DLP (Data Loss Prevention) technologies prevent data leakage by controlling the transfer, copying, storage and use of sensitive information.
Protecting AI services from prompt injection and data leaks in 2026 requires a comprehensive approach and integration with existing cybersec...
STIR/SHAKEN protects corporate VoIP from fraud, enhances Caller ID trust, and ensures reliable communications in modern telecom networks....
Integrating antifraud systems with billing and softswitch is crucial for telecom operators in 2027 to effectively combat fraud....
AI-driven compliance is transforming ISO/IEC 27001 and SOC 2 audits by automating evidence collection and non-compliance detection....
Implementing the Zero Trust model for legacy systems presents a critical challenge, requiring in-depth analysis of architecture and business...
The increasing number of cyberattacks on critical infrastructure necessitates a reevaluation of approaches to securing IoT and SCADA systems...
By 2026, over 85% of large enterprises will adopt hybrid cloud strategies, increasing demands for comprehensive information security systems...
Amidst growing cyber threats and tightening regulatory requirements, the Zero Trust concept is becoming critically important for corporate d...
According to analytical reports, by 2026, up to 70% of corporate data breaches will be linked to insufficiently effective employee offboardi...
The rise of hybrid and remote work models significantly complicates the task of protecting corporate content. By 2026, effective DLP strateg...
Approximately 60% of corporate data breaches in 2025 were recorded after an employee's termination, while their access formally remained act...
Traditional approaches to ERP system security are outdated and struggle to cope with modern threats. The Zero Trust concept offers a radical...
