The consequences are considerable, as a study by Bitdefender shows. The analysis of around 700,000 security incidents shows that 84% of attacks are already attributable to living-off-the-land (LOTL) techniques. Instead of using traditional malware, attackers use legitimate programs and system tools within their victims' IT environments. Malicious behavior can hardly be distinguished from normal user behavior. For companies, this means that security strategies that rely primarily on detection and reaction are reaching their limits. Prevention-oriented approaches are urgently needed - systems must actively reduce attack surfaces, precisely control access rights and fend off threats before they even reach the detection stage.

The attack surface becomes the decisive arena

For years, IT security relied on rapid detection and reaction. But as soon as attackers are no longer dependent on malware, these concepts fall short. LOTL techniques allow hackers to move around the network unnoticed, extend rights and switch laterally between systems without triggering an alarm. Even modern systems such as Endpoint Detection and Response (EDR) or Extended Detection and Response (XDR) reach their limits here.

EDR and XDR are now widely used and are increasingly considered standard. However, attackers are automating their reconnaissance, exploiting newly discovered vulnerabilities within hours and using tools such as PowerShell, WMIC or Certutil to imitate trustworthy behavior. As there are often no classic malware traces, many false alarms are generated. Security teams are faced with the challenge of distinguishing genuine attacks from normal activities.

Artificial intelligence as preventive protection

Martin Zugec, Technical Solutions Director at Bitdefender, explains how companies can effectively prevent cyber attacks. © Bitdefender

A key trend for 2026 is the use of AI-supported, adaptive prevention systems. These continuously monitor real user behavior and dynamically adjust access rights. For example, access to critical tools is blocked for users who do not need them, while legitimate use remains permitted. At the same time, the AI recognizes malicious patterns and automatically blocks risky actions - at machine speed, far faster than human analysts could react. The result: a security architecture that is constantly adapting. Attack paths are closed, lateral movements are made more difficult and privileged access is controlled. Companies can neutralize threats at an early stage, even before they pass through the detection systems.

Proactive prevention becomes crucial

Detection and response remain essential, but preventive technologies are becoming increasingly important. They reduce unnecessary tools and privileges, prevent recurring attack patterns and minimize the flood of alarms. Security teams can focus on relevant threats while systems continuously secure the IT environment.

Companies that rely solely on reactive measures are accepting unnecessary risks. On the other hand, those who reduce the attack surfaces, consistently control access rights and use adaptive prevention will create the basis for resilient IT in 2026. Prevention will not just be a protection mechanism, but a strategic tool for staying one step ahead of threats.