AI Access Security – Palo Alto Networks

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01

Data exposure risks

GenAI apps can inadvertently expose sensitive company data, such as intellectual property, trade secrets, source code, financial records and customer information, leading to significant business and compliance risks.

02

Security posture challenges

The proliferation of GenAI apps across organizations results in a lack of visibility, making it difficult to assess, categorize and monitor usage effectively. This impacts overall security posture and risk management.

03

Employee risks and policy issues

The absence of clear GenAI usage policies can lead to employee-related issues, including dissatisfaction, reduced productivity and the potential for employees to circumvent bans or restrictions on GenAI app usage.

04

Expanding AI attack vectors

The widespread availability of public GenAI tools creates new avenues for cybercriminals to exploit, from issuing malicious prompts to accessing and misusing intellectual property, spreading malware and compromising cybersecurity defenses.

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