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 with existing cybersecurity tools.
INSIGHTS & PRACTICE
Practical guides to data, integrations, enterprise platforms and applied AI.
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Protecting AI services from prompt injection and data leaks in 2026 requires a comprehensive approach and integration with existing cybersecurity tools.
AI-driven compliance is transforming ISO/IEC 27001 and SOC 2 audits by automating evidence collection and non-compliance detection.
The rise of hybrid and remote work models significantly complicates the task of protecting corporate content. By 2026, effective DLP strategies must adapt to these changes, focusing on preventative measures and automation.
Approximately 60% of corporate data breaches in 2025 were recorded after an employee's termination, while their access formally remained active. Insider threats continue to be one of the most complex cybersecurity challenges.
Traditional approaches to ERP system security are outdated and struggle to cope with modern threats. The Zero Trust concept offers a radical shift, requiring continuous verification of every user and device, regardless of their location.