AI and RPA: How data and risks define automation success
Integrating AI into RPA is transforming business processes, but success hinges on data readiness and effective risk management. Prepare your data.
INSIGHTS & PRACTICE
Governance, risk and controls
Practical guides to business-process automation: from the first assessment to measurable results.
72 publications
API Gateway with AI policies for microservice security
Integrating AI policies into API Gateways is critical for proactive microservice protection in 2027, countering cyber threats and AI-related risks.
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.
Edge AI in IoT: critical infrastructure security and efficiency by 2027
Integrating Edge AI with 5G and data security measures is becoming the foundation for protecting critical infrastructure by 2027, requiring systematic data management.
Optimizing multi-cloud costs with AI and NIS2 compliance
AI-driven FinOps optimizes multi-cloud spending while ensuring NIS2 compliance. Effective cloud resource management under new regulations.
AI drives compliance audit automation
AI-driven compliance is transforming ISO/IEC 27001 and SOC 2 audits by automating evidence collection and non-compliance detection.
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 architecture and business processes. The key question remains the choice between full migration and adapting existing solutions.
Cybersecurity for hybrid infrastructure: challenges and solutions
By 2026, over 85% of large enterprises will adopt hybrid cloud strategies, increasing demands for comprehensive information security systems (ISS). This article examines key challenges and effective approaches to cybersecurity in complex hybrid environments.
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) integration, necessitating a reevaluation of sensitive information protection in the age of artificial intelligence.
Data security in a multicloud world
By 2026, over 80% of large enterprises will adopt hybrid and multicloud strategies, necessitating a reevaluation of approaches to comprehensive information security systems (CIS). This article examines the key aspects of building CIS for complex infrastructures.
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 important for corporate data protection. This issue is particularly acute for legacy systems, which form the foundation of many organizations.