The AI paradox: How tomorrow's cutting-edge tools can become dangerous cyber threats (and what to do to prepare)

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AI is revolutionizing business operations, but it also brings significant cybersecurity challenges. The emergence of agentic AI, which can operate autonomously, raises concerns about data security and potential misuse. As organizations increasingly adopt these technologies, understanding the associated risks becomes crucial for maintaining a secure environment.

Agentic AI's ability to access vast amounts of data makes it a prime target for cybercriminals, leading to potential data breaches and financial losses. Implementing robust cybersecurity strategies, such as maximizing visibility and employing the principle of least privilege, is essential to mitigate these risks. As AI continues to evolve, businesses must adapt their security measures to keep pace with technological advancements.

• Agentic AI can automate tasks with minimal human input.

• Cybersecurity risks associated with AI are rapidly increasing.

• Gartner predicts one-third of generative AI interactions will use agentic AI by 2028.

Key AI Terms Mentioned in this Article

Agentic AI

Agentic AI refers to autonomous AI models that can perform tasks without human intervention.

Data Poisoning

Data poisoning involves corrupting an AI model's training data to manipulate its outputs.

Principle of Least Privilege

This principle restricts access rights for users to the bare minimum necessary for their tasks.

Companies Mentioned in this Article

Gartner

Gartner is a research and advisory company that provides insights on technology trends, including AI adoption forecasts.

ReHack

ReHack focuses on technology and cybersecurity, providing insights into the implications of AI advancements.

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