HiQ Insights
Where Knowledge Meets the Future
Welcome to HiQ Insights – our digital treasure trove of thought-provoking articles that illuminate the hidden corners of technology and unveil tomorrow’s possibilities! In a world where technology evolves faster than you can say “disruption,” deep insights aren’t just a luxury – they’re a necessity. HiQ Insights is your flashlight in the tech jungle, your crystal ball for digital trends, and your guide to innovation’s uncharted territories. Ready to take a digital deep dive into the future of tech? Start reading, start thinking, and start shaping tomorrow’s digital landscape. Because in HiQ’s world, knowledge isn’t just power – it’s superpower!
Our latest Insights
Nearly half of all data breaches involve a supplier. Swedish municipalities are particularly exposed
When a supplier fails, hundreds of organisations can be affected at the same time. For the public sector, the supplier chain is therefore no longer an administrative issue, but a central part of cybersecurity.
When the security routine becomes the attack itself
A call from “IT”. A request to register a new passkey. Everything looks like normal security procedure, and that is exactly why it works. Today’s social engineering attacks are increasingly not based on employees doing the wrong thing. Attackers are increasingly using legitimate tools, familiar processes, and human trust to get in. This raises a new question for every organization: can your security routines be followed straight into an attack?
Trust in AI has to be proved — four questions to ask before choosing a model
The unit cost of AI performance is falling, yet a company’s total AI bill can still rise. As usage scales into production, the goal is not to find the best model in general, but the right — and well-reasoned — solution for the task.
How much should AI really be allowed to decide?
AI governance has long been a matter of policies, risk classification and regulatory compliance. But as AI moves beyond generating content and recommendations and starts performing tasks autonomously, the playing field changes. According to Gartner, 33 percent of enterprise software applications are expected to include agentic AI by 2028, up from less than 1 percent in 2024. By the same year, at least 15 percent of day-to-day work decisions are predicted to be made autonomously by AI agents, compared with essentially none in 2024. Organisations therefore need to decide not only how AI may be used, but what it should actually be allowed to do – and when a human needs to step in.