The introduction of AI in companies is often still hesitant, and this reluctance inadvertently opens the door to a new type of shadow IT.
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The Role of Data Protection in AI Governance
Organisations today are allocating substantial budgets to AI without necessarily understanding how to govern it or where to begin. To reduce compliance costs and avoid reinventing the wheel, the privacy function can play a central role ...
IT Security Risk: Smart Clothing
Techwear and smart fashion combine fashion with advanced technology and connectivity - including AI.
Secure Implementation of the AI Regulation
The EU AI Act came into force in August, requiring affected companies to comply with the new regulations on time or face potential fines.
Cyber Attacks are Causing More and More Damage to Companies
KPMG study: phishing, attacks on cloud services and attacks via data leaks are the most common crimes.
The Enemy from Within
The human factor is the biggest risk to any organization, whether as an external adversary or an internal threat, says Michael Veit of Sophos.
Gartner: One-third of Enterprises Use or Implement Tools for AI Application Security
Enterprises want to mitigate associated risks of generative AI (GenAI).
G Data Study: Security Risk Employees
Companies usually limit training and education to IT employees. One consequence, according to G Data, is insufficient security awareness among many employees.
TikTok, WhatsApp, Metaverse: Ugh. ChatGPT: Yay.
Gigamon study shows that companies are sceptical about some tools in terms of security - but not about the AI chatbot ChatGPT.
Making AI Regulation Ambitious and Future-Proof
Draft of the AI Act must be improved with regard to the classification of high-risk AI systems, says Johannes Kröhnert of the TÜV Association.
Interview: CISOs And The Human Factor
The role and responsibilities of CISOs are changing, but is the direction right? We asked Tyler Baker of Bitdefender.
One in 10 Large Companies Has Mature Zero Trust Program in 2026
Gartner: Zero trust is an important strategy for reducing risk, however few companies have actually implemented zero trust to date.
Analytics-Supported Credit Risk Transformation
Banking study by SAS and GARP: Prerequisite for "phygital" models is meaningful data analytics, machine learning and automation.