Emerging AI-Powered Threats in IoT & OT

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1. AI-Driven Malware

Malware now uses machine learning to evade detection, adapt tactics, and mimic normal device behavior.

2. Deepfake Sensor Data

Attackers inject synthetic data into industrial sensors, tricking AI models into wrong decisions (e.g., false temperature, pressure).

3. Model Poisoning

Hackers subtly corrupt AI training data, causing the system to "learn" the wrong behaviors — dangerous in critical infrastructure.

4. Autonomous Botnets

Next-gen botnets coordinate attacks using AI logic, making them harder to detect and stop.

As defenders use AI, so do attackers — and their tools are getting smarter, faster, and stealthier.

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