ZEKI
for Cybersecurity
Cyber defence powered by AI
Artificial intelligence can make a significant contribution to the prediction and early detection of cyber attacks and the development of coordinated defence strategies for preventive cyber security. At ZEKI, you can see what these technologies look like and what benefits they can bring to corporate networks and campuses.
The increasing digitisation of all areas of life requires digital systems to be particularly reliable and secure. This is not only about encryption, but also about the early detection of attacks.
Focus areas
Digitalisation requires cyber security measures to protect IT infrastructures and for all phases of a security process (prediction, prevention, detection and response). This protection must not be purely reactive, but proactive, reacting to changing threat situations and adapting protective measures or initiating countermeasures at an early stage. Artificial intelligence, and in particular machine learning, offers the possibility of integrating self-protection measures into the IT infrastructure and thus being able to react automatically to threats and attacks at any time.
Threat prediction and prevention
Threat prediction informs and prevents users about the current situation and possible future risk events. Today, the digitisation of assets increases the amount of data generated by our daily routines, making it difficult to identify security threats. Our approach is to continuously analyse data to detect and prevent unwanted actions.
Attak – detection and analysis
The modern threat landscape for IT systems requires new approaches to detecting external intruders and insiders. We focus on detecting unwanted external data flows, often caused by insider attacks or APTs (Advanced Persistent Threats). We develop self-protection mechanisms for autonomous systems to defend against such attacks.
Attack and surrounding simulation
High levels of digitisation increase IT vulnerabilities, including advanced persistent threat (APT) cyber espionage. Security solutions need to be tested for applicability, performance and efficiency. Testing in real-world environments is not always possible. We focus on simulating IT environments, including real IT users, to provide realistic conditions.
