AI-powered computers promise a major productivity boost, but they also introduce a new layer of cyber threats.
AI isn’t just in the cloud anymore. AI-enabled PCs are entering the workplace fast, with nearly 114 million units expected to ship this year. These next-gen devices are built with onboard AI chips (NPUs) that power tools like Microsoft Copilot, real-time automation, and smart analytics, all without needing constant cloud access.
These machines will revolutionize how work gets done. But if your organization isn’t prepared, they could also introduce serious vulnerabilities.
Traditional endpoint protection may not be equipped to handle the risks AI PCs bring. Here’s what to watch for and how to secure your devices from day one.
New PCs, New Risks
Adopting AI-enabled PCs early can give your team a major edge, but only if you’re ready for the security challenges that come with them. Without the right protections, these devices could create vulnerabilities that attackers are already looking to exploit.
Here are the top security concerns business leaders should be aware of:
- Model Inversion & Data Leakage
On-device AI can unintentionally “memorize” sensitive data. Hackers may use model inversion techniques to reconstruct and extract private or proprietary information.
- Data Poisoning
If attackers gain access to the training pipeline or input streams, they can feed in malicious data to manipulate the AI’s responses or introduce bias.
- Unsecured Plugins & AI Tools
Many third-party AI apps and plugins are not built with security in mind. Without oversight, they can introduce supply chain risks or grant excessive permissions to sensitive systems.
- Firmware-Level Attacks
AI chips (NPUs) operate below the operating system level, making them harder to monitor. Traditional endpoint tools may miss threats at the firmware layer, opening a new attack surface.
Getting Ready for AI
As AI-capable hardware becomes more common in the workplace, it’s essential to align your cybersecurity practices with the new risks these devices bring. Here’s how ISM recommends staying protected:
- Harden your endpoints at the time of deployment—disable unused features, enforce least privilege, and enroll devices in a management platform.
- Apply strict access controls and patching policies across all devices, including firmware updates for AI chips.
- Review vendors and AI-enabled software for compliance, data handling policies, and permission scopes.
- Train users on the risks of AI misuse, deepfakes, and social engineering that can arise from new workplace tools.
- Update your cybersecurity policy to include governance for on-device AI use, plugin approval, and local model behavior.
Preparation Matters
As AI adoption accelerates, many businesses are unknowingly introducing unmonitored, unregulated AI tools into their everyday workflows. Without updated security policies and controls, this can lead to:
- Data breaches
- Operational disruption
- Long-term compliance risks
ISM is here to help you secure your AI-powered environment, from device rollout and vendor review to ongoing monitoring, employee training, and endpoint protection.
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