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The impact of AI on Cybersecurity

Protecting sensitive data & intellectual property

20.0%

12.0%

10.7%

10.0%

8.0%

Worries about accuracy & reliability of outcomes

Becoming too dependent, impact on critical thinking

Replacement of jobs

Lack of understanding/
requiring new skillsets

14.0%

Very advanced

2.7%

No formal practices

60.0%

Good

3.3%

Just getting started

20.0%

Not very good

In most organisations, the use of AI is still in its infancy. The focus on protecting sensitive data and concerns about the reliability of the output (“garbage in, garbage out”) are justified. Businesses need proper data management techniques to ensure privacy, security, reliability and compliance; Insight can help set up these practices.

36%

Strengthening security measures

32%

Ensuring data privacy & security

29%

Managing data across diverse systems

Keep AI systems updated

39.3%

Driven by the advance of Gen AI, businesses can no longer view digitisation as something nice to have. Both customers and employees expect them to bridge the gap between the physical and digital world.

AI & Cybersecurity Trends

in Swedish organisations

Information Technology

23%

14%

13%

11%

9%

Manufacturing

Public Sector

Healthcare

Engineering

53%

The rest do not have an IT role but have a good understanding or are well-informed of the IT policy in the organisation.

of respondents have an IT role.

Summary – key takeaways:

The survey asked 150 Swedish respondents about their experiences with AI & cybersecurity. Their roles range from IT staff to middle management & senior management/executives.

Top 5 sectors represented in survey:

To find out how organisations in Sweden are dealing with this trend and where they stand in terms of cybersecurity, Insight and iVox conducted a comprehensive survey.

77% use AI tools, but only 10% have integrated them into 
most processes