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Home » AI » Shadow AI vs Managed AI: Kaspersky reviews the use of neural networks for work in Egypt
AI

Shadow AI vs Managed AI: Kaspersky reviews the use of neural networks for work in Egypt

News DeskBy News DeskOctober 22, 2025Updated:October 22, 2025No Comments4 Mins Read
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Cairo: TECHz – News Desk

Recent Kaspersky research entitled “Cybersecurity in the workplace: Employee knowledge and behavior” has found that 87,5% of professionals surveyed in Egypt say that they utilize Artificial Intelligence (AI) tools for work tasks. However, only 46,5%
have received training on the cybersecurity aspects of using neural networks, which is one of the critical elements of protection against AI-related risks ranging from data leaks to prompt injections.

The vast majority of survey respondents in Egypt (90%) said that they understand what the term “generative artificial intelligence” means, and for many employees this knowledge is no longer just theoretical: AI tools have become part of their every workday. Overall, 87% of respondents use AI tools for work: most often – to write or edit texts (71%) and work e-mails (53%), to create images or videos with the help of neural networks (54%), and for data analytics (54%).

The survey uncovered a serious gap in employee preparedness for AI risks. (17%) of professionals reported receiving no AI-related training. Among those who had courses, 62% said the focus was on how to effectively use AI tools and create prompts; while only 46% received guidance on the cybersecurity aspect of AI use.

While AI tools, which help automate everyday tasks, are becoming ubiquitous in many organizations, they often remain part of ‘shadow IT’, when employees use them without corporate guidance. 77% of respondents said generative artificial intelligence tools are permitted at their work, 20% acknowledged these tools are not allowed, while 2% were unsure.

To make employee use of AI more clear and secure, organizations should implement a company-wide policy regarding this aspect. This policy can prohibit AI use in specific functions and for certain types of data, regulate which AI tools are provided to employees, and allow only tools from the approved list. The policy should be formally documented, and employees should receive proper training.

After setting a list of hygiene measures and restrictions, companies should monitor AI usage,
identify popular services, and use this information to plan future actions and refine their security measures.
“When implementing AI across a company, both complete bans and unrestricted use are typically ineffective. A more effective strategy is to adopt a balanced policy that grants varying levels of AI access based on the sensitivity of data handled by each
department.

When supported by proper training, this approach promotes both flexibility and efficiency, while maintaining strong security standards,” comments
Rashed Al Momani, General Manager for the Middle East at Kaspersky.

To secure corporate AI use Kaspersky recommends organizations to:

• Train employees on responsible AI usage. Courses on AI security from
Kaspersky Automated Security Awareness Platform can help with adding
specialized training to companies’ educational programmes.
• Provide IT specialists with relevant knowledge on exploitation techniques and
practical defense strategies. The ‘Large Language Models Security’ training,
part of the Kaspersky Cybersecurity Training portfolio, can enhance both the
professional development and the overall cybersecurity of an organization.
• Ensure all employees have a cybersecurity solution installed on all their work
and personal devices used to access business data. Kaspersky Next products
protect against a range of threats including phishing or installing a fake AI
tool, particularly given the growing trend of scammers embedding infostealers
in deceptive AI applications.
•Conduct regular surveys to monitor how frequently AI is being used and for
which tasks. Using this information, assess both the benefits and risks of AI
use to adjust company policy.
• Use a specialized AI proxy that cleans queries on-the-fly by removing specific
types of sensitive data (such as names or customer IDs), and uses role-based
access control to block inappropriate use cases.
• Create a full-fledged policy that addresses the spectrum of relevant risks.

Kaspersky’s guidelines for securely implementing AI systems can be of help.

 

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