Real jets, synthetic threats: Airbus supported the Timber Express exercise of the German Air Force in June 2026 and trialled a new digital paradigm for testing and training. Find out how this will shape the future of air power.
In working places, generative artificial intelligence (AI) increases efficiency, accelerates processes, and assists with decision-making. However, all these advantages are accessible to those with less noble intentions, and the technology itself has high potentials to fall victim to emerging vulnerabilities as recent disclosures demonstrate. Decision-makers must therefore anticipate the risks of generative AI, prepare their organizations, and implement sustainable countermeasures.
Traditional security architectures that focus on perimeter defense, such as firewalls, are reaching their limits in the face of complex cyber threats. Effective protection requires shifting towards data-centric security (DCS) - a paradigm that focuses on protecting the data itself.
Data centric security (DCS) focuses on protecting data, regardless of where it is stored. Through encryption, context-based access controls, and monitoring, organizations can maintain control over sensitive information.
In the evolving geopolitical landscape marked by complex, hybrid threats, it is clear that artificial intelligence (AI) has already become an integral part of security-relevant digital systems within the defence industry. AI can make decisions in seconds, operate systems autonomously, and analyse vast amounts of data. However, without clear principles - such as transparency, reliability, resilience, and accountability - there is a risk of losing control.
infodas, an Airbus subsidiary specializing in cyber and IT, has been commissioned by Thales to supply IT security components for a German naval program. In total, infodas will equip six Frigates of class 126 (F 126) and three mission modules ‘ASW Lagebild’ with the SDoT (Secure Domain Transition) Security Gateway. As part of the contract, […]
As part of a strong consortium, the National Secure Cloud (NSC) is committed to ensuring the usability of cloud technologies up to the classification level DEU SECRET. Only technologies that have already been approved by the German Federal Office for Information Security (BSI) are used in the development of the NSC. In the current issue […]
The world is more interconnected than ever before. In this digital era, numerous opportunities await. However, it also harbours serious dangers, particularly due to the escalating professionalisation and commercialisation of cybercrime.
We would like to welcome you to PART II of the series 'Data Leakage 2024+ in a Nutshell: Current Cyberthreat Tactics and Beyond', which is all about AI technology. However, we are not discussing the general threat posed by AI. Rather, we would like to shed light on the relationship between AI technology and data leakage in particular, or how both subject influence each other in the near future.
We welcome you to the series Data Leakage 2024+ in a Nutshell: Current Cyberthreat Tactics and Beyond. As the name suggests, the series is dedicated to data leakage as one of the most serious threats from cyberspace. The focus of PART I in this series provides an overview of the present situation in this playing field of criminals and state actors.
There are numerous STANAGs covering a wide range of topics, including communications, logistics, intelligence, and training. Some examples include STANAG 6001, which specifies the requirements for NATO military personnel language proficiency, and STANAG 4586, which defines the standards for interoperability of military data systems.
Depuis 2006, les infrastructures critiques ont été reconnues par le Gouvernement français comme stratégiques pour la sécurité du pays[1]. Faisant le constat de l’importance de leurs activités et du nombre croissant d’attaques-cyber pesant sur elles, la France s’est depuis dotée d’une règlementation complète afin d’assurer leur sécurité et résilience. C’est l’un des premiers pays à […]
Les systèmes et données hautement sensibles sont normalement séparés d’Internet et des autres systèmes moins critiques. Cette séparation est réalisée par l’isolement de ces systèmes critiques, méthode connue sous le nom d’air gap. Bien que cette isolation protège efficacement contre tous risques d’exfiltration de données et d’attaques de logiciels malveillants, le risque de cyberattaques n’est […]
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