Information Security
AI security platform: protecting AI services from prompt injection and data leaks
Protecting AI services from prompt injection and data leaks in 2026 requires a comprehensive approach and integration wi...
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DLP
Telecom
STIR/SHAKEN and Caller ID trust for corporate VoIP
STIR/SHAKEN protects corporate VoIP from fraud, enhances Caller ID trust, and ensures reliable communications in modern ...
Telecom
Telecom fraud in 2027: integrating antifraud with billing and softswitch
Integrating antifraud systems with billing and softswitch is crucial for telecom operators in 2027 to effectively combat...
Information Security
AI drives compliance audit automation
AI-driven compliance is transforming ISO/IEC 27001 and SOC 2 audits by automating evidence collection and non-compliance...
Information Security
Zero Trust for legacy systems: migration or adaptation?
Implementing the Zero Trust model for legacy systems presents a critical challenge, requiring in-depth analysis of archi...
Information Security
Protecting critical infrastructure from emerging IoT/SCADA threats
The increasing number of cyberattacks on critical infrastructure necessitates a reevaluation of approaches to securing I...
Cloud & Infrastructure
Cybersecurity for hybrid infrastructure: challenges and solutions
By 2026, over 85% of large enterprises will adopt hybrid cloud strategies, increasing demands for comprehensive informat...
Information Security
DLP for AI Systems: The New Cybersecurity Reality of 2026
By 2026, over 70% of new AI systems will experience data breaches due to inadequate Data Loss Prevention (DLP) integrati...
Information Security
Zero Trust for legacy systems: adaptation or full replacement by 2026?
Amidst growing cyber threats and tightening regulatory requirements, the Zero Trust concept is becoming critically impor...