Platform engineering for hybrid Kubernetes: cost and security optimization
Platform engineering optimizes Kubernetes in hybrid infrastructures, ensuring cost predictability, enhanced security, and operational efficiency.
INSIGHTS & PRACTICE
SL Global Service
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17 publications
Platform engineering and IDP: optimizing cloud and security for banks
Platform Engineering and IDP are transforming development, optimizing cloud costs, and enhancing security amidst increasing infrastructure complexity.
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.
FinOps and multi-cloud strategies: Controlling IT budgets in 2026
Multi-cloud strategies without consistent FinOps transform cloud budgets into uncontrolled expenses where growth doesn't align with business value.
AI у FinOps: Optimizing cloud spending in multi-cloud environments
AI in FinOps aids in forecasting and controlling cloud expenditure, ensuring budget transparency and resource management discipline.
How AI is transforming API Gateways for enhanced security and microservices scaling
Is new system integration taking months? AI in API Gateways ensures microservices security and scalability, reducing time-to-market.
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.
AI-driven FinOps: The future of multi-cloud cost management by 2026
By 2026, over 80% of large enterprises utilizing multi-cloud infrastructures will integrate artificial intelligence into their FinOps strategies to optimize costs and enhance efficiency. This shift is driven by the increasing complexity of cloud environments and the need for automated data analysis.
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.
DLP strategies for corporate content protection in distributed work
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.
Automating ISO/IEC 27001 Audits with AI by 2026
By 2026, companies will face intensified cybersecurity demands and the need to optimize ISO/IEC 27001 audit processes. The application of artificial intelligence will significantly automate this process, minimizing human errors and reducing preparation time.
AI-powered offboarding: defending against insider threats in 2026
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.