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How Does AI Help Detect Modern Cyber Threats Such as Deepfakes or Fake Websites?

Get the Latest on AI Security Detection from the Experts

Artificial intelligence can identify patterns and behaviors that humans or legacy tools might miss. By analyzing data from email, video, and Web traffic in real time, AI models can flag suspicious images, voice clones, or spoofed sites before users engage with them. Hardware acceleration with specialized chips like TPUs or NPUs enables this analysis to run quickly on the device, reducing delays and bandwidth usage.

AI-powered cybersecurity tools are increasingly embedded within endpoint protection, browsers, and email gateways, helping organizations detect threats closer to the source. When paired with human oversight and model governance practices, these systems can refine detection accuracy and reduce false positives over time. Combining AI-driven detection with browser isolation and user training creates an adaptive defense that evolves with each new type of attack.
AI Security Detection

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Endpoint Security: AI and Hybrid Work
Endpoint Security: AI and Hybrid Work
AI-driven endpoint security is evolving to counter sophisticated threats in hybrid work environments. Organizations must protect diverse devices across office and remote settings. Layered defenses, including hardware safeguards, Zero Trust, and XDR, enhance visibility, unify protection, and leverage AI detection to consistently secure endpoints against emerging cyber risks.

Protect Your Employees, Devices, and End Users
Protect Your Employees, Devices, and End Users
Organizations are being targeted by increasingly advanced threats. Whenever the organization fails to effectively monitor employees, devices, and end users, the business is at risk. This sort of monitoring is a huge job, but when done incorrectly, your organization could lose data and money. Learn how managed security services can help.