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Artificial intelligencehas rapidly become a cornerstone of modern business, driving innovation and efficiency across industries.
As a result, CISOs are facing newcybersecuritychallenges.
Traditional security practices, designed for human users and conventional machines, fall short when applied to AI.
Offensive Research Evangelist at CyberArk Labs.
AI: More than just machines
Every single key in ofidentityhas a different role and capability.
Humans usually know how to best protect theirpasswords.
AI entities, including chatbots, are difficult to classify with regard to cybersecurity.
So, AI is neither a human identity nor a machine identity; it sits in a unique position.
It combines human-guided learning with machine autonomy and needs access to other systems to work.
However, it lacks the judgment to set limits and prevent sharing confidential information.
However, the rapid investment in AI often outpaces identitysecuritymeasures.
Companies dont always understand the risks posed by AI.
Compromises in AI could lead to the exposure of intellectual property, financial information, and other sensitive data.
Constantly updated with new trainingdatafrom within a company, LLMs quickly become prime targets for attackers once deployed.
AI can also be used to perform more complex cyberattacks.
So, whats the sensible next step?
The use of AI in business presents both great opportunities and unprecedented security challenges.
We’ve featured the best AI phone.
The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
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