The What

THE WHAT

Understanding AI Information Security, Cybersecurity, and IT Security

As AI integrates deeply into business operations, protecting data and systems has never been more critical. Terms like “information Security,” “cybersecurity,” and “IT Security” are often used interchangeably, but they serve distinct purposes, especially when it comes to AI systems.

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AI Information Security (InfoSec)

InfoSec involves processes and tools designed to protect sensitive business information that AI systems process, analyze, and store. From training data to predictive models, InfoSec ensures that all digital or physical data forms remain secure, preventing unauthorized access, disclosure, or alteration.

AI Cybersecurity

While InfoSec is part of the broader cybersecurity landscape, cybersecurity focuses on shielding AI systems from cyber threats. With AI increasingly targeted by sophisticated attacks, this involves securing machine learning models, protecting data pipelines, and defending against adversarial inputs that could compromise AI decision-making.

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AI IT Security

IT Security for AI centers on securing the digital infrastructure of AI systems, including computer networks and cloud environments. This means protecting AI-driven applications’ integrity, availability, and confidentiality through technical measures like encryption, secure APIs, and network security protocols.

Though these areas often overlap, each plays a crucial role in building an AI security framework. Understanding these distinctions is essential for developing strategies that protect data, algorithms, and models powering the future of AI.