US EditionAI Security Guide: Protecting models, data, and systems from emerging threats
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5 Articles
Artificial intelligence platforms (AIs) provide more opportunities to perform more tasks and in a more innovative, efficient and productive way.They also have challenges in the area of security and data protection of individuals and companies.It is clear that they should not be shared, on social networks or on AI platforms, the accounts and passwords or passwords of emails, web services, online stores or banks. Neither private and intimate photo…
What to Know about AI-Powered Cyber Threats - And How to Defend Against Them
AI powered cyber threats are categorically different from other types of cybersecurity concerns. Historically, cybersecurity threats fell into two main categories: highly targeted attacks typically launched by advanced persistent threats (APTs) or nation-states and broad, automated attacks – often nicknamed “spray and pray” – that exploited common vulnerabilities indiscriminately. As it blends automation and adaptability, generative AI introduce…
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AI Security Guide: Protecting models, data, and systems from emerging threats
What is AI Security? AI security is where traditional cybersecurity meets the chaotic brilliance of machine learning. It’s the discipline focused on protecting AI systems—not just the code, but the training data, model logic, and output—from manipulation, theft, and misuse. Because these systems learn from data, not just logic, they open up fresh attack surfaces like data poisoning, model inversion, and prompt injection. Keeping AI safe means se…
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