Ai-Act-En — TechCom

Securing microservices with AI-enabled API Gateway policies

Fri, 20 Mar 2026 17:03:48 +0200

By 2026, the cybersecurity landscape is rapidly evolving, demanding that the enterprise sector not only adapt but proactively implement new approaches. The 2026–2027 horizon is becoming crucial for safeguarding microservice architectures. It is during this period that the increasing complexity of cyber threats and the rapid evolution of AI technologies reach a point where traditional protection methods can no longer guarantee an adequate level of resilience. Integrating AI policies into API Gateways is a key tool for controlling microservice security, enabling companies, especially in the banking sector and critical infrastructure, to effectively counter new challenges.

Ensuring AI Act compliance for telecom communication systems

Wed, 18 Mar 2026 09:03:45 +0200

In 2026, telecom operators face a dual challenge: the rapid development of AI communications and the need to adapt to new regulatory requirements, particularly the European AI Act. The urgency of this year is driven by the active implementation of the Act's provisions, which establish strict requirements for the transparency, security, and reliability of artificial intelligence systems. This demands that operators not only achieve technical readiness but also rethink their approaches to data management and cybersecurity. Ensuring compliance with the AI Act in 2026–2027 is becoming mandatory to avoid fines and preserve customer trust.

The AI Act and communication evolution: VoIP and contact center implications

Mon, 02 Mar 2026 14:46:23 +0200

National telecom operators face a challenge: the data required to launch AI projects turns out to be fragmented, inconsistent, incomplete, and lacks unified directories. Attempting to train AI models on such data yields poor results, making it impossible to implement intelligent systems to improve customer service efficiency or optimize the network.

Reason: Architectural Chaos and Lack of Data Governance

This problem arises from the historically formed OSS/BSS ecosystem, which for large telecom operators can consist of 15–25 systems of different generations. Each system (CRM, billing, network management systems, customer support systems) was created to solve its own narrow task, often without considering the need for a unified customer profile or shared directories. As a result, the exact same customer might have multiple records with different addresses, contact details, or even names, while data about services and tariffs are stored in disparate billing systems. This leads to a situation where the Customer 360 concept (a unified, comprehensive view of the customer) does not work, and the time-to-market for new tariff plans is limited by the need for manual data reconciliation between legacy systems.