IoT & AI Security Services

As IoT and AI transform industries, they introduce unprecedented attack surfaces: unsecured sensors feeding poisoned data, adversarial AI model manipulation, and hijacked smart devices becoming breach gateways. NCRYPTO’s IoT & AI Security Services provide end-to-end protection for connected ecosystems—because a single vulnerable thermostat shouldn’t compromise your entire network.

Our IoT Security Framework

1. Device Hardening

• Hardware Security:
  • Secure boot implementation (TPM/HSM)
  • Side-channel attack resistance (power analysis glitching)
• Firmware Protection:
  • Binary analysis for backdoors
  • OTA update signing (prevent malicious firmware pushes)

Example: Discovered a Chinese-manufactured IP camera with hardcoded SSH keys in firmware.

2. Network & Protocol Security

• Wireless Protocol Audits:
  • BLE hijacking simulations
  • Zigbee encryption cracking
• Network Segmentation:
  • Isolate IoT VLANs with micro-firewalls
  • Detect rogue devices via passive fingerprinting

3. Edge-to-Cloud Protection

• API Security: Validate MQTT/CoAP message integrity

• Data Pipeline Encryption: Protect sensor-to-datacenter flows

• Anomaly Detection: Spot compromised devices via:

  # AI model analyzing device behavior
  if (device.temp_sensor > 200°C) and (device.power_usage == 0):
      alert("Impossible physics - likely spoofed") 
  

Our AI Security Framework

1. Adversarial AI Testing

• Model Poisoning: Inject malicious training data
• Evasion Attacks: Fool computer vision with adversarial patches
• API Exploitation: Hijack model endpoints (e.g., spam filter bypass)

2. ML Supply Chain Security

• Dataset Provenance: Verify training data sources
• Model Signing: Cryptographic integrity checks (Sigstore)
• Dependency Scanning: Vulnerable Python libraries (e.g., pickle exploits)

3. Compliance for AI Systems

• EU AI Act requirements mapping
• NIST AI RMF implementation
• Bias/Fairness testing (for HR/financial models)

Technical Capabilities

Client Success Stories

Smart City Surveillance

Threat: Hackers could spoof traffic sensor data to cause accidents.
Solution: Deployed hardware-rooted device identity + anomaly detection.
Result: Zero spoofing incidents in 2 years.

Healthcare AI Diagnostic

Threat: Adversarial images fooled cancer detection model.
Solution: Retrained model with defensive distillation.
Result: 99.8% attack detection rate.

[See More Case Studies]

Why Choose NCRYPTO?

1. Cross-Disciplinary Team

• IoT: Former embedded systems hackers
• AI: PhDs in adversarial machine learning
• Compliance: Ex-FDA/GDPR auditors

2. Attack Simulation Labs

• Physical device tampering lab
• Live adversarial AI testing environment

3. Compliance Accelerators

• Pre-built templates for:
  • FDA Premarket Cyber Guidance (Medical IoT)
  • Automotive UN R155 (Vehicle Cybersecurity)