Embedding AI security from the get go

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Embedding AI security from the get go

The rise of artificial intelligence is transforming industries, with projections indicating a significant increase in AI-enabled applications and services. By 2029, the user base for these technologies is expected to reach one billion, highlighting the growing importance of AI in business. However, this surge also attracts cyber criminals who are leveraging AI for more sophisticated attacks on critical data and services.

Palo Alto Networks emphasizes the need for organizations to enhance visibility, control, and governance in their AI applications. The internal risks posed by employees' lack of understanding of AI's data handling are significant, necessitating robust security measures from the outset. By embedding security into AI development, companies can better protect their data and leverage AI's benefits without compromising safety.

• AI user base expected to reach one billion by 2029.

• Cyber criminals are increasingly using AI for sophisticated attacks.

Key AI Terms Mentioned in this Article

Artificial Intelligence (AI)

AI is crucial for developing applications that can enhance cybersecurity measures.

Machine Learning (ML)

ML is leveraged by organizations to strengthen their cyber defenses.

Cybersecurity

The article discusses the importance of integrating cybersecurity measures into AI development.

Companies Mentioned in this Article

Palo Alto Networks

Palo Alto Networks is highlighted for its efforts in embedding AI into its cybersecurity products to enhance data protection.

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