AI security: preventing data leaks and prompt injection in services
Protecting AI services from prompt injection and data leaks in 2026 requires a comprehensive approach and integration with existing cybersec…
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…
The rise of hybrid and remote work models significantly complicates the task of protecting corporate content. By 2026, effective DLP strateg…
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…
By 2026, over 85% of large enterprises will adopt hybrid cloud strategies, increasing demands for comprehensive information security systems…
According to analytical reports, by 2026, up to 70% of corporate data breaches will be linked to insufficiently effective employee offboardi…
Traditional approaches to ERP system security are outdated and struggle to cope with modern threats. The Zero Trust concept offers a radical…
Approximately 60% of corporate data breaches in 2025 were recorded after an employee's termination, while their access formally remained act…
Amidst growing cyber threats and tightening regulatory requirements, the Zero Trust concept is becoming critically important for corporate d…
In today's threat landscape, where security perimeters are blurred, traditional infrastructure protection approaches are insufficient. The Z…