Our R&D Processes

We leverage AI and machine learning in our R&D efforts to enhance our threat detection and prediction capabilities. These technologies analyze data patterns to rapidly and accurately detect anomalies and threats on the network, and we aim to produce more effective and dynamic solutions to cybersecurity threats using AI and ML tools.

We are working on a security model based on the Zero Trust principle. This model ensures continuous verification of identities, devices, and applications across both internal and external networks. Our R&D process integrates this principle to reduce the attack surface and minimize security vulnerabilities.

We incorporate the DevSecOps approach into our R&D processes, prioritizing security in the software development lifecycle. By automating security tests and compliance checks, we aim to detect and resolve security vulnerabilities at early stages of the development process.

With SDP technology, we aim to provide secure and customized connections independent of users' locations. We are working on R&D projects that enhance security for remote and mobile users by changing the traditional network perimeter and reducing the attack surface.

We conduct R&D processes to develop Identity and Access Management (IAM) solutions. By improving security approaches based on user, device, and application identities, we aim to strengthen access controls and authentication processes.

• Endpoint Detection and Response (EDR): We enhance our ability to respond quickly to cyber attacks by monitoring activities occurring at endpoints. With EDR systems, we can automatically detect and respond to threats, allowing us to effectively intervene in security incidents.
• Extended Detection and Response (XDR): We enhance our threat detection and response capabilities by integrating networks, clouds, endpoints, and other security layers with XDR solutions. This technology allows us to manage cybersecurity more effectively by addressing multi-layered attacks from a broader perspective.

We develop specialized security solutions for cloud environments. By providing visibility, control, and protection for cloud-based assets and applications, we aim to enhance cloud security.

With the increasing use of container technologies, we focus on container security. We aim to enhance application security by developing solutions that provide visibility, risk management, and real-time protection in container environments.

Through our R&D efforts on SD-WAN technology, we are developing the ability to centrally manage and optimize network connections. With SD-WAN solutions, we aim to improve network performance, reduce costs, and enhance network security. SD-WAN not only secures network connections but also improves application performance.

Automated Security Processes: We automate the processes of detecting, classifying, and responding to security incidents. This automation increases the efficiency of security teams, shortening response times and enabling faster interventions to incidents.

Integrated Security Operations: SOAR platforms provide centralized management by integrating various security tools and data. This integration enhances the effectiveness of responses to security incidents and improves the coordination of security operations.

IoT Security Management: We offer specialized solutions for ensuring the security of IoT devices. These solutions cover device authentication, monitoring, and overall security.

ICS Cybersecurity: We develop solutions to ensure the security of industrial control systems and SCADA networks. Our goal is to provide effective protection against cyber threats in critical infrastructure.

Quantum-Resistant Encryption: We are working on next-generation encryption methods that are resilient to attempts by quantum computers to break encryption systems. This prepares us for future cyber threats.

• Real-Time Threat Monitoring: With SIEM solutions, we monitor all activities on the network in real-time and instantly detect threats. This provides a faster and more effective security response.
• Big Data Analytics: SIEM systems use big data analytics to identify threats and correlate security incidents. These analyses allow us to evaluate security status more comprehensively.

Our R&D efforts on NAC solutions continuously develop to ensure the security of all devices and users within the network. NAC uses authentication, authorization, and auditing methods to control and manage access to network resources. Our R&D process aims to develop advanced NAC solutions to enhance the security of devices within the network and minimize potential threats.

These R&D processes are conducted in coordination with our network and cybersecurity units, constantly keeping up with the latest technologies and developing innovative solutions to enhance network and system security. Each topic is carefully addressed to meet the most current trends and needs in the field of network and cybersecurity.