainage attacks. Monitors session tokens, detects in-session data exfiltration, tracks accessibility service abuse, and alerts on resource drain patterns consistent with SIGNAL DRAIN vectors.

173 tests SIGNAL DRAIN
  • Session token lifecycle monitoring
  • In-session exfiltration detection
  • Accessibility service abuse alerting
  • Resource drain pattern analysis
  • SIEM export: Splunk HEC, Sentinel CEF, QRadar LEEF

Attack Surface Coverage

SIGNAL Attack Vector Mapping

AI Shield Mobile is the direct defensive counterpart to NIGHTFALL SIGNAL — each module defends the specific attack surface that SIGNAL exploits.

Module Defends Against SIGNAL Subsystem Attack Vector
M200 Runtime agent behaviour injection SIGNAL INTERCEPT + INJECT BLE injection, push notification abuse, model extraction
M200 Intent-based agent manipulation SIGNAL INJECT (Intent) Android intent hijacking, WebView injection
M201 Agent identity spoofing SIGNAL IMPERSONATE API endpoint spoofing, credential harvesting, token replay
M202 Session resource drainage SIGNAL DRAIN Accessibility service abuse, session exfiltration, AI capability drain
M200+M201 5G NR swarm coordination SIGNAL SWARM5G Multi-agent 5G swarm attack detection

Deployment

Integration

Each module deploys as an independent FastAPI microservice. Standard AI Shield deployment pattern — Docker container, SQLite storage, SIEM exporters included.

# Deploy AI Shield Mobile — all three modules git clone https://github.com/RichardBarron27/red-specter-ai-shield-mobile cd red-specter-ai-shield-mobile # M200 — Runtime Monitor (port 8200) cd src/m200shield && pip install -e . && m200 run # M201 — API Integrity Guard (port 8201) cd src/m201shield && pip install -e . && m201 run # M202 — Session Integrity Monitor (port 8202) cd src/m202shield && pip install -e . && m202 run # Health checks curl http://localhost:8200/health # M200 curl http://localhost:8201/health # M201 curl http://localhost:8202/health # M202 # Run full test suite — 433 tests pytest tests/ -v

AI Shield

Full Runtime Defence Stack

AI Shield Mobile is one vertical in the broader AI Shield defensive platform — 114 modules, 17 verticals, 61,685 tests across the full Red Specter ecosystem.

AI Shield Command AI Shield Space NIGHTFALL Framework Red Specter